Description: U.S. population mortality rates by gender and single year of age for calendar years 2000-2014. To develop these rates, the SOA relied upon data furnished by the Centers for disease Control and Prevention, Centers for Medicare and Medicaid Services, and the Social Security Administration.

Description: U.S. population mortality rates by gender and single year of age for calendar years 2000-2014. To develop these rates, the SOA relied upon data furnished by the Centers for Disesase Control and Prevention, Centers for Medicare and Medicaid Services, and the Social Security Administration.

Description: This article discusses the sources of the information in the Social Security Death Master File and the potential utility of this information for demographic studies of centenarians and near-centenarians.

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: 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: 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: The article provides a summary of key issues presented at the 2023 U.S. Living to 100 Symposium focused on the interests of retirement professionals and retirees. It provides an overview of the subjects covered. The discussion focused on the well-being of retirees and the development of the retirement system. It is focused on late-in-life issues and having the best life possible during that period. It balances technical and lifestyle issues, with an emphasis on mortality and longevity trends and influences. Some of the topics discussed include the impact of COVID, climate, housing, and age-friendly communities. The Elder Tech Symposium was merged into Living to 100 and includes discussion of a variety of technology approaches to improve lives and simplify support. The symposium recognized that the decisions needed and concerns during retirement are different later in life, particularly as people decline.

Description: Presented at Living to 100 symposium, January 2011. Using data from Social Security's Death Master File, this study shows that mortality deceleration in humans observed at advanced ages may be an artifact caused by age exaggeration, data heterogeneity or use of improper estimates of hazard rate. The phenomenon of mortality deceleration at older ages vanishes for datasets of higher data quality.

Description: In this project the researchers explored the new opportunities provided by the ongoing revolution in information technology for studies of exceptional human longevity. Methodologies and interpretation of the results were presented.

Description: The most recent demographic data published in Mexico allows us to analyse in detail the profound demographic transition that has been taking place in the country for more than four decades. It is possible to develop forecasts for the future on the basis of this historic experience. The purpose of this article is not only to illustrate the profound demographic change in Mexico – and what it is expected to experience over the coming decades – but to highlight the challenges for the insurance industry posed by the various demographic trends. Wherever challenges are found, however, opportunities also exist, provided the industry succeeds in adequately transforming its own processes and meeting the needs of a changing market.