Background: Cancer is the second leading cause of death in the United States and approximately 38.4% of Americans will be diagnosed with cancer during their lifetime. Cancer treatment and follow-up care is expensive and uninsured individuals may face barriers to receiving necessary treatments. Minorities may encounter additional barriers to accessing healthcare. There is limited research about socioeconomic disparities in uninsured cancer patients seen at free clinics in the United States. Methods: A retrospective chart review was conducted to collect chronic disease parameters from electronic medical records and paper charts at nine free clinics in the Tampa Bay area in Florida. Demographics were compared between cancer patients and the non-cancer population via chi-square test or independent samples t-test. Results: Between January 2016 and December 2017, 9127 uninsured patients were seen at nine free clinics. 2137 patients were excluded from the study because there was no cancer data in their charts. Of the patients included in the study, 221 (3.2%) had a current or past diagnoses of cancer. Cancer patients were more likely to be female (n = 145, 65.9), p = 0.048, compared to non-cancer patients. Cancer patients were more likely to be Caucasian (n = 106, 89.1%), p < 0.001 compared to non-cancer patients (n = 2489, 69.3%). Cancer patients were less likely to be African American compared to non-cancer patients (n = 6, 5.0% vs. n = 754, 21%), p < 0.001. Cancer patients were significantly older than non-cancer patients (M = 54.1, SD = 12.0) vs. (M = 41.0, SD = 16.7), p < 0.001. Patients who had cancer were more likely to be unemployed compared to non-cancer patients (n = 78, 54.9% vs. n = 1685, 46.6%), p = 0.050. Conclusions: The study revealed that uninsured cancer patients are more likely to be unemployed, female, of older age, and Caucasian compared to non-cancer patients. It appears that uninsured African Americans are not utilizing free clinics for their healthcare and may be lost to follow-up. A variety of factors may have contributed to these disparities in this vulnerable population including lack of transportation, lack of awareness of free resources in the area, and more. This study increases awareness of disparities in uninsured, cancer patients.