The Stormwater Action Monitoring (SAM) project is an ongoing long-term study investigating how well stormwater management protects stream health through physical, biological, and water quality sampling. Beginning in 2020, 26 to 33 (depending on year) unique streams across a range of percent total impervious area (TIA%) within their basin are surveyed each summer. As part of the biological sampling component of this project, benthic macroinvertebrates and periphyton samples are collected from multiple locations at each site, then composited and identified for that site. These data are used to generate five biological metrics. The Benthic Index of Biological Integrity (BIBI) is an overall score assessing the impacts of human influence on macroinvertebrate communities. The Hilsenhoff Biotic Tolerance Index (HBTI) assesses macroinvertebrate sensitivity to pollution based on species diversity and abundance. The Fine Sediment Sensitivity Index (FSSI) is a metric used to determine the sensitivity of a macroinvertebrate community represented in the sample to fine sediment accumulation. The Metal Tolerance Index (MTI) measures the impact of metal pollution on macroinvertebrate communities. The final metric, the Trophic Diatom Index (TDI), is used as an indicator of nutrient pollution based on diatom assemblages. These five metrics are then used to categorize streams as good, fair, or poor relative to regional reference conditions. The patterns in these metrics were similar from 2020 to 2024; as TIA% increased, streams tended to rank in worse condition, reflecting a lower macroinvertebrate diversity and an overall higher community tolerance to pollution. TDI values also showed impacts from nutrients related to TIA% within the basin. Across years, median scores for BIBI ranged from 32 to 69, median HBTI ranged from 4.7 to 4.95, median FSSI ranged from 30 to 55, median MTI ranged from 1.76 to 2.0, and TDI ranged from 52 to 65. There were also differences over time within the different TIA% categories with the highest decreases in scores in the most urban sites. These data are crucial for evaluating stream sensitivities to human influence and will help prioritize certain streams for future restoration efforts.