This study examined associations between diagnoses with five chronic health conditions (diabetes, cancer, heart disease, asthma, and arthritis) and turnout in the 2012 US presidential election. We used cross-sectional survey data from 16 states from the 2013 and 2014 Behavioral Risk Factor Surveillance System. We estimated a logistic regression model with the main dependent variable as a survey item asking respondents if they voted. We also estimated logistic regression models stratified by race/ethnicity to assess whether the chronic health condition-turnout relationships varied within each racial/ethnic group. Results show that individuals diagnosed with diabetes were 7 percentage-points more likely to vote that those who were not. Stratified models revealed these diabetes-turnout relationships are particularly strong among those who identified as Hispanic and multiracial. Other health characteristics demonstrated consistency with previous literature, including lower self-rated health being associated with lower odds of turnout. Our research suggests an intriguing new relationship between the experience of diabetes and a higher propensity to vote and that different chronic health conditions have varying associations with the likelihood to vote, implying that some groups are more vulnerable to being underrepresented in politics.