Mortality tables: Construction and usage in social insurance



Postponed activity





Deadline for registration

Postponed activity


El Salvador


Since the first mortality table conceived methodologically by Sir Edmund Halley; it is come to be recognized as the fundamental instrument for the probable projection of the future of any population group, under which it is indispensable that every social insurance entity has its own. Considering the scarcity of mortality tables in the Latin American region, CIESS proposes to carry out an academic activity that revolves around the elaboration of these tables.


All social security benefit systems have need of either the design, evaluation or restructuring of their information so as to estimate probable future events amongst the insured population. These include disability, old age and death, since they can occasion an obligation on the part of the institutions towards the insured or their beneficiaries. Based on the historical information gathered by the institutions, a statistical experience can be generated to help construct mathematical-actuarial models that allow for the estimating the probability of the occurrence of such events, both by gender, and by age, and by cause, thus generating the biometric or, which in turn may be simple or multiple The composition of these tables will expedite the calculation, primarily by social insurance, of probable future incomes and obligations in the short, medium and long term, both when plotting and evaluating their benefit systems.

Main objective

Recognize statistical tools and population studies to produce mortality tables for long-term benefit systems for social security.

Identify useful statistical tools for the development of tables of decrements.

Recognize sources of statistical information for demographic analysis.

List and calculate various useful indicators for population study.

Identify various survival models.

Statistics concepts

Demographics basics

Demographic phenomena

Sources of information for population study

Demographic analysis tools

Survival models

Interpolation and adjustments.

Teaching Methodology

The activity will be carried out through lectures and theory-practice classes.


A diagnostic evaluation and an examination at the end of the course will be applied to measure the impact of the training.

Works Cited

Bowers, Newton L. (1997). Actuarial Mathematics.

Mexico (2013). Life Expectancy: Life Tables, Global Health Observatory Data Repository.

Rowland, Donald T. (2003). Demographic Methods and Concepts.

Renshaw, A.; Haberman S. (22 de septiembre de 2008). Journal of the Royal Statistical Society Series D. The Statitian Vol.45, No.4.

Beers, Henry S. (1945). “Six-Term Formulas for Routine Actuarial Interpolation” in Discussion of Papers Presented in the Record, No.68, The Record of the American Institute of Actuaries, 34. No.68, The Record of the American Institute of Actuaries, 34.

Cunningham, Robin J.; London, Richard (2011). Models for Quantifying Risk.

Preston, S.H.; Guillot, M. (2001). Demography: Measuring and Modeling Population Processes.

Enrolee Profile

Security institutions with taken charge over actuarial matters, financial statistics, or with training in quantitative knowledge arenas.

It is also highly recommended that the participant have knowledge of computer management and electronic spreadsheets.