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	<title>Definition:Claims frequency - Revision history</title>
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	<updated>2026-04-29T10:39:47Z</updated>
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&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;📊 &amp;#039;&amp;#039;&amp;#039;Claims frequency&amp;#039;&amp;#039;&amp;#039; is a measure of how often [[Definition:Insurance claim | claims]] occur within a given [[Definition:Insurance portfolio | portfolio]], [[Definition:Line of business | line of business]], or risk group over a specified period, typically expressed as the number of claims per unit of [[Definition:Exposure | exposure]] — such as per policy, per vehicle, or per $1 million of [[Definition:Premium | premium]]. It is one of two fundamental dimensions of loss analysis in the insurance industry, the other being [[Definition:Claims severity | claims severity]], and together they determine the overall [[Definition:Loss experience | loss experience]] that shapes [[Definition:Pricing | pricing]] and [[Definition:Reserving | reserving]].&lt;br /&gt;
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🔢 [[Definition:Actuary | Actuaries]] calculate claims frequency by dividing the total number of reported claims by the total number of earned exposures during the measurement window. The metric is then trended, developed, and compared against historical benchmarks to identify whether losses are stable, improving, or deteriorating. In [[Definition:Auto insurance | auto insurance]], for example, a spike in frequency might signal worsening driving conditions or changes in policyholder behavior, while in [[Definition:Property insurance | property insurance]], an uptick could reflect increased [[Definition:Catastrophe (CAT) | catastrophe]] activity or emerging perils. [[Definition:Underwriter | Underwriters]] use frequency data alongside severity to calibrate [[Definition:Rate | rates]] and set appropriate [[Definition:Deductible | deductible]] thresholds.&lt;br /&gt;
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⚠️ Even modest changes in claims frequency can have outsized financial impact when multiplied across a large book of business. A 5% increase in frequency across a portfolio of hundreds of thousands of [[Definition:Insurance policy | policies]] may translate into millions of dollars in additional [[Definition:Incurred loss | incurred losses]]. This is why carriers monitor frequency trends continuously and adjust [[Definition:Underwriting guidelines | underwriting guidelines]] when patterns shift. [[Definition:Telematics | Telematics]], [[Definition:Internet of Things (IoT) | IoT]] sensors, and other [[Definition:Insurtech | insurtech]] tools are increasingly helping insurers reduce claims frequency proactively — by incentivizing safer behavior, enabling preventive maintenance, and triggering early warnings before small incidents become large losses.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
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* [[Definition:Claims severity]]&lt;br /&gt;
* [[Definition:Loss ratio (L/R)]]&lt;br /&gt;
* [[Definition:Exposure]]&lt;br /&gt;
* [[Definition:Actuarial analysis]]&lt;br /&gt;
* [[Definition:Experience rating]]&lt;br /&gt;
* [[Definition:Telematics]]&lt;br /&gt;
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