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The purpose of this study is to suggest the implication for ESP learners vocabulary list based on Corpus by constructing and analyzing airline’s safety manual. Over the past 10 years in Korea, Corpus based ESP research has been gradually increasing, as it was frequently applied to various fields of English education and related research. Since safety related vocabulary is essential to know as a flight attendant’s duty, Corpus analysis based on Safety manual can be a very efficient approach to delivering content for ESP-related discipline. Therefore, 6 different safety manuals from foreign airlines were collected to make a list followed by extracted from specialized corpus program called AntConc 3.5.7. The total number of word types from all data was 12,841, while token numbers was shown 350,643. The results of analysis are follows. Firstly, total number of 1000 vocabulary list was developed by the order of high frequency. Secondly, lexical bundle list was developed either 3 cluster and 4 cluster. Lastly, the concordance list of vocabulary ‘cabin’ was checked. Based on results of this study, these lists can be used as an important tool for those who are majoring in Airline service at college for ESP class or who is about to join safety training as they are under the training at Airlines. This study has provided a practical way of ESP class by focusing on high frequency vocabulary from data used in actual site that is Airlines.