Introduction: No-show appointments can weigh heavily on a urology practice's finances and productivity. Our objective was to investigate if a relationship existed between lag time and no-show appointments at the Columbia University Medical Center department of urology. Methods: We queried adult new patient appointments from July 2017 to July 2018 and excluded rescheduled or cancelled visits. We organized appointments by subspecialty training/practice of the urologist (general urology, voiding dysfunction/female urology, male sexual dysfunction/infertility, urological oncology, endourology and reconstructive urology). We performed logistic regression analysis to determine the relationship between lag time and no-show rate. We did the same for age and gender. We also organized lag time into 4 categories (less than 3 days, 3 to 7 days, 8 to 14 days, more than 14 days) and performed a goodness of fit test for no-show rates. Results: A total of 6,060 new patient appointments were scheduled from July 2017 to July 2018. The no-show rate was 14.3% (865 patients). Each daily increase in lag time resulted in a 2% rise in the odds of no-shows for the overall practice (OR 1.02). There were similar results for sexual dysfunction (OR 1.03), general urology (OR 1.02), oncology (OR 1.02) and voiding dysfunction (OR 1.01). There was a positive correlation with increasing lag time category and no-show rates for all subspecialties (R 2 >0.80) except reconstructive urology (R 2 ¼0.68). Each increase in age resulted in a 2% rise in the odds of no-shows (OR 0.98). Conclusions: Lag time for new patient visits is highly correlated with no-show rates, with a 2% rise in the odds of a no-show with each daily increase in lag time. Increasing age also demonstrated a correlation with no-show rates. Practice interventions to reduce lag time will hopefully reduce no-show rates.