Description: This graph indicates the overall historical trend in life expectancy at age 65.

Description: Presented at Living to 100 symposium, January 2002. This paper presents data on the mortality, and mortality improvement trends, for retired U.S. Civil Service employees and their survivors, and analyzes the relationship to such factors as: Indexed final salary, Amount of indexed annuity, Total service at retirement, Duration on the Annuity Rolls, Retiree vs. beneficiary, Disability vs. non-disability.

Description: Recent trends in mortality suggest that future gains in life expectancy will occur after age 80. This fact stresses the need and the importance to obtain precise measures of mortality at the highest ages, which are always subject to uncertainty due to misreporting of age at death.

Description: Transcript of the Q&A period from Session 5B.

Description: We employ a framework for the classification of mortality evolution patterns to HMD data. We find both supra-regional patterns and outliers from global trends.

Description: Mortality improvement rates for AG38 for 2017.

Description: The FAQ page sent to potential participants for the 2007-09 Individual Life Mortality Experience Study.

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 is an excel spreadsheet showing mortality data from all companies ILEC 2005–07 supporting files and additional information by age band. Please see the SOA website experience studies for the full report and other related tables.

Description: An article from The Actuary that highlights the strategic importance of inter-company mortality studies. Broad-based mortality studies form the backbone of the life actuarial profession. However, few companies have sufficient exposure or deaths to construct their own mortality table. Even is some large companies have enough data, there is still a vast majority of companies that do not. Historically, the void has been filled by means of inter-company studies.