Description: This paper is about the world's oldest-old population - those 80 years and older - and their life expectancy. It provides a few methods for extending the life tables to age 100 and beyond, and projects mortality patterns at very old ages.

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: The abstract for the paper An Extreme Value Analysis of Advanced Age Mortality Data.

Description: This abstract describes a paper that studies the relation between the two basic random events associated with human mortality: birth and death.

Description: This article delves into a new line of statistical thinking of the author, that may be useful for product development actuaries. The key concept is how product design can produce products that diversify quickly, meaning that the company can be confident of a profitable product line, based on fewer sales than might be true for other designs.

Description: This article talks about longevity risk and reinsurance and its global challenges.

Description: This paper presents a brief history of life insurance risk assessment and explores a future including wearable devices, genetic testing and digital health data

Description: This graph indicates the overall historical trend in life expectancy by gender at birth.

Description: Shows the average historical and estimated annual mortality improvement by age grouping for the three countries, both in terms of long averages and the ultimate level assumed.

Description: Speakers provide insights for adjusting historical and future mortality for COVID-19. Recent Society of Actuaries research examining historical U.S. population mortality by socioeconomic category and methodologies for removing the impact of COVID-19 from mortality rates will be presented. Additionally, results from an expert opinion survey on COVID-19 and future mortality will be discussed. Thoughts on how companies are utilizing external and internal sources to modify mortality assumptions/models for COVID-19 will be shared.