Description: This collection of data shows a trend in mortality during a period of many medical breakthroughs and social improvements.

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

Description: Spreadsheet with documentation for exhibits to the May 2007 report: The Potential Impact of Pandemic Influenza on the U.S. Life insurance Industry

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

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.

Description: This report reviews estimates of 2017 U.S. population mortality experience from the National Center for Health Statistics’ National Vital Statistics System.

Description: This paper was motivated in part by a desire to use, in a variety of classroom situations, some of the readily available statistics on mortality and related factors. A second aim was to illustrate certain statistical ideas, such as the relative merits of means and medians. However, the subject of racial differentials in mortality rates is of considerable intrinsic interest, which the analysis presented here only begins to address.

Description: This article outlines a practical approach for setting mortality rates using credibility theory. It includes formulas that can easily be applied to determine how much credibility to assign to the results of a mortality experience study.

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.