Type 2 diabetes mellitus (T2DM) is a chronic condition caused by insulin resistance and metabolic dysfunction. T2DM is associated with many diabetes related complications, including heart disease, vision loss, and kidney disease. Long term exposure to ultrafine components of particulate matter with an aerodynamic diameter ≤ 2.5 µm (PM2.5) can cross the pulmonary alveolar membrane and direct inflammatory effects on target organs, leading to oxidative stress and increased insulin resistance. While several studies have identified a relationship between PM2.5 concentrations and onset of T2DM, few have examined the role of air pollution on glycemic outcomes after T2DM diagnosis. Continued exposure to PM2.5 may worsen glycemic control and metabolic dysfunction, contributing to poor glycemic outcomes and increased morbidity/mortality in individuals with T2DM. Thus, the objective of this research was to evaluate the relationship between temporal trends in PM2.5 concentrations and glycemic outcomes among patients with T2DM in Davis, Utah, and Salt Lake Counties in Utah. Electronic medical record data for 143,434 individuals with an eligible ICD-10 diagnosis code for T2DM from 2010-2022 were selected for analysis. PM2.5 concentrations were extracted from the Environmental Protection Agency's (EPA) Air Quality System in Davis, Utah, and Salt Lake counties. Air pollution exposure profiles were created for one year after the date of a patient's initial diagnosis. Preliminary analysis was performed using a kShape time-series clustering with 12 clusters, creating a visual representation of individual exposure for one year following diagnosis, making patterns in air pollution exposure more apparent. Analysis is ongoing and it is hopeful that the results of this study will elucidate the role of PM2.5 concentrations on glycemic outcomes in patients with T2DM and may inform public health interventions to minimize air pollution and encourage better outcomes for individuals with T2DM.