Aim — to assess the absolute 10-year mortality risk for cardiovascular diseases in men living in Tyumen depending on biological and socio-economic risk factors (RF), and to create an algorithm for its assessment. Materials and methods. During an epidemiological study in 1996—1997, 795 men at the age from 25 to 64 years living in the central administrative district of Tyumen were examined. Cardiovascular (CV) mortality had been analyzed for 10 years after the screening. In total, over the period of prospective observation, 83 deaths from cardiovascular causes were registered. We used the Cox regression model to create a model of total cardiovascular risk. We assessed correlations between mortality and biological factors (age, smoking, systolic and diastolic blood pressure (SBP and DBP), body mass index, plasma cholesterol (PCh), low density lipoprotein cholesterol, triglycerides and high density lipoprotein cholesterol), as well as social and economic parameters (education, profession and marital status). Results. Six statistically significant indices were selected in order to create a model of total cardiovascular risk: age, DBP, PCh, primary education, work associated with hard physical labor, and single marriage status. A model was created to assess the absolute total mortality risk from CV diseases in men with good predictive accuracy (area under the curve was 0.746). Conclusion. The created mathematical model, based on statistically significant traditional and psychosocial RFs, makes it possible to effectively predict the total cardiovascular risk at an individual level in the population of Tyumen men.