Introduction: Understanding the contribution of cardiovascular risk factors (CVRF) of cardiovascular fatal events incidence in different populations is crucial to identify susceptible individuals more accurately. Objective: To analyze the 10 year follow up survival of this population with and without CVRF, and to estimate their attributable risk of CV fatal events. Method: A single cohort of 8,224 subjects (35-74y) free from CV disease was screened for CVRF in 2002-2003 using standard methods. From them, 114 suffered a CV fatal event. Comparison of survival and incidence, between exposed/non exposed to CVRF, Preventable Fraction (PF), Population Attributable Fraction (PPF) were estimated (Kaplan Meier, Log Rank, Z statistic). Results: A total of 3,975 men (48.3%) and 4,249 women (51.7%) mean age 50.3 ± 10.1 were follow-up. (mean 10.9y. 89,825 y/person observation). CVRF prevalence was Sedentarism (68,7%), Hypercholesterolemia (55,1%), Abnormal Waist Circumference IDF cutpoint (53,0%) Smoking (40,6%), Hypertension (35,3%), Diabetes M II (5,5%). Survival analysis showed that Hypertension (p<0.0001), Diabetes (p<0.0001), Men (p=0.004) and IDF abnormal Waist Circumference (p=0.02) were associated with higher risk of suffering a fatal CV event in the studied period. Sedentarism, Hypercholesterolemia and Smoking, evidenced no event risk difference (p values 0.4, 0.69 and 0.67, respectively). PF of Diabetes was 73% IC (56.2-82.7) p<0.0001 and the PPF for Hypertension was 60.9% (51.8-68.2) p<0.0001 Conclusions: In this population Hypertension and Diabetes add significant risk of suffering a fatal CV event in a 10y follow-up. 73% of events could be prevented in Diabetics II and up to 61% of CV fatal events incidence may be reduced with Hypertension control. Sedentarism, Hypercholesterolemia and Smoking are highly prevalent but evidenced no difference in survival rates. Identifying local attributable risk of CVRF aids to tailor preventive policies in different countries.