The isotope ratio of five kinds of heavy metal elements in tea samples from different areas was measured, and the variance, cluster and discriminant analyses were undertaken using SAS (statistical analysis system) software. The results showed that ²⁰⁶Pb/²⁰⁷Pb, ⁶⁶Zn/⁶⁷Zn, ⁶⁸Zn/⁶⁷Zn, ¹¹⁴Cd/¹¹⁰Cd, ¹¹²Cd/¹¹⁰Cd, ²⁶Mg/²⁵Mg 6 indexes existed significant differences in the three regions (99% significant level). The cluster analysis results of the six indexes showed that the clustering accuracy of samples form three regions as Guzhang (78.26%), Shimen (94.44%) and Anhua (92.10%). The discriminant analysis results showed that the discriminant accuracy of samples form three regions , they were 86.96%, 94.44% and 97.37% respectively. Moreover, these two methods of identification are consistent with each other. Therefore, the otherness of isotope ratio combined with the cluster and discriminant analyses of SAS software could be used to identify the tea producing areas.