The control and prediction of blasting vibration hazards is an essential research content in blast engineering. Based on the principles of Bayes discriminating analysis(BDA), the Bayes discriminating analysis model to predict the destructive effect on housing against blast vibration was established in this study. Ten indexes, i.e., blasting vibration amplitude, dominant frequency, dominant frequency duration, gray joints intensity, the rate of brick walls, height of housing, roof forms, the structural column of circle beam, the quality of construction, site conditions, were used as blast vibration prediction of houses discriminating factors; A BDA model was obtained through training 64 measured data of blasting vibration. The re-substitution method was introduced to verify the stability of BDA model and the ratio of mis-discrimination is 0.0938. The BDA model was used to discriminate 12 new samples and the prediction results are identical with actual situation. The results show that the BDA model has good classifying performance, high prediced accuracy and low misdiscrimination rate and can be used on a wide scale in practical blast engineering.