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OBJECTIVE In this study, the authors sought to determine which US medical schools have produced the most neurosurgery residents and to evaluate potential associations between recruitment and medical school characteristics. METHODS Demographic and bibliometric characteristics were collected for 1572 residents in US-based and Accreditation Council for Graduate Medical Education (ACGME)-accredited neurosurgery programs over the 2014 to 2020 match period using publicly available websites. US medical school characteristics were collected, including class size, presence of a home neurosurgery program, number of clinical neurosurgery faculty, research funding, presence of a neurosurgery interest group, and a top 10 ranking via U.S. News & World Report or Doximity. Correlations and associations were then evaluated using Pearson's correlation coefficient (PCC), independent-samples t-test, and univariable or stepwise multivariable linear regression, as appropriate. RESULTS Vanderbilt University produced the most neurosurgery residents as a percentage of medical graduates at 3.799%. Case Western Reserve University produced the greatest absolute number of neurosurgery residents (n = 40). The following factors were shown to be associated with a higher mean percentage of graduates entering neurosurgery: number of clinical neurosurgery faculty (PCC 0.509, p < 0.001), presence of a neurosurgery interest group (1.022% ± 0.737% vs 0.351% ± 0.327%, p < 0.001) or home neurosurgery program (1.169% ± 0.766% vs 0.428% ± 0.327%, p < 0.001), allopathic compared with osteopathic school (0.976% ± 0.719% vs 0.232% ± 0.272%, p < 0.001), U.S. News top 10 ranking for neurology and neurosurgery (1.923% ± 0.924% vs 0.757% ± 0.607%, p < 0.001), Doximity top 10 residency program ranking (1.715% ± 0.803% vs 0.814% ± 0.688%, p < 0.001), and amount of NIH funding (PCC 0.528, p < 0.001). CONCLUSIONS The results of this study have delineated which medical schools produced the most neurosurgery residents currently in training, and the most important independent factors predicting the percentage of graduates entering neurosurgery and the preresidency h-index.