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	<title>Definition:Industry class - Revision history</title>
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	<updated>2026-06-13T21:27:41Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Industry_class&amp;diff=13178&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<updated>2026-03-13T12:37:50Z</updated>

		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;🏗️ &amp;#039;&amp;#039;&amp;#039;Industry class&amp;#039;&amp;#039;&amp;#039; refers to a classification category used by [[Definition:Insurance carrier | insurers]] to group businesses or occupations according to the type of economic activity they engage in, for the purpose of assessing and pricing [[Definition:Risk | risk]]. In [[Definition:Commercial insurance | commercial lines]] — particularly [[Definition:Workers&amp;#039; compensation insurance | workers&amp;#039; compensation]], [[Definition:General liability insurance | general liability]], and [[Definition:Commercial property insurance | commercial property]] — the industry class assigned to an applicant determines the baseline [[Definition:Rate | rate]] or [[Definition:Premium | premium]] factor applied before individual risk characteristics and [[Definition:Experience modification | experience modification]] adjustments are considered. The classification reflects the statistical relationship between a particular type of business and its expected [[Definition:Loss | loss]] frequency and severity: a roofing contractor and an accounting firm present fundamentally different risk profiles, and industry class codes capture that distinction in a structured, actuarially defensible way.&lt;br /&gt;
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⚙️ Classification systems vary by line of business and jurisdiction but follow a common logic. In the U.S. workers&amp;#039; compensation market, the [[Definition:National Council on Compensation Insurance (NCCI) | NCCI]] and state-specific [[Definition:Rating bureau | rating bureaus]] maintain detailed class code manuals that assign each employer to one or more codes based on the nature of their operations — for example, code 8810 for clerical office workers or code 5551 for roofing. The [[Definition:Insurance Services Office (ISO) | ISO]] provides analogous classification systems for general liability and commercial property. Each code carries an associated [[Definition:Loss cost | loss cost]] or [[Definition:Manual rate | manual rate]] derived from aggregated [[Definition:Claims | claims]] data across all policies in that class. Internationally, similar classification frameworks exist: the UK and Lloyd&amp;#039;s market rely on Standard Industrial Classification (SIC) codes and proprietary class-of-business schemes, while regulatory and [[Definition:Statistical agent | statistical reporting]] standards in markets such as Australia, Canada, and various European jurisdictions maintain their own occupational and industrial groupings. The accuracy of classification directly affects [[Definition:Pricing | pricing]] adequacy — misclassification can lead to [[Definition:Adverse selection | adverse selection]] if lower-risk businesses are overcharged and leave, while higher-risk businesses benefit from artificially low rates.&lt;br /&gt;
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📋 Getting industry class right matters enormously to the financial health of an insurance portfolio. [[Definition:Underwriting | Underwriters]] rely on accurate classification as the starting point for risk evaluation; without it, even the most refined individual risk adjustments are built on a flawed foundation. Regulators audit classification practices precisely because systematic errors can distort the [[Definition:Rate filing | rate filings]] that determine what [[Definition:Policyholder | policyholders]] across an entire market segment pay. For [[Definition:Insurtech | insurtech]] companies and data-driven underwriting platforms, industry class also serves as a critical variable in [[Definition:Predictive model | predictive models]] — it is often the single most powerful predictor of loss experience in commercial lines before any supplemental data enrichment is applied. As the economy evolves and new business types emerge — cannabis dispensaries, gig-economy platforms, space-launch service providers — classification bodies must continually update their coding frameworks, and insurers that are slow to assign appropriate classes risk mispricing novel exposures.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Class code]]&lt;br /&gt;
* [[Definition:Experience modification]]&lt;br /&gt;
* [[Definition:Manual rate]]&lt;br /&gt;
* [[Definition:Loss cost]]&lt;br /&gt;
* [[Definition:Workers&amp;#039; compensation insurance]]&lt;br /&gt;
* [[Definition:Insurance Services Office (ISO)]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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