  High-quality healthcare in the US can be cost-prohibitive for certain
socioeconomic groups. In this paper, we examined data from the US Census and
the CDC to determine the degree to which specific socioeconomic factors
correlate with both specific and general health metrics. We employed visual
analysis to find broad trends and predictive modeling to identify more complex
relationships between variables. Our results indicate that certain
socioeconomic factors, like income and educational attainment, are highly
correlated with aggregate measures of health.
