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

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

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

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

Description: In an increasing population the number of persons falls off from age to age more rapidly than does the stationary population of the life table. This can introduce a systematic bias into life table calculations. The first part of the paper describes an iterative procedure to correct for the bias, extends the method to multiple decrement and associated single decrement life tables, and demonstrates the magnitude of the bias involved. The second part of the paper summarizes the results of applying iterative life table techniques to 165 populations which encompass over a century's experience and include countries from all parts of the world. Followed by discussions submitted by several people

Description: The Human Mortality Database is a unique open‐access collection of detailed mortality and population data for 38 countries.