Background Ulcerative colitis (UC) is an inflammatory condition characterized by chronic, disabling gastrointestinal symptoms that can have detrimental effects on psychological, social, and professional quality of life. Few studies have examined patient-reported outcomes (PROs) and economic outcomes among individuals with varying UC severity and across different racial/ethnic groups.Methods This cross-sectional study assessed sociodemographic data, PROs, and economic outcomes for participants from the National Health and Wellness Survey (2018, 2019, and 2020) with UC. Multivariable analyses were used to assess the association of self-reported UC severity and race/ethnicity with health-related quality of life (HRQoL), work productivity and activity impairment (WPAI), healthcare resource utilization (HCRU), and medical costs.Results This study included 1500 participants with UC (1150 non-Hispanic White, 99 non-Hispanic Black, and 251 Hispanic). Moderate/severe disease was associated with significantly worse HRQoL and WPAI, greater HCRU, and higher direct medical costs than mild UC. Compared with non-Hispanic White participants, non-Hispanic Black participants reported better HRQoL, whereas Hispanic participants reported more HCRU and higher medical costs. Race/ethnicity significantly interacted with UC severity level in predicting labor force participation.Conclusions Participants with moderate/severe disease had worse outcomes than those with mild UC. Additionally, racial/ethnic differences were found in HRQoL, employment, WPAI, HCRU, and direct medical costs. Notably, Hispanic participants showed distinct patterns, particularly in how disease severity influenced employment outcomes. Further research is needed to better understand the differential burden among patients across racial/ethnic groups. Ulcerative colitis (UC) severity and disease burden vary across race/ethnicity groups, influencing patient outcomes with different effects on quality of life, employment, work impairment, healthcare visits, and medical costs. Understanding contributing factors across race/ethnicity groups can help optimize care. Graphical Abstract