Abstract: The characteristics of elements in rice from different areas were analyzed to explore the effect of three processing precisions of rice origin traceability, and to screen out the effective index in different processing precisions of rice origin discrimination.Total 66 kinds of rice samples from Hubei province, Jiangsu province, Liaoning province were regarded as the object of study.The contents of 26 chemical elements in different processing precisions ( whole grain, brown rice, polished rice) of Be, B, Na, Mg, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, As, Se, Rb, Sr, Mo, Cd, Sn, Sb, Ba, Pb were detected by ICPMS.Then SPSS was used to analyze the data by analysis of variance ( ANOVA) , principal component analysis ( PCA) , cluster analysis ( CA) and discriminant analysis ( DA) . The results showed that the element contents were different in the same processing precision from different provinces. PCA and CA classified the samples of rice into different categories, which was consistent to the geographical origin. In the cluster analysis, the clustering effect of whole grain samples and polished rice samples was significantly better than brown rice samples. Furthermore, seven elements of Sn, Mg, B, Cr, Sr, Ca, Ga were screened by DA and suggested as better tracers for whole grain samples origin assessment, a percentage of 100% of correct classification was achieved by whole and cross-validated.Similarly, seven elements of Ti, Ni, Ga, Sb, Cu, Na, Rb were screened by DA and suggested as better tracers for polished rice samples origin assessment, 100% correct classification for all samples from three different regions, a percentage of 96.7% of correct classification was achieved by cross-validated.