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📊 '''Mortality table''' is a statistical tool used by [[Definition:Life insurance | life insurance]] companies and [[Definition:Annuity | annuity]] providers to project the probability of death at each age within a given population. Sometimes called a life table or actuarial table, it forms the mathematical backbone of [[Definition:Life insurance | life]] and [[Definition:Health insurance | health]] product design, presenting age-specific death rates that [[Definition:Actuary | actuaries]] rely on to calculate [[Definition:Premium | premiums]], set [[Definition:Reserve | reserves]], and evaluate long-term [[Definition:Liability | liabilities]]. Regulatory bodies such as the [[Definition:National Association of Insurance Commissioners (NAIC) | NAIC]] periodically update standard mortality tables — like the Commissioners Standard Ordinary (CSO) table — to reflect evolving longevity trends, and insurers are generally required to use these approved tables when demonstrating [[Definition:Solvency | solvency]] and filing [[Definition:Rate filing | rate filings]].

⚙️ A mortality table is constructed from large-scale population data, often drawn from census records, [[Definition:Policyholder | policyholder]] experience studies, or [[Definition:Reinsurance | reinsurer]] databases. Each row in the table corresponds to a specific age and shows the probability that an individual of that age will die before reaching the next age. [[Definition:Actuary | Actuaries]] apply these probabilities to calculate the [[Definition:Net premium | net premium]] needed for a [[Definition:Life insurance | life insurance]] policy — essentially answering the question: given a pool of insureds at age 40, how many claims should the insurer expect, and when? Insurers may also develop proprietary mortality tables that adjust standard figures for their own [[Definition:Underwriting | underwriting]] classes, separating [[Definition:Preferred risk | preferred]], standard, and [[Definition:Substandard risk | substandard]] risk categories. The distinction matters because a company insuring predominantly healthy, affluent policyholders will experience mortality rates well below the general-population table.

💡 Accurate mortality assumptions sit at the heart of an insurer's financial soundness. If a company underestimates how long its [[Definition:Annuity | annuity]] holders will live, it faces the risk of paying benefits far longer than its [[Definition:Reserve | reserves]] can support — a phenomenon known as [[Definition:Longevity risk | longevity risk]]. Conversely, overestimating mortality in a [[Definition:Term life insurance | term life]] portfolio means charging unnecessarily high premiums and losing competitive ground. Regulators scrutinize the mortality assumptions embedded in an insurer's [[Definition:Statutory accounting | statutory filings]] precisely because small deviations compound over decades. As data science advances, some [[Definition:Insurtech | insurtech]] firms are exploring dynamic mortality models that incorporate real-time health data and [[Definition:Predictive analytics | predictive analytics]], potentially replacing the static tables that have anchored the industry for over a century.

'''Related concepts'''
{{Div col|colwidth=20em}}
* [[Definition:Actuary]]
* [[Definition:Life insurance]]
* [[Definition:Longevity risk]]
* [[Definition:Annuity]]
* [[Definition:Underwriting]]
* [[Definition:Reserve]]
{{Div col end}}

Definition:Mortality table - Revision history

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