The first project goal will be to update our data with the 13 administrative data sets that will have been released since the pilot stage of this project. This is a non-trivial task because the Defense Logistics Agency (DLA) keeps these records poorly. There are no unique identifiers for LEAs, observations are duplicated, and cells contain obvious errors. Each data set must be cleaned and reconciled with the existing database, which involves a significant amount of unavoidable hand-coding and error checking. We anticipate that 14 this will cover the first eight months of the study period, with additional time set aside for updates after each subsequent quarterly release. The second goal will be obtain new data over the same times series to track other avenues by which law enforcement agencies obtain military equipment. As part of the initial stage of this project in 2019, we FOIAd every participating law enforcement agency in the state of Michigan for records of awards and purchases through these programs. We found LEA-records for this particular program to be spotty and unreliable. We spoke with officerssome knew they had gotten equipment through the program, but simply could not find purchase receipts or inventory lists. At the time of purchase, they were required to submit documentation to the state, but they did not retain that documentation.