Purpose: This study aims to examine how gender variation in trans identities shape exposure to bias and discrimination. The authors then examine how trans identities intersect with race/ethnicity, education and social class to shape exposure risk to bias, discrimination and harassment in the workplace. Design/methodology/approach: The authors use data from the 2015 U.S. Transgender Survey with 24,391 trans-identified respondents. To account for the nested nature of trans people in state contexts, the authors use two-level logistic multilevel models. The authors are guided by Puwar’s bodies out of place as the theoretical grounding for this study. Findings: The authors find significant differences in how trans women and men experience discrimination. The authors also find differences in race, education and social class. Finally, the presence of anti-discrimination policies presents mixed results. Originality/value: The authors’ analysis reveals important differences in trans workers’ exposure to discrimination based on gender identity, social class, race/ethnicity and policy context, and draws upon a rich and large data set.