<p>Adverse childhood experiences (ACEs) have long-lasting and extensive negative effects on individuals’ later lives. However, researchers have often studied groups that suffered ACEs as homogenous groups, overlooking ACEs and their associated factors in Chinese samples. This study aimed to examine the latent classes of ACEs among middle school students and the variations in their distribution based on demographic factors using latent category analysis (LCA). A total of 4,909 questionnaires were distributed to middle school students at 12 schools in Hubei province in central China. The questionnaire included the following components: revised Adverse Childhood Experiences-International Questionnaire, family socioeconomic status (SES) questionnaire, and demographic questionnaire. An LCA was performed on the 4,861 valid responses collected to categorize students into distinct latent classes, followed by a multinomial logistic regression analysis to examine the impact of demographic variables on the latent classes. The analysis identified five latent classes of participants: multiple adversity (6.15%), domestic violence (7.61%), low adversity (51.88%), outside family violence (6.30%), and parent absence groups (28.06%). The multinomial logistic regression analysis indicated that sex, age, only-child status, family long-term residence, and family SES were significant predictors of the latent class. Specifically, students from lower SES families and of relatively older age were more prone to experiencing ACEs. Social welfare bodies should implement targeted prevention and intervention measures for each of the identified classes.</p>