The purpose of this study was to ascertain the relationship between district-level per-pupil expenditures and district-level student achievement in rural South Carolina school districts. School districts in rural South Carolina are synonymous with higher concentration of minority students and students living in poverty (Showalter, 2019). The rationale of this study was to understand how the funding infrastructure in South Carolina, which is reliant upon property valuation, relates to student achievement. Similar to Nicks et al. (2018), this study used district-level data from state-mandated testing. Additionally, this study encapsulated pre-Covid district-level data from 2019 and post-Covid data from 2022. Furthermore, this quantitative study deployed a multiple linear regression. Southworth (2010) used multiple linear regressions to identify the most accurate predictor of student achievement. Similar to Southworth (2010), this study used multiple predictor variables to identify the most accurate predictor of student achievement. The correlational test concluded strong to weak negative relationships between district-level per-pupil expenditures and district-level students in 2019. The statistical paradigm persisted in 2022, except for district-level graduation rates, which found a weak positive relationship between district-level per-pupil expenditures and graduation rates. Statistically, both 2019 and 2022 correlational studies yielded various statistically significant and insignificant results. Both 2019's and 2022's multiple linear regressions identified the percentage of minority students and the percentage of students living in poverty as the most accurate predictors of student achievement in rural South Carolina school districts. The findings mentioned above supported the national study by Coleman (1966). [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://bibliotheek.ehb.be:2222/en-US/products/dissertations/individuals.shtml.]