12087 Background: AML is an aggressive disease with high mortality and significant impact on quality of life. Palliative care (PC) services have become integral in managing patient’s symptoms during treatment as well as at the end of life. We hypothesize that socioeconomic factors such as achieving higher levels of education, and higher incomes, increases the odds of receiving PC. Methods: This is a retrospective analysis using NCDB data of 124,988 newly diagnosed non-M3 AML patients over 18 yrs from 2004-2016. Unadjusted and multivariate adjusted logistic regression analysis (MVA) evaluated the impact of socioeconomic variables on the receipt of PC. In the MVA, we adjusted for demographic variables and facility characteristics including facility type, facility volume, age, sex, race, Hispanic origin, income, education, urban/rural residence, Charlson-Deyo score, great circle distance, Medicaid expansion status state group, and insurance status. Patients with Medicaid expansion < 39yrs were excluded due to low patient numbers. Results: For the 124,988 patients, median age was 63 years (range 18-90) with 54% males and 86% White. 25% of patients lived in regions with the highest education level defined as < 6.3% of adults over 25 without a high school diploma. 35% of patients had a household income bracket of ≥ $63,333. A total of 3% of patients received PC. MVA showed that patients within the highest income bracket of ≥ $63,333 were less likely to have used PC services (OR 0.82, p < 0.01). More educated patients residing in regions with < 6.3% of adults without a high school diploma had higher odds of receiving PC treatment compared with patients with less education (OR 1.23, p < 0.01). Residence in states with Medicaid expansion in January 2014 or later was associated with greater utilization of PC services (Jan 2014 expansion states: OR 1.33 and late expansion states/after Jan 2014: OR 1.43, p < 0.01) compared to residence in non-expansion states. No difference was seen across races; except Hispanics with decreased use of PC services(OR 0.8, p = 0.022). Conclusions: In this large cohort, a small percentage of patients received PC. Higher education was associated with higher likelihood of using PC, while, surprisingly, higher income was associated with a lower likelihood of PC. Additionally, the higher use of PC services with Medicaid expansion suggests a broad impact of public health insurance in providing increased access to PC services.