Description: Summary report of the Annuity 2000 Mortality tables complete with tables. This table is intended as an interim valuation table developed as a projection from the 1983 table.

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: A comparison of recently used mortality assumptions among state-based and large-city public pension plans.

Description: The Society of Actuaries (SOA) is pleased to present historical U.S. population mortality rates by gender and single year of age for calendar years 2000-2020. To develop these rates, the SOA relied upon data furnished by the Centers for Disease Control and Prevention, Centers for Medicare and Medicaid Services, the U.S. Census Bureau, and the Social Security Administration. A document summarizing key observations and the process used to develop the rates, along with a table of the rates themselves, can be found below.

Description: This study quantifies the range of intercompany variability in mortality. Mean actual-to-expected (A/E) ratios based on amount were calculated in each quintile for every combination of six key variables.

Description: This report discusses drivers of U.S. mortality improvement for the short and long term.

Description: This research will provide detailed insights into the risk factors that drive U.S. public-sector pension plan mortality experience. The public-sector pension plan mortality experience collected for this research will be aggregated, de-identified, and made available for further analysis. In addition, mortality tables based on this public-sector pension plan experience will be developed for use in the valuation and risk management of public-sector pension plans.

Description: U.S. Population Mortality Observations – Updated with 2021 Experience

Description: In this report, we consider high-level results from provisional mortality data released from the U.S. Centers for Disease Control and Prevention (CDC) for 2021, including looking at changes by sex and age group.

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.