OBJECTIVES: Despite it´s importance, there are few published studies describing the burden of pneumococcal disease in elderly population of developing countries. The goal of this study is to estimate the burden of pneumococcal diseases in Mexico in people ≥50 years. METHODS: Mortality due to pneumonia, bacteremia, meningitis and acute otitis media (AOM) in patients ≥50 years was extracted from Mexican MoH official databases (2009 data, ICD-10 classification). Population structure was extracted from the Mexican official source. Incidence and prevalence of pneumococcal disease were extracted from published sources. Mortality was adjusted according to the proportion of deaths attributable to pneumococcal disease (from literature). Data were analyzed with DISMOD II software (to produce consistent estimates for epidemiological parameters of pneumococcal disease). Presence and type of comorbidities were taken in account: low risk: without comorbidities; mild risk: congestive heart failure, valvular disease, valvular disorders, pulmonary hypertension, peripheral vascular disease, hypertension, ischemic heart disease, stroke, COPD, diabetes mellitus, chronic renal failure, chronic liver disease, use of tobacco and  alcohol abuse; high risk: comorbidities associated to HIV/AIDS, lymphoma, tumors, splenic disease and sickle cell anemia. RESULTS: For 2009 were estimated 12,798 cases of meningitis, where 86% of patients had low risk and 13% had moderate risk of comorbidity, mortality rate was 1.6 per 100,000 inhabitants. For outpatient pneumonia 4,275 cases were estimated, 53% low risk and 46% mild risk. For inpatient pneumonia 31,631 cases were estimated, 78% low risk and 21% mild risk, mortality rate: 7.8 per 100,000. For AOM 9,817 cases were estimated (100% low risk). Meanwhile, 611 cases of bacteremia were estimated, 98% had low risk and 2% had mild risk. CONCLUSIONS: The availability of reliable epidemiological parameters regarding pneumococcal disease in Mexican population over 50 could support the evaluation of current prevention policies, as well as the design of more efficient ones.