BackgroundWorldwide, suicide is one of the leading causes of death among adolescents and young adults. Given that suicide in this age group is common within vocational students, this study aims to provide insights into the prevalence, course, and risk factors of suicidal ideation (SI) and suicide attempts (SA) among students in vocational education over the past 10 years.MethodsThis study has a repeated cross-sectional design, utilizing data from 2013 to 2023 provided by the ‘Testjeleefstijl’ foundation in the Netherlands (‘Test Your Lifestyle’). In total, 101,182 students in vocational education completed a web-based standardized questionnaire. Univariate logistic regression was used to test the predictive value of risk factors separately (anxiety and depression, gender, age and school year) on SI and SA. In addition, a machine learning model (Berkelmans et al., 2023) was used for high-risk identification of combined risk factors (multivariate models).ResultsWithin vocational students, 12-month SI and SA prevalence increased from respectively 17.7% and 2.3% in schoolyear 2013–2014 to 23% and 3.2% in 2022–2023. Although female gender significantly predicted SI and SA in the univariate analyses, the multivariate models revealed that female gender decreased the likelihood of both SI (OR 0.9) and SA (OR 0.7). A high risk for anxiety and depression was the strongest predictor in the multivariate models for SI (OR 42.8) and SA (OR 19.0).ConclusionOver the past decade, the prevalence of SI and SA increased in students in vocational education, with the risk of anxiety and depression being the strongest contributing factor. While females had a higher prevalence of anxiety and depression, the results suggest these conditions tend to lead to SI and SA more quickly among male students. Early intervention in suicide prevention is crucial, highlighting the need to identify and address anxiety and depression. Vocational education schools have a critical role in this, emphasizing early screening and intervention, with specific attention to gender-specific factors.