The purpose of this study was 1) to develop good citizenship indicators of Rajabhat Universities' Students in the Northeast of Thailand. 2) to classify latent profile of good citizenship of Rajabhat University's students in the northeast of Thailand. The sample was 800 Rajabhat University's students in the northeast of Thailand. Findings 1) there are only 8 indicators of good citizenship 2) revealed that two-class solution exhibited the best empirical and conceptual fit with the data and the entropy measure is higher the most Classification Quality (Entropy = 0.9222 likelihood = -1840.622, AIC = 3731.244, BIC = 3848.359 and ABIC = 3768.970). The proportion of students in the first group, low level of good citizenship, was 258 students (32.20%), and 542 (67.70%) in Group 2, high level of good citizenship.