By Robin Joy

Act 193 mandates that law enforcement agencies collect data on roadside stops for the purpose of evaluating racial disparities. The Act dictates agency data collection and any related conversation centers on agency behavior. The Act and the data collected do not focus on or reflect the stories told by Black, Indigenous and People of Color (BIPOC) as related to their contacts with law enforcement agencies. Because of Vermont’s rural nature, small populations, and policing strategies, we conclude that traffic stop and race data are not sufficient to inform policy makers and stakeholders. Rigorous qualitative research focused on the experiences of the BIPOC community which detects patterns and trends can distinguish structural issues within the criminal justice system. Agency data should be used as a supplement to that research. The purpose of the study was to test different methods of assessing racial disparities in traffic stops for their applicability for all Vermont law enforcement agencies. In short, we found that this was not possible. This report reviews the methodologies tested and the findings. On Measuring Disparities 1. We tested three peer reviewed methods for benchmarking the driving population: Commuting Hour populations, Resident Driver populations, and Crash Data benchmarking. All three failed in Vermont because of the state’s rural nature and small populations. The low volume of people of color makes it difficult for consistent analysis. It is not possible for one benchmarking standard to be applied to all law enforcement agencies in the state. 2. We can recommend the “Veil of Darkness” analysis as an effort to examine racial disparities. However, that analysis essentially measures one work shift in a police department. In some departments that may just be a single officer. 3. Post-stop outcome measures may be useful, however, without more information on the stop (such as the violation for which the person was ticketed/arrested and other circumstances surrounding the stop) it is of limited value. Further, because so few people are searched or arrested it is hard to draw a conclusion from the data. 4. Stop data will now include information as to how often the same person is stopped by a department. Specifically, the year, make, model, and color of the car and the town/state of residence and the state of the plate will be available. This will help illustrate the stories community members have spoken about in protests, legislative hearings, and news articles – stories of people who feel they are being continuously targeted. For example, using these additional data fields, researchers can identify a 30-year-old Asian female from Montpelier driving a 2008 White Honda CRV who has been stopped four times in one month for various reasons

Montpelier, VT: Crime Research Group, 2021, 27p. 

By The Crime Research Group

Act 193 mandates that law enforcement agencies collect data on roadside stops for the purpose of evaluating racial disparities. The Act dictates agency data collection and any related conversation centers on agency behavior. The Act and the data collected do not focus on or reflect the stories told by Black, Indigenous and People of Color (BIPOC) as related to their contacts with law enforcement agencies. Because of Vermont’s rural nature, small populations, and policing strategies, we conclude that traffic stop and race data are not sufficient to inform policy makers and stakeholders. Rigorous qualitative research focused on the experiences of the BIPOC community which detects patterns and trends can distinguish structural issues within the criminal justice system. Agency data should be used as a supplement to that research. Part 1 of this report covers the data collection process over the past five years. The purpose of Part 2, which is in a separate report, was to test different methods of assessing racial disparities in traffic stops for their applicability for all Vermont law enforcement agencies.

Montpelier VT: Crime Research Group, 2021. 12p.

By City of Chicago, Office of Inspector General

The objectives of the inquiry were to determine the completeness rates of CPD response times recorded by CPD and the Office of Emergency Management and Communications (OEMC), and to identify factors contributing to missing response time data for 911 calls for CPD service.

As a result of this inquiry, OIG found that CPD’s data collection of 911 response times is incomplete; the Department fails to record timestamps for various statuses throughout the dispatch and police response for a substantial number of 911 calls. Calls for high priority emergency events had a higher rate of recorded response times for all statuses that occur during a unit’s response (Acknowledge, Enroute, and On-scene) compared to calls for events with a lower priority classification. The timepoint in the police response process that is least often recorded is the On-scene time, or the time when the responding CPD unit arrives at the location of service; this remains true regardless of call priority level or geographic location. The On-scene status is the last time point in the sequence of events before responding members engage with an emergency event, which may contribute to the low On-scene time completeness rates. Additionally, the interface of the Computer Aided Dispatch (CAD) system, which records a timestamp when CPD members enter their response status, displays the response status buttons sequentially, and is dependent on the previous status in the process being entered.

Chicago: City of Chicago, Office of Inspector General, 2023. 30p.