Background: Children listed for heart transplantation face the highest waitlist mortality among all solid organ transplant patients (14%). Attempts at decreasing donor allograft non‐utilization (41.5%) could potentially decrease waitlist mortality for pediatric heart transplant patients. Our aim was to quantify the non‐utilization risk of pediatric donor heart allografts at the time of initial offering. Methods: Using the United Network of Organ Sharing (UNOS) database, we retrospectively analyzed 8823 deceased donors (≤18 years old) data through univariable and multivariable analysis and logistic regression models. These factors were divided into a training (n = 5882) and validation set (n = 2941). Donor clinical characteristics and laboratory values were used to predict non‐utilization of donor hearts. The multivariable analysis used factors that were significant from the univariable analysis (p‐value <.05), and the pediatric non‐utilization risk index (pDRSI) included significant factors from the multivariable analysis, producing an overall risk score for non‐utilization. With these data, we created a non‐utilization risk index to predict likelihood of donor allograft non‐utilization. Results: From the 24 potential factors that were identified from univariable analysis, 17 were significant predictors (p <.05) of pediatric heart non‐utilization in the multivariable analysis. Low left ventricular ejection fraction (odds ratio (OR)‐35.3), hepatitis C positive donor (OR‐23.3), high left ventricular ejection fraction (OR‐3.29), and hepatitis B positive donor (OR‐3.27) were the most significant risk factors. The phDSRI has a C‐statistic of 0.80 for the training set and 0.80 for the validation set. Conclusion: Using over 8000 donors, the phDSRI uses 17 significant risk factors to predict risk of pediatric heart donor allograft non‐utilization. [ABSTRACT FROM AUTHOR]