Objective To analyze the epidemiological characteristics and medical resource demands for pre⁃hospital emergency in campus community. Methods Data from campus⁃community pre⁃hospital emergency cases treated by a Nanning emergency center between January 2023 and December 2024 were retrospectively analyzed. Disease classification, severity classification of diseases, and distribution difference of out⁃call hours were compared between emergency cases of students and faculty/staff group. Results A total of 935 campus⁃community pre⁃hospital emergency cases were enrolled, comprising 580 students (62.0%) and 355 faculty/staff (38.0%). The disease spectrum was mainly composed of traumatic diseases (24.1%), followed by other nervous system diseases (13.0%), cardiovascular system diseases (12.1%), and digestive system diseases (12.0%). The proportion of grade Ⅲ (emergency) was the highest (accounting for 64.3%) in terms of disease severity classification. Among the students, traumatic diseases (22.2%), other nervous system diseases (16.2%), and digestive system diseases (15.3%) were the main disease spectrum, and the disease severity was mainly grade Ⅲ (emergency) and grade Ⅳ (mild case). The peak of out⁃calls was concentrated in the school term (March to June and September to December, accounting for 91.6%), and the distribution of out⁃call hours was relatively uniform throughout the day. Evening (18:00 to 23:59) and nighttime (0:00 to 05:59) accounted for 55.9% in total. Among the faculty/staff group, traumatic diseases (27.0%), cardiovascular system disease (22.0%), and cerebrovascular diseases (11.5%) were the main disease spectrum, and the disease severity was mainly grade Ⅰ(critical illness) and grade Ⅱ(severe case). The number of out⁃calls was evenly distributed throughout the year. Daytime (06:00 to 11:59) and evening (18:00 to 23:59) accounted for 59.1% in total. Conclusion There are significant population specific demands for pre⁃hospital emergency in the campus community. Hierarchical intervention strategies can be formulated according to the disease spectrum and out⁃call hour rules of different groups, optimizing the dynamic allocation of emergency resources and improving the performance of pre⁃hospital emergency in the campus community.