Description: This report provides various summaries of the above listed data and provides observations from these summaries, with a goal to help actuaries understand the emerging trends in mortality due to COVID-19.

Description: After a sustained period of mortality improvement, U.S. population mortality improvement has stagnated in recent years. The presenters will discuss mortality improvement trends in the U.S. population and the causes of death contributing to these trends. U.S. population cause of death trends will be analyzed and compared to trends in the insured population. Mortality rates for major causes of death will be compared between the U.S. population and the insured population. In addition, assumption setting for both older age and later duration mortality as well as mortality improvement will be covered.

Description: This report provides an educational background on the process of building predictive models, as well as a detailed presentation of the model results. Predictive models provide a method to capture variation by multiple variables and understand the relationship between these variables. This allows for a deeper understanding of key variables than is possible under a traditional approach.

Description: To understand the relationship between lifestyle behaviors and mortality, RGA investigated a national, health-related, mortality-linked data set provided by the U.S. Centers for Disease Control and Prevention (CDC). RGA Strategic Research Actuary Julianne Callaway discusses the company's findings.

Description: U.S. population death statistics and trends often occupy COVID-19 briefings and daily headlines. There are also publicly available mortality data sources for actuaries and others to perform their own analysis. Yet industry studies examining the impact of COVID-19 on insured populations are in their infancy. In this webcast, presenters will provide insights into how the life insured population is faring during COVID-19 by discussing the findings from two recent SOA research initiatives. LIMRA, RGA Reinsurance, the Society of Actuaries and TAI have collaborated on an effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience. Additionally, the SOA has surveyed insurers to gather a high-level view of U.S. Group Term Life Insurance mortality results during the COVID-19 pandemic and comparing them to pre-pandemic mortality levels.

Description: The SOA has collaborated with LIMRA, Reinsurance Group of America (RGA), and TAI on an ongoing effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience. The data collected for this study included 2.8 million deaths from life insurance policies covering the period January 1, 2015 to September 30, 2020.

Description: This report provides an educational background on the process of building predictive models, as well as a detailed presentation of the model results. Predictive models provide a method to capture variation by multiple variables and understand the relationship between these variables. This allows for a deeper understanding of key variables than is possible under a traditional approach.

Description: U.S. Individual Life COVID-19 Mortality Claims Analysis

Description: Term Life insurance is a popular product in the U.S. As a growing number of policyholders have been reaching the end of the level term period, the SOA has been committed to studying policyholder behavior in the post-level term (PLT). Shock lapse, post-level term lapse and mortality have previously been analyzed in SOA PLT studies conducted in 2010 and 2014. This study provides an update of experience and some valuable new insights.

Description: The COVID-19 (COVID) pandemic has increased the demand for data and analysis on the impact of COVID on U.S. population mortality. This report is based on 2020 provisional death data released by the CDC. The SOA plans to update this report after additional 2020 cause of death data in released by the CDC later in 2021.