The increasing number of wrongful convictions in the United States has led to calls for more research on this topic. As such, researchers have used various data sources to better understand who is being exonerated, what the contributing factors are that lead to wrongful convictions, and uncovering the consequences of these cases. The present study utilized the National Registry of Exonerations database available on January 21, 2020 and analyzed a final sample of 2,394 cases to investigate the impact of various factors on time to exoneration. Multiple regression analyses showed that once all other variables were statistically controlled, age, gender, race, worst crime committed, false confession, DNA, mistaken eyewitness identification, perjury/false accusation, and official misconduct all made unique contributions to predicting time to exoneration and accounted for 29% of the variance. The unique struggles that exonerees face and policy implications for remediation of such struggles are presented. [ABSTRACT FROM AUTHOR]