Federal revenue sharing programs aim to make up lost tax revenue to counties that contain federal land, as counties do not receive any property tax revenue from publicly owned lands. This may have a significant impact on rural school districts with a limited tax base, as most funding for public education comes from property tax revenue. My analysis seeks to determine the full impact of certain federal revenue sharing payments (paid out by the U.S. Forest Service) on school districts in counties that contain U.S. Forest Service land. My analysis shows that the payments have little impact on school district budgets, indicating that states likely smooth for variations in the U.S. Forest Service payments.

The ever-increasing prevalence of diabetes mellitus and its associated healthcare costs in the United States has led to our healthcare system's need for cost-effective health resources and chronic disease management. The interventions of Community Health Workers (CHWs) can cost-effectively improve population health and prevent the unnecessary utilization of some medical services especially in rural, low-income, minority populations, where there is often limited access to healthcare. The purpose of this study is to investigate the relationship between the number of total CHWs in rural counties and the mean diabetes-related preventable hospitalization rates in Latino patients diagnosed with diabetes in those rural counties. The main goal of this research study is to contribute to the existing literature about the importance of CHWs especially in rural counties and the effect their presence has on diabetes-related preventable hospitalizations. Quantitative rural county data sets were analyzed to determine the correlation between the number of CHWs per rural county and the rate of diabetes-related preventable hospitalizations per rural county. Due to the COVID-19 pandemic outbreak, this research project was modified to be completed in a timely manner. A statistically insignificant moderately negative linear relationship was found between the two variables. Therefore, there was not enough statistical evidence in the sample to say that this correlation exists in the rural America population. Future research is needed to investigate this relationship more thoroughly.