Objective@#Effective suicide prevention for at-riskadolescents requires increased access to medical treatment. Investigating the unique characteristics of suicide in this vulnerable at-risk non-referred sample can contribute to establishing effective suicide preventionpolicies. This study aimed to (a) examine at-risk non-referred adolescents’ suicide attempt rate, (b) investigate influential multilevel factors in predicting these adolescents’ suicide attempts, and (c) compare the results of (a) and (b) by gender. @*Methods@#A total of 401 samples (216 boys and 185 girls) were recruited through a school-based mental health project for at-riskadolescents. Multivariate hierarchical logistic regression analyses were performed at the individual-, contextual-, and protective levels to evaluate three multilevel models as well as to investigate predictabilities for the overall group and by gender. @*Results@#The suicide attempt rate of the overall sample was 29.4% (boys 18.1%, girls 42.7%), which was significantly higher than that of community samples. For boys, individual-level predictors (depression and conduct problems) had the most significant contribution in predicting suicide attempts. In contrast, for girls, protective-level predictors (familysatisfaction) contributed the most to the prediction of suicide attempts, followed by contextual-level predictors (academic grades). @*Conclusion@#This study is an important step in understanding the unique characteristics of at-risk non-referred adolescentswho have not yet been considered in mental healthpolicies. Improving medical accessibility will be the first step in establishing effective suicide preventionpolicies for these vulnerable samples.