Event Title

Income and Access to Healthcare’s Impact on Longevity Throughout Illinois Counties

Session Number

Project ID: BHVSO 13

Advisor(s)

Patrick Kearney, Illinois Mathematics and Science Academy

Discipline

Behavioral and Social Sciences

Start Date

20-4-2022 9:10 AM

End Date

20-4-2022 9:25 AM

Abstract

Across the United States, there is a twenty-year life expectancy difference between the county with the highest longevity and the county with the lowest longevity (USC). Income is a major factor with wealthier regions having some of the highest longevity. However, there are many more external factors, especially those relating to healthcare, that shorten the longevity of those residing in a particular region. This project determines the extent to which higher income and better access to healthcare, measured as the percentage of uninsured residents and the percentage of licensed physicians and surgeons in each region, affects the average life expectancy for each county in Illinois. These hypotheses will be tested using OLS regression analysis. These conclusions will inform further research and actions to be implemented to address the factors that are correlated with shorter life expectancies in order to decrease the gap between longevity within Illinois.

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Apr 20th, 9:10 AM Apr 20th, 9:25 AM

Income and Access to Healthcare’s Impact on Longevity Throughout Illinois Counties

Across the United States, there is a twenty-year life expectancy difference between the county with the highest longevity and the county with the lowest longevity (USC). Income is a major factor with wealthier regions having some of the highest longevity. However, there are many more external factors, especially those relating to healthcare, that shorten the longevity of those residing in a particular region. This project determines the extent to which higher income and better access to healthcare, measured as the percentage of uninsured residents and the percentage of licensed physicians and surgeons in each region, affects the average life expectancy for each county in Illinois. These hypotheses will be tested using OLS regression analysis. These conclusions will inform further research and actions to be implemented to address the factors that are correlated with shorter life expectancies in order to decrease the gap between longevity within Illinois.