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📊 '''Loss frequency''' refers to the number of [[Definition:Claim | claims]] or [[Definition:Loss | losses]] that occur within a defined period, serving as one of the two fundamental building blocks — alongside [[Definition:Loss severity | loss severity]] — that [[Definition:Actuary | actuaries]] and [[Definition:Underwriter | underwriters]] use to evaluate [[Definition:Risk | risk]] and price [[Definition:Insurance policy | insurance policies]]. In practical terms, it answers the question: how often does a particular type of loss happen? A commercial property [[Definition:Insurance carrier | insurer]] analyzing a book of restaurant accounts, for example, might find that small fire-related claims occur with high frequency but low severity, while catastrophic structural losses are rare but devastating.

⚙️ Measuring loss frequency starts with collecting historical [[Definition:Claims data | claims data]] across a defined [[Definition:Exposure | exposure]] base — number of policies, insured locations, vehicle-years, or payroll dollars, depending on the [[Definition:Line of business | line of business]]. [[Definition:Actuary | Actuaries]] typically model frequency using statistical distributions such as the Poisson or negative binomial distribution, calibrating parameters to reflect the characteristics of the insured population. The resulting frequency estimates feed directly into [[Definition:Ratemaking | ratemaking]] models, where they are multiplied by average [[Definition:Loss severity | severity]] figures to produce [[Definition:Expected loss | expected loss]] costs. Frequency trends also inform [[Definition:Reinsurance | reinsurance]] purchasing decisions: a [[Definition:Cedent | cedent]] experiencing rising claim counts may seek an [[Definition:Aggregate excess of loss reinsurance | aggregate stop-loss treaty]] to cap cumulative exposure.

💡 Getting frequency right has outsized consequences for portfolio profitability. Even a modest underestimate — say, projecting four claims per hundred policies when the true rate is five — compounds across thousands of accounts and can erode an insurer's [[Definition:Loss ratio (L/R) | loss ratio]] significantly. Frequency analysis also drives strategic decisions about [[Definition:Risk selection | risk selection]] and [[Definition:Loss prevention | loss prevention]] investment. If data reveals that a specific class of [[Definition:Policyholder | policyholders]] generates disproportionately frequent claims, an insurer can tighten [[Definition:Underwriting guidelines | underwriting guidelines]], adjust [[Definition:Deductible | deductibles]], or deploy [[Definition:Loss control | loss control]] services to bend the frequency curve downward.

'''Related concepts'''
{{Div col|colwidth=20em}}
* [[Definition:Loss severity]]
* [[Definition:Ratemaking]]
* [[Definition:Expected loss]]
* [[Definition:Loss ratio (L/R)]]
* [[Definition:Aggregate excess of loss reinsurance]]
* [[Definition:Loss model]]
{{Div col end}}

Definition:Loss frequency - Revision history

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