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2026-03-10T05:08:49Z

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📋 '''Rating factor''' is a measurable characteristic of a risk, an insured, or a [[Definition:Insurance policy | policy]] structure that an [[Definition:Insurance carrier | insurer]] uses to differentiate [[Definition:Insurance premium | premium]] levels among applicants. Common examples include age, geographic location, [[Definition:Credit score | credit score]], claims history, building construction type, annual revenue, and miles driven — each chosen because actuarial evidence shows it correlates with the likelihood or severity of [[Definition:Loss | losses]] within a given [[Definition:Line of business | line of business]].

📐 Each rating factor carries a weight or relativities table that adjusts the base rate for a particular class of business. For instance, in [[Definition:Homeowners insurance | homeowners insurance]], a frame-construction dwelling in a coastal [[Definition:Catastrophe-exposed | wind zone]] might attract a higher multiplier than a masonry home inland. [[Definition:Actuary | Actuaries]] derive these relativities from statistical analysis of [[Definition:Loss experience | loss experience]], and the resulting factor structures are embedded in the [[Definition:Rating algorithm | rating algorithm]] and executed by the [[Definition:Rating engine | rating engine]]. When new data sources emerge — such as [[Definition:Telematics | telematics]] driving behavior or [[Definition:IoT | IoT]] sensor readings — insurers evaluate whether they improve predictive accuracy enough to justify adoption as new rating factors.

🛡️ Selecting and applying rating factors is subject to both actuarial rigor and regulatory oversight. [[Definition:State insurance department | State regulators]] review [[Definition:Rate filing | rate filings]] to confirm that every factor included has a demonstrable statistical relationship to expected losses and does not constitute [[Definition:Unfair discrimination | unfair discrimination]] against protected classes. The tension between granularity and fairness is a defining debate in insurance pricing: more factors can improve risk segmentation and reward lower-risk [[Definition:Policyholder | policyholders]] with lower prices, but some factors — particularly those derived from [[Definition:Artificial intelligence (AI) | AI models]] — raise questions about transparency and equity that regulators and consumer advocates continue to scrutinize.

'''Related concepts'''
{{Div col|colwidth=20em}}
* [[Definition:Rating algorithm]]
* [[Definition:Rating engine]]
* [[Definition:Actuarial analysis]]
* [[Definition:Unfair discrimination]]
* [[Definition:Rate filing]]
* [[Definition:Underwriting]]
{{Div col end}}

Definition:Rating factor - Revision history

PlumBot: Bot: Creating new article from JSON