In this paper we analyze publicly available US county-level data on social demographics, behaviors, and health outcomes to investigate correlations between various health factors and outcomes. Specifically, we focus on exploring possible links between socioeconomic factors, race/ethnicity, and health outcomes with the provided US county data. Our study presents findings through correlational matrices and heatmaps, visually representing the relationships. We investigate correlations such as the impact of negative economic factors on health outcomes compared to areas with better economic conditions. Additionally, we examine the relationship between educational attainment and health outcomes, and how income inequality and childhood poverty affect health behaviors like smoking and alcohol intake. We also explore how unemployment and lower insurance rates may influence mental and physical health outcomes differently. Furthermore, we analyze whether areas with higher ratios of primary care physicians and mental health providers experience more teen births. We also investigate how changes in unemployment and educational attainment may lead to shifts in health outcomes. Finally, we assess how the physical environment of a county affects the overall health outcomes of its population.