In this document we provide three appendixes for the journal article “Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness”. In Appendix A we show predictors and targets that we took into account for each dataset employed in our study. In Appendix B we describe the configurations of the thresholds that we defined during the procedure of Identification of Risk Thresholds. In Appendix C, for each combination of balance-unfairness-algorithm we report the best thresholds selected by accuracy, the configuration they correspond to (among the 5 options described in Appendix B), and all the evaluation metrics related to those thresholds.