Description: Comparison of life expediencies in 2020 from various mortality tables

Description: The Society of Actuaries Strategic Research Program Steering Committee is pleased to release this report examining how well people estimate their own life expectancy.

Description: Conventional wisdom in the U.S. is that mortality by violent causes of death is disproportionately experienced in underrepresented communities. This study aims to quantify this experience in more detail than is commonly reported.

Description: The Society of Actuaries has developed this report to provide insights on the historical levels and emerging trends in U.S. population mortality. The most recently released U.S. population mortality experience from 2017 has been incorporated and added to prior available data to enable analysis of mortality experience over the period 1999-2017. This research is part of its ongoing longevity and mortality research initiatives.

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 project models and forecasts premature cardiovascular mortality, with a focus on two main risk factors - obesity status and education attainment level. It investigates the role of obesity and education in determining age-sex-specific premature cardiovascular mortality.

Description: This report explores the behavioral factors influencing insurance purchase among Gen Z and Millennials for forward-looking purposes, leveraging a rich dataset spanning 22 markets across six continents.

Description: This report examines the mortality of Canadian pensioners subdivided by pension level, using data from the Canada Pension Plan (CPP) and Québec Pension Plan (QPP)

Description: This study develops a detailed set of life tables by socioeconomic category and examines mortality trends in the United States from 1999 to 2018.

Description: The purpose of the present paper is to discuss some of the methods by which fertility variations can be incorporated into population forecasts. From ARCH 1984, Vol. 1.