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The main objective of this article is to understand trends in the incidence of renal cancer and to construct a nomogram to predict the prognosis of patients with renal cancer by analyzing clinical parameters. We extracted data from the Surveillance, Epidemiology and End Results (SEER) database for patients with renal cancer from 2010 to 2015. The incidence rate was calculated to understand the trend of renal cancer in recent years, and the Kaplan–Meier method was used to analyze the relationship between patients' clinical variables and overall survival. Nomogram and calibration curves were constructed based on factors predicted by multivariate Cox regression. Data from 68,496 eligible renal cancer patients were included in the study. The incidence of renal cancer was higher in men than women and tended to stabilize over time. We further found that age, gender, marital status, AJCC stage, histological type, metastatic disease, and surgery were independent parameters for prognosis in renal cancer patients. Finally, a nomogram was constructed based on the above parameters, and its validity was verified with the agreement index and calibration curve. Renal cancer incidence trend gradually stabilized. Seven independent parameters for renal cancer patients were obtained by analysis and utilized to construct a nomogram that could provide guidance for clinical practice. [ABSTRACT FROM AUTHOR]