Introduction: Health indices vary widely within the United States (U.S.), with clear “belts and epicenters” where the prevalence of unhealthy lifestyle behaviors, chronic disease, and disability are all high. Arthritis is a significant, well-established risk factor for developing chronic disease. In this paper, we hypothesize that the prevalence and patterns of arthritis in the U.S. will mirror that of other leading health issues across the country. Methods: We merged county-level data on arthritis, disability, and depression prevalence, the Lifestyle Health Index (LHI), the Social Vulnerability Index (SVI) and the American Nations regional cultures schematic. Results: Data was available from 3073 U.S. counties. We found age-adjusted arthritis prevalence has statistically significant and generally strong Pearson product correlations (r ≈ 0.70, P < 0.001) with (1) LHI sub scores and overall score; (2) Depression prevalence; (3) Disability prevalence; and (4) SVI. The geographic distribution of age-adjusted arthritis prevalence according to the American Nations regional cultures model demonstrated clear heterogeneity across regions. Conclusions: The status of population health in the U.S. is disconcerting and the current model of health care delivery, which is often approached from a siloed (condition-specific vs holistic care), reactionary, secondary prevention model, is inadequate to the challenge.