Mortality Tables and their use in Social Security

+5255 5377-4740


Format: Face to face course

Language: Spanish / English

Level: Specialised

Duration: 40 hours


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


  • Identifying useful statistical tools for drawing up life tables.
  • Understanding the sources of statistical information for demographic analysis.
  • Listing and calculate various indicators for populational studies
  • Identifying different survivorship models.


Since Sir Edmund Halley’s first methodologically developed mortality table, the instrument has been acknowledged as fundamental for the probability projections about the future can be made for the entire population, reason for which it is important for all social security systems to have their own. Recognising the scarcity of life tables for Latin America, the CIESS proposes to carry out an academic activity focused on developing these tables.


All social security benefits system need information for estimating the future likelihood of events in the insured population for both their design and their assessment or restructuring. This information includes: rotation, disability, old age and deaths, given that these phenomena will cause liabilities for institutions towards their beneficiaries and policyholders. Based on the historical information accumulated by these institutions, scenarios can be generated that help construct mathematical-actuarial models, allowing us to estimate the probability that such events will take place, classified by gender as well as by age and cause. This can be used in drawing up biometric tables, which in turn can be simple or multiple The preparation of these tables will primarily facilitate social insurance, the calculation of their probable income and future obligations in the short, medium and long term, both when designing and valuing the situation of their benefit systems.


  • Statistical concepts
  • Basic concepts of demography
  • Demographic phenomena
  • Sources of information for populational studies
  • Tools for demographic analysis
  • Survivorship models
  • Interpolation and adjustments.


Lectures and theory-practice classes will be combined.


An assessment and examination at the end of the course will be applied to measure the impact of the training.



For actuarial and math professionals, and officials and managers of social security institutions who are responsible for actuarial areas, financial statistics and/or risks, with training in quantitative fields of study.

It is also highly recommended that the persons have knowledge of computer management and electronic calculation sheets.


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  • 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.