Despite efforts toward achieving gender-based equality in clinical trial enrollment, females are frequently underrepresented and gender-specific data analysis is lacking. Identifying and addressing gender bias in medical decision-making and outcome reporting may facilitate more equitable healthcare delivery. This study aimed to determine if gender differences exist in the clinical evaluation and surgical management of patients with degenerative lumbar conditions. Consecutive adult patients undergoing spinal surgery for degenerative lumbar conditions (disc herniation [DH], spinal canal stenosis [SCS], and degenerative spondylolisthesis [DS]) were prospectively enrolled across 16 tertiary academic centers. Outcome domains included pain, disability, health-related quality of life (HRQOL), expectations of surgery, and satisfaction with surgical outcome. Covariates pertaining to the preoperative use of healthcare resources, diagnostic testing, and visits to healthcare providers were compared between genders before and after propensity score matching for 13 baseline demographic and procedural variables. Data were analyzed for 5038 patients (2396 female, 2642 male) with degenerative spinal pathologies including SCS (40.2%), DS (33.2%), and DH (26.6%). Surgical treatment effect was similar for both genders. For all conditions, female patients had worse pre- and postoperative pain, disability, and HRQOL. Significant gender differences were identified for marital status, education, employment status, exercise activities, and disability claims. Female patients were more likely to use select medications, diagnostic imaging tests, and nonsurgical therapeutic interventions, and access various healthcare providers. Findings were similar following post hoc propensity score matching. In this multicenter, prospective, observational cohort study, male and female patients benefitted similarly from surgery for degenerative lumbar spine disease. However, female patients had worse preoperative clinical assessment scores and were more likely to use select healthcare resources.