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Abstract

This paper examines the effect of local economic factors on the amount of opioid overdose deaths across counties in Ohio. Ohio leads the nation in opioid overdose deaths. The data examined spans all 88 counties of Ohio and compares 2009 and 2013 data, relying predominantly on Ohio Department of Health and US Census American Community Survey data. Using two linear regression models, I demonstrate that there is a significant correlation between insured rates and opioid overdose deaths in 2009 as well as a significant correlation between poverty rates and opioid overdose death rates in Ohio in 2013. Additionally, I show significant evidence that number of deaths caused by opioid overdose differs greatly in metropolitan counties compared to rural counties.

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