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📊 '''Claim frequency''' is the measure of how often [[Definition:Claim | claims]] occur within a defined [[Definition:Insurance | insurance]] portfolio over a given period, typically expressed as the number of claims per unit of [[Definition:Exposure | exposure]] — such as claims per hundred policies, per million dollars of [[Definition:Premium | premium]], or per thousand vehicle-years. It is one of the two fundamental building blocks of [[Definition:Loss forecasting | loss forecasting]], the other being [[Definition:Claim severity | claim severity]] (the average cost per claim). Together, frequency and severity determine [[Definition:Pure premium | pure premium]] and drive every downstream pricing and reserving decision an [[Definition:Insurance carrier | insurer]] makes.

📈 [[Definition:Actuary | Actuaries]] model claim frequency using statistical distributions — commonly [[Definition:Poisson distribution | Poisson]] or [[Definition:Negative binomial distribution | negative binomial]] models — fitted to historical experience data segmented by [[Definition:Line of business | line of business]], territory, class, and other [[Definition:Rating variable | rating variables]]. An auto insurer, for instance, tracks frequency separately for collision, comprehensive, and [[Definition:Bodily injury liability | bodily injury]] coverages because each responds to different drivers: traffic density and distracted driving may push collision frequency upward, while improved vehicle security suppresses comprehensive theft frequency. In [[Definition:Commercial insurance | commercial lines]], frequency analysis helps [[Definition:Underwriter | underwriters]] distinguish between accounts that generate many small claims and those that produce rare but severe losses — a distinction critical for setting [[Definition:Deductible | deductibles]], structuring [[Definition:Excess of loss | excess-of-loss]] layers, and purchasing [[Definition:Reinsurance | reinsurance]].

🔑 Shifts in claim frequency can signal profound changes in the risk environment. The drop in auto claim frequency during the early stages of the COVID-19 pandemic, for example, temporarily boosted [[Definition:Loss ratio | loss ratios]] and sparked debates about [[Definition:Premium refund | premium refunds]]. Conversely, rising [[Definition:Homeowners insurance | homeowners]] claim frequency tied to severe convective storms has reshaped [[Definition:Catastrophe risk | catastrophe modeling]] assumptions and prompted carriers to reevaluate their geographic footprint. Monitoring frequency trends in near real time — increasingly possible through [[Definition:Telematics | telematics]], [[Definition:Internet of Things (IoT) | IoT]] sensors, and digital [[Definition:First notice of loss (FNOL) | FNOL]] data — gives insurers an early-warning system that informs mid-term [[Definition:Underwriting guidelines | underwriting guideline]] adjustments and [[Definition:Loss reserve | reserve]] adequacy reviews.

'''Related concepts'''
{{Div col|colwidth=20em}}
* [[Definition:Claim severity]]
* [[Definition:Pure premium]]
* [[Definition:Loss ratio]]
* [[Definition:Actuarial analysis]]
* [[Definition:Exposure]]
* [[Definition:Loss trend]]
{{Div col end}}

Definition:Claim frequency - Revision history

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