Severe acute respiratory syndrome coronavirus-2 (SARSCoV-2) has infected millions globally, causing pandemic coronavirus disease 2019 (COVID-19). At the time of writing, approximately 940,000 COVID-19 deaths have occurred in the United States, with over 84,000 deaths in Texas. This study hypothesized that an interconnected model with county-level variables related to income, insurance rates, rurality, health status, and 2020 presidential voting behaviors would cumulatively predict the county-level COVID-19 Fatalities per Capita rate in Texas. The path analysis conducted found strong support for the proposed model structure (R2 = 37.6%) with the strongest total effects on COVID-19 Fatalities per Capita from socioeconomic (Median Income) and political (Percent 2020 Democrat Vote) factors. Increased county-level Median Income and Percent 2020 Democrat Vote were both negatively related to COVID-19 Fatalities per Capita. These results can, in part, be explained by the politicization of the pandemic and the relevance of increased monetary resources that might allow a county's population some protection from the most severe effects of COVID-19. The findings of this study introduce robust analyses regarding some of the major contributing factors of the county-level COVID-19 Fatalities per Capita rate and demonstrate an important contribution of knowledge regarding public health disparities across Texas counties. [ABSTRACT FROM AUTHOR]