OBJECTIVES: An estimated 48,960 Americans will be diagnosed with pancreatic cancer in 2015, and 40,560 will die from the disease. Surgery is the only potentially curative treatment, but a significant portion of those eligible for pancreatic cancer resection do not receive it. Our objectives are to describe the demographics of locoregional pancreatic cancer patients in a national sample and identify factors associated with pancreatic cancer resection.  METHODS: The sample included patients from 2004-2012 Surveillance, Epidemiology and End Results (SEER) data age 15 and older with a primary diagnosis of AJCC Stage 1 or 2 cancer in the pancreas head, body, or tail. We excluded individuals with a diagnosis via death certificate/autopsy or incomplete surgical data. We used descriptive statistics, chi-square analyses to identify associations, and then multivariate logistic regression to create a final model of predictors of pancreatic cancer resection. RESULTS: The final sample consisted of 16,676 locoregional pancreatic cancer patients. 61.50% were 65 or older; 71.07% were non-Hispanic white, 51.15% were female, and 56.89% were married. 51.12 % of patients underwent resection. The most common reasons for no surgery were “surgery not recommended” (38.82%), “contraindicated/autopsy diagnosis”(4.96%) and “patient or guardian refused”(2.07%). Non-Hispanic black(OR=0.69, 95% CI [0.62-0.77]), Hispanic(OR=0.80, 95% CI 0.71-0.89]) or other race/ethnicity(OR=0.86 95%CI [0.75-.98]) predicted lower odds of resection, as did being age 65-74/75 and older(OR=0.70, 95% CI [0.65-0.76]), OR=0.28, 95% CI [0.25-0.30]), male(OR=0.91, 95% CI [0.85-0.98]) and unmarried(OR=0.71, 95% CI [0.66-0.76]), when controlling for registry, stage, and tumor location.  CONCLUSIONS: Nearly half (48.88%) of locoregional pancreatic cancer patients do not receive surgery. Non-white race/ethnicity, older age, male sex, and being unmarried are associated with not undergoing resection. Further research should explore SEER-Medicare linked data, care patterns at high versus low volume hospitals, and regional care patterns to develop interventions to increase resection rates and improve survival.