Independent prognostic factors for HPVA and NHPVA were analyzed, and nomograms of the predicted patient cancer-specific survival (CSS) were constructed and validated. Methods The clinical data of 1219 patients with HPVA and 701 NHPVA diagnosed between 2004 and 2015 in the SEER database were retrospectively analyzed on their medical records. A univariate and multivariate COX regression model was constructed to analyze the impact of clinicopathological factors on the prognosis of patients with cervical adenocarcinoma. Nomograms to evaluate the value of multiple-indicator combined predictions of disease progression. The prediction accuracy and discrimination ability of the model were evaluated using the consistency index (C-index), subject working characteristic (ROC) curves, and calibration plots. Survival analysis was performed using the Kaplan-Meier curve. Result The results of multivariate COX regression analysis in HPVA patients showed that age, grade, tumor size, TNM stage, FIGO stage, scope of surgery, and adjuvant treatment modalities were independent risk factors of CSS. The results of multivariate regression analysis in NHPVA patients showed that age, grade, tumor size, M stage, FIGO stage, scope of surgery, and lymph node dissection were independent risk factors of CSS. Lograms of individualized predicted survival for HPVA and NHPVA were constructed, and the consistency index analysis showed good discrimination. Conclusion Independent prognostic factors for HPVA and NHPVA patients were established based on the SEER database, and the nomogram had good prediction effect and applied value for rapid and accurate evaluation of patient survival prognosis