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Objectives: Assess the association of helmet use with motorcycle crash mortality and identify characteristics of riders who do not wear helmets in Connecticut crashes. Methods: Police crash data for Connecticut motorcycle crashes 2001-2007 were analyzed. Bivariate analysis and multivariable logistic regressions were performed including age, gender, seating position, road type, season, time of day, and recklessness. Results: Of the 9,214 crashes with helmet use data available, helmets were worn in 4,072 (44.2%). Non-helmeted riders, age > 18, riding interstate or state roads, in the evening or at night, and whowereridingrecklesslywere associated withhigher odds of fatality. Predictors of nonhelmet use included males, passengers, age <18 or 30 to 59, and riding in the summer, evening or at night, and on US, state, and local roads. Conclusion: Current crash data affirm that helmets reduce fatal crashes in Connecticut. A set of factors help predictnon helmeted riders to whom safety training could be targeted.