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The purpose of this quantitative study was to determine if there was a correlation between simulation hours and National Council Licensure Exam (NCLEX) first-time pass rates among registered nursing programs in the state of Texas in 2023. The research question addressed was: What was the correlation between the number of simulation hours in prelicensure nursing programs and NCLEX pass rates among first-time test-takers? This study explored simulation-based training to provide insight into the importance of experiential learning and its impact on student outcomes and NCLEX success. The theoretical framework guiding this study was Experiential Learning Theory. Two instruments were utilized in this non-experimental correlational study. The first was the 2023 NCLEX pass rates, publicly available on the Texas Board of Nursing website. The second was the Nursing Education Program Information Survey distributed by the Texas Department of State Health Services, which measured simulation hours reported by each registered nursing program. The Texas Board of Nursing and the Texas Department of State Health Services conducted data collection and was obtained by the researcher. Statistical analysis was conducted using IBM SPSS Statistics software, specifically employing Pearson’s correlation and the Shapiro-Wilk test. Results from the correlation analysis indicated a weak, nonsignificant correlation between simulation hours and NCLEX first-time pass rates. Although the correlation was weak and not statistically significant, the findings may provide a foundation for further research examining the relationship between simulation-based learning and licensure outcomes in nursing education.