This study was initiated to quantitatively evaluate the effects of five heavy metals (Cd, Cu, Zn, Pb, and Ni) on growth and P removal efficiencies of Pseudomonas taeanensis, known as the phosphorus accumulating microorganism. The heavy metals were added individually and with the binary mixture to the batch culturing system of Pseudomonas taeanensis. IC50 and EC50 were used to quantitatively evaluate their effects on the growth and phosphorus removal efficiency of Pseudomonas taeanensis in those treatments. Additionally, additive index value method was used to evaluate the interactive effects of heavy metals for Pseudomonas taeanensis in this study. As those heavy metals were singly added to Pseudomonas taeanensis, the greatest inhibitory effect on its growth and P removal efficiency was observed in Cd, whereas, the smallest effect was found in Ni. As the concentrations of all heavy metals added were gradually increased, its growth and P removal efficiency was correspondingly decreased. Specifically, IC50 of Pseudomonas taeanensis for Cd, Cu, Zn, Pb, and Ni were 0.44 mg L-1, 5.12 mg L-1, 7.46 mg L-1, 8.37 mg L-1 and 14.56 mg L-1, respectively. The P removal efficiency of Pseudomonas taeanensis was 81.1%. EC50 values of Pseudomonas taeanensis for Cd, Cu, Zn, Pb, and Ni were 0.44 mg L-1, 4.08 mg L-1, 7.17 mg L-1, 8.90 mg L-1 and 11.26 mg L-1, respectively. In the binary treatments of heavy metals, the lowest IC50 and EC50 were found in the Cd + Cu treatment, whereas, the highest IC50 and EC50 were found in the Zn + Pb and Pb + Ni treatments, respectively. Most of the interactive effects for the binary mixture treatments of heavy metals were antagonistic. Based on the results obtained from this study, it appears that they could provide the basic information about the toxic effects of the respective individual and binary treatments of heavy metals on the growth and P removal efficiency of other phosphorus accumulating organisms. Removal efficiencies of P by Pseudomonas taeanensis in relation to binary heavy metals. error bar means standard error (n = 3).