Objective To analyze factors affecting the prognosis of patients with stage ⅢC1 cervical cancer and to develop a nomogram for exploring its value in prognosis evaluation. Methods A total of 91 patients with pathological diagnosis of stage ⅢC1 cervical cancer were included as research subjects, who underwent radical hysterectomy at the First Affiliated Hospital of Bengbu Medical University between January 2016 and December 2020. Prognostic factors were identified using Cox proportional hazards regression analysis, and a nomogram was constructed. The nomogram was evaluated using calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Results Tumor diameter ≥4cm, paracervical involvement, and lymph node ratio (LNR) ≥0.22 were the risk factors for 3-year OS of the patients with stage ⅢC1 cervical cancer. Tumor diameter ≥4cm, lymphovascular space invasion (LVSI), and LNR ≥0.22 were the risk factors for 3-year DFS of the patients with stage ⅢC1 cervical cancer. The calibration curves of nomogram demonstrated high prediction accuracy of this model, the ROC curves showed high predictive accuracy of the model, and DCA curve confirmed the clinical utility of the model. Conclusions Tumor size, LNR, paracervical involvement, and LVSI are risk factors affecting the prognosis of the patients with stage ⅢC1 cervical cancer. The constructed nomogram may help to guide doctors in stratification management and to take comprehensive treatment in order to improve patient outcomes.