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⚰️ '''Mortality''' in insurance refers to the incidence and probability of death within a defined population, serving as the foundational metric upon which [[Definition:Life insurance | life insurance]], [[Definition:Annuity | annuity]], and [[Definition:Pension | pension]] products are priced, reserved, and managed. [[Definition:Actuary | Actuaries]] quantify mortality through [[Definition:Mortality table | mortality tables]] (also called life tables), which assign a probability of death to each age, sex, and risk classification. The accuracy of these estimates directly determines whether an insurer collects sufficient [[Definition:Premium | premiums]] to meet future [[Definition:Death benefit | death benefit]] obligations without eroding [[Definition:Surplus | surplus]].

📊 Mortality assumptions flow through virtually every financial calculation a life insurer performs. [[Definition:Underwriting | Underwriters]] use them to classify applicants into risk tiers — preferred, standard, or [[Definition:Substandard risk | substandard]] — with each tier reflecting a different expected mortality curve. [[Definition:Reserving | Reserve]] calculations rely on mortality assumptions to project the timing and magnitude of future payouts, while [[Definition:Embedded value | embedded value]] and [[Definition:Capital management | capital adequacy]] analyses stress-test these assumptions under adverse scenarios. The distinction between [[Definition:Period mortality | period]] and [[Definition:Cohort mortality | cohort]] mortality matters as well: period rates capture a snapshot at one point in time, whereas cohort rates track a generation through its lifetime and can incorporate expected [[Definition:Mortality improvement | mortality improvements]] from medical advances.

🧬 Shifting mortality trends pose both opportunities and risks to the industry. Declining mortality has benefited life insurers over decades by reducing [[Definition:Claims management | claims]] frequency, but it simultaneously increases longevity exposure on annuity and pension books. Unexpected mortality shocks — such as the COVID-19 pandemic — test the adequacy of [[Definition:Loss reserve | reserves]] and [[Definition:Reinsurance | reinsurance]] protections in ways that historical tables cannot fully anticipate. Emerging data sources, including wearable health devices and [[Definition:Predictive model | predictive analytics]], promise to refine mortality estimation at the individual level, enabling more granular [[Definition:Risk segmentation | risk segmentation]]. However, regulators and consumer advocates scrutinize such innovations to ensure they do not produce [[Definition:Unfair discrimination | unfair discrimination]] or erode access to affordable coverage for higher-risk populations.

'''Related concepts'''
{{Div col|colwidth=20em}}
* [[Definition:Mortality table]]
* [[Definition:Life insurance]]
* [[Definition:Longevity risk]]
* [[Definition:Annuity]]
* [[Definition:Actuarial assumption]]
* [[Definition:Mortality improvement]]
{{Div col end}}

Definition:Mortality - Revision history

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