Description: This is an update of a report published originally in June 20211 comparing total U.S. population mortality to baseline expectations by age and sex. The report now includes U.S. population numbers through August 17, 2022, so the years 2020 and 2021 are now mostly complete.

Description: This is an update of a report published originally in June 20211 comparing total U.S. population mortality to baseline expectations by age and sex. The report now includes U.S. population numbers through August 17, 2022, so the years 2020 and 2021 are now mostly complete.

Description: This report covers historical mortality from 1999-2018 by race as categorized by population data from the Centers for Disease Control and Prevention’s (CDC) WONDER database. Mortality for all deaths and six specific causes of death are considered over this period. Additionally, in 2020, the COVID-19 pandemic has influenced mortality as a whole and this report shows the breakdown of COVID-19 deaths by race.

Description: Attempts to Quantify Potential Impact of Pandemic Influenza on the U.S. Life Insurance Industry

Description: Mortality Improvement Scale MP-2016 is an update to Mortality Improvement Scale MP-2015 that includes three additional years of historical U.S. population mortality data and modification of two input values designed to improve the model’s year-over-year financial stability. The page includes the updated Scale MP-2016, the accompanying Scale MP-2016 document, and an updated RPEC_2014_v2016 Model Implementation Tool for actuaries to create their own mortality improvement scales using RPEC’s model and the updated data set.

Description: Study of the Effect of a Flu Pandemic on Insured Mortality Using the Delphi Method

Description: Survey of post level term lapse and mortality assumptions for level term premium plans.

Description: This paper is the final report in a project commissioned by the Society of Actuaries Social Security Committee. The paper considers a variety of possible risk classification factors that could be used in estimating the value of any mortality based benefit for retirees. As many countries consider mandatory individual retirement accounts as their answer to a secure Social Security system, the question arises as to whether all workers can get true 'market value' annuities when they retire. It is clear today that private sector life annuities are priced assuming that the applicant is healthy-very healthy. Very little underwriting or risk classification now exists in the individual annuity marketplace. This paper reviews 45 recent research papers that look at factors that affect mortality after retirement. In particular, factors that seem to be important in predicting retirement mortality include: age, gender, race and ethnicity, education, income, occupation, marital status, religion, health behaviors, smoking, alcohol, and obesity. For each factor, this paper gives highlights relative to the named factor of the impact expected from that variable as described in the 45 reviewed research papers.