Air pollution such as particulate matter 2.5 (PM 2.5) negatively impacts human health, but air quality data in rural communities are based on imputed estimates rather than on-the-ground readings. Across the U.S., most regulatory air quality monitors are located in metropolitan areas, leaving rural regions underrepresented in access to air quality data. This project addresses this gap by identifying rural areas in South Carolina with both high social vulnerability and high uncertainty in PM2.5 estimates, and deploying low-cost air quality sensors (PurpleAir) in those counties. From 2025-2026, we collected real-time air quality data from nine Clemson Extension and Clemson Rural Health sites. We then compared PM2.5 levels from deployed sensors to EPA AirNow estimates to assess the accuracy and potential bias of existing imputed data. We found that overall average air quality estimates were similar to on-the-ground readings, but estimates often missed hourly and daily spikes in PM 2.5. We discuss the implications of these findings for rural environmental health and future research plans.