The Health Resources and Services Administration (HRSA) supports Community Health Centers (CHCs) which serve a large population of patients with Limited English Proficiency (LEP) through annual grants. The focus of this work is to review how CHCs with a high percentage of LEP patients perform in one disparity seen in the literature and an outcome measure in the HRSA database: cervical cancer screening. The LEP disparity was evaluated to determine how well CHCs with higher percentages of LEPs perform in cervical cancer screening rates and if they compare with national screening rates for all CHCs in the United States. Additional independent variables were included with LEP as covariates: rural residence (for California only), racial or ethnic identity, proximity to federal poverty level, and uninsured status. Descriptive statistics and regression models were completed for both California and all U.S. CHC, using cervical cancer screening as the dependent variable. As additional analysis, rural and non-rural California CHCs were compared through logistic regression (bivariate). For California CHCs, the final logistic model attained through backward selection contained Hispanic/Latino and LEP for the outcome of Cervical Cancer Screenings. For all U.S. CHCs, the multivariate model contained three variables: American Indian / Alaska Native, LEP, and Uninsured. Rural CHCs in California were significant for a decrease in Cervical Cancer Screening and LEP, an increase of 5% in the American Indian / Alaska Native (AI/AN) population, and other significant differences to Non-Rural CHCs. The results support an association of LEP with cervical cancer screenings at community health centers. Community health centers’ cervical cancer screening rates were not equivalent across state (California) and national numbers. Cervical cancer screening rates were also different when comparing rural and non-rural regions in the secondary analysis. In summary, this study emphasized how community health centers performance in screening were considerably behind national rates. The significant LEP independent variable in the two final multivariate models suggests the need to pursue further work using an un-suppressed database to better quantify the impact of LEP status on a health outcome such as cervical cancer screening at community health centers.