Description: In this paper, mortality trends of males and females are examined from the beginnings of the human species until the present. Future projections are also made, and the implications of the widening gap in survival rates of women vs. men is discussed.

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: A detailed statistical analysis of mortality improvement for the Canadian population and for the Canadian insured lives conducted by the Institute for Quantitative Finance and Insurance.

Description: Spreadsheet with documentation for exhibits to the May 2007 report: The Potential Impact of Pandemic Influenza on the U.S. Life insurance Industry

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

Description: This study provides statistical indications of trends in mortality at ages 10 through 34 for both males and females in Canada. Causes of death, with emphasis on suicide and accidental death rates, are explored.

Description: Provides white vs. black mortality rates based upon Social Security data for years 1984 - 1988, and separate tables based upon data from 'Health United States' for years 1983 - 1987 and data from 'Vital Statistics of the United States' for years 1983 - 1987.

Description: This collection of data shows a trend in mortality during a period of many medical breakthroughs and social improvements.

Description: The purpose of this report is to develop information that may be useful to the Pennsylvania legislature in its efforts to regulate the funding of pre-need contracts. What we have done is to develop a theoretical basis for regulation and then to suggest some practical approaches to initial implementation.

Description: In an increasing population the number of persons falls off from age to age more rapidly than does the stationary population of the life table. This can introduce a systematic bias into life table calculations. The first part of the paper describes an iterative procedure to correct for the bias, extends the method to multiple decrement and associated single decrement life tables, and demonstrates the magnitude of the bias involved. The second part of the paper summarizes the results of applying iterative life table techniques to 165 populations which encompass over a century's experience and include countries from all parts of the world. Followed by discussions submitted by several people