For a study, the researchers aimed to develop a competing-risk-based predictive model and a nomogram for predicting the 3 and 5-year probability of cancer-specific death (CSD) in patients with spinal and pelvic chondrosarcoma. About 623 patients with spinal or pelvic chondrosarcoma were recognized from the SEER database and were divided into a training and a validation cohort. Older age (subdistribution hazards ratio [SHR]: 1.02, 95% CI: 1.01∼1.03; P=0.013), high grade (SHR: 2.68, 95% CI: 1.80∼3.99; P<0.001), regional involvement (SHR: 1.66, 95% CI:1.06∼2.58; P=0.026), distant metastasis (SHR:5.18, 95% CI:3.11∼8.62; P<0.001) and radical resection (SHR:0.38, 95% CI:0.24∼0.60; P<0.001) were significantly related with the incidence of CSD. These factors built a competing-risk-based model and a nomogram to predict CSD. The C-index, calibration plot, and decision curve analysis indicated that the nomogram performed well in predicting CSD and was suitable for clinical use. A competing-risk-based predictive model was developed to predict the probability of CSD of patients with spinal and pelvic chondrosarcoma. The nomogram performed well and was found to be suitable for clinical use.