The main objective of This study is to develop a method for predicting efficient local education finance using data envelopment analysis and data mining. Local education finance plays an important role in local development and national development. Therefore, local education financing requires efficient expenditure, and ineffective spending needs to be blocked. Therefore, this study predicts the efficiency of financial expenditure of each local education. In order to predict the efficient financial management technique, this study uses data envelopment analysis to analyze an effective education office and data mining to analyze the financial management style of efficient local education office. Decision tree among four data mining techniques showed the highest prediction power. As a result of the analysis, six financial variables were able to predict efficient local education offices. It will be possible to operate the local education finances efficiently through the revealed management style, and the method will be applicable in other fields.