The number one leading cause of death in 2017 for Americans was cardiovascular disease, and health disparities can exacerbate risks. This study evaluates the 2018 Behavioral Risk Factor Surveillance System (n=437,436) to estimate population risks for behavioral, socio-economic, psychological, and biological factors. A general linear model with a quasi-binomial link function indicated higher risks for the following groups: smokers, individuals with higher body-mass index scores, persons unable to work, individuals with depression, workers who missed more days due to mental issues, the elderly, those in race categories “indigenous Americans, Alaskan non-Hispanics” or “other, non-Hispanic,” and individuals with lower income. The results confirm previous studies and raise more questions about drinking and cardiovascular disease. Policy and ethical considerations are also discussed.