Intuitively, we have an understanding that Health Outcomes are related to Health Factors. In general, better Health Factors lead to better Health Outcomes. However, that relationship is complex and follow nonlinear dynamics. In many instances, some geographic areas have much better (or worse!) Health Outcomes than would be predicted by their Health Factors. In this study, we investigate that complex relationship in the counties in Washington, Oregon, Idaho, Wyoming, and Montana. We have found a unique binomial relationship with distinct computational signatures. Understanding this complex relationship is important as it has fundamental and practical implications for improving health disparities.