We identified those discharged from any MA hospital during the H1N1 pandemic in the Hospital Discharge Database (HDD) with ICD-9 diagnosis codes correlating highly with positive viral specimens (1). Using five-digit zip codes as an identifier, we linked census data to the HDD population to provide a measure of SES indicator through aggregate levels of affluence. We used random-effects multivariate logistic regression models to explore the above objectives.