Antipsychotics are among the most commonly off-label prescribed medications in today’s healthcare system. With off-label prescribing behavior on the rise, it remains to be identified whether off-label frequency is influenced by certain factors in the patient-provider dynamic. The present study conducted logistic regression analysis to find associations between off-label prescription behavior and a multitude of patient-related (i.e., demographics, English speaking level, etc.) and drug-related (i.e., prescription cost, drug strength). The general logistic regression model was supplemented by a number of subsample analyses. It is determined that elderly (age 65+) patients, black patients, female patients, patients of AAPI/Native American descent, patients covered solely under public health insurance, patients who are prescribed a non-atypical/2nd generation antipsychotic, and patients receive a prescription for an antipsychotic exceeding $15 see greater frequencies of off-label antipsychotic prescriptions. Having strong English speaking skills is associated with lower rates of off-label antipsychotic prescribing behavior.