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	<title>Definition:Table rating - Revision history</title>
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	<updated>2026-04-30T06:07:49Z</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:Table_rating&amp;diff=11970&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<updated>2026-03-12T01:01:32Z</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;Table rating&amp;#039;&amp;#039;&amp;#039; is an [[Definition:Underwriting | underwriting]] method used primarily in [[Definition:Life insurance | life]] and [[Definition:Health insurance | health insurance]] to assign a higher [[Definition:Premium | premium]] to applicants whose risk profile exceeds the threshold for standard rates but does not warrant outright declination. Rather than offering a single &amp;quot;standard&amp;quot; or &amp;quot;preferred&amp;quot; rate, the insurer places the applicant into one of several graduated risk tiers — often labeled with letters (A through J or higher) or numerical multiples — each carrying an incremental surcharge above the standard [[Definition:Premium rate | premium]].&lt;br /&gt;
&lt;br /&gt;
⚙️ When a [[Definition:Life insurance | life insurance]] applicant&amp;#039;s medical history, occupation, lifestyle, or other factors elevate their [[Definition:Mortality risk | mortality]] or [[Definition:Morbidity risk | morbidity]] risk, the [[Definition:Underwriter | underwriter]] consults internal rating tables that map specific conditions or combinations of risk factors to corresponding table assignments. Each step up the table typically adds a fixed percentage — often 25 percent per table — to the base premium. An applicant rated &amp;quot;Table D,&amp;quot; for example, might pay 100 percent more than the standard rate. The process relies on [[Definition:Actuarial analysis | actuarial analysis]] of historical [[Definition:Claims data | claims data]] correlating risk characteristics with actual [[Definition:Loss experience | loss experience]], ensuring that the surcharges are proportionate to the additional risk assumed. Some carriers also allow [[Definition:Flat extra premium | flat extra]] charges for temporary risks — such as a hazardous hobby the applicant plans to cease — instead of or in addition to table ratings.&lt;br /&gt;
&lt;br /&gt;
💡 Table rating serves a critical function by expanding the pool of insurable lives rather than simply dividing applicants into &amp;quot;accepted&amp;quot; and &amp;quot;declined&amp;quot; categories. This nuanced approach allows [[Definition:Insurance carrier | carriers]] to write [[Definition:Substandard risk | substandard risks]] profitably, generating [[Definition:Gross written premium (GWP) | premium volume]] that would otherwise be lost. For [[Definition:Insurance agent | agents]] and [[Definition:Insurance broker | brokers]], understanding how different carriers apply table ratings is essential to shopping impaired-risk cases effectively — one insurer&amp;#039;s Table C for a particular condition might be another&amp;#039;s Table B, meaningfully affecting the client&amp;#039;s cost. The practice also intersects with [[Definition:Insurtech | insurtech]] innovation: automated underwriting platforms increasingly use [[Definition:Predictive model | predictive models]] and real-time data to assign table ratings more quickly and consistently than traditional manual review, improving both speed-to-issue and pricing accuracy.&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:Substandard risk]]&lt;br /&gt;
* [[Definition:Underwriting classification]]&lt;br /&gt;
* [[Definition:Flat extra premium]]&lt;br /&gt;
* [[Definition:Risk classification]]&lt;br /&gt;
* [[Definition:Preferred risk]]&lt;br /&gt;
* [[Definition:Medical underwriting]]&lt;br /&gt;
{{Div col end}}&lt;/div&gt;</summary>
		<author><name>PlumBot</name></author>
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