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Study: Despite Training, Vermont Police Departments Still Show Widespread Racial Bias
In the wake of the George Floyd killing and other incidents of racially motivated police violence, communities across the country are examining the practices of their local police departments more closely. Some are undertaking comprehensive training and education programs to address racial bias on their forces.
New research conducted in Vermont shows that, while antibias police trainings resulted in small improvements in some police departments in the state, they did not by and large alter police behavior.
The research, conducted by University of Vermont Economics professor Stephanie Seguino, Cornell University visiting associate professor Nancy Brooks, and Pat Autilio, a data analyst, examined data from eight Vermont police departments and builds on a 2017 statewide study of police traffic stops in Vermont.
In the earlier study, using 2015 data, researchers found that Black drivers were four times more likely and Hispanic drivers three times more likely to be searched by police than white drivers. Despite the higher search rate, Black and Hispanic drivers were less likely to be found with contraband compared with white drivers. Arrest rates of Black drivers were also disproportionately higher.
The new studies examine police stops by agencies in seven Vermont towns and cities and by the Vermont State Police, using four additional years of data, including 2019.
The studies found that racial disparities in traffic stop outcomes have persisted, with Black drivers still much more likely to be stopped and searched than white drivers and less likely, in all but one town, to be found with contraband during a search.
In addition, stop rates for all drivers were found to vary widely across agencies, which affects the magnitude of the disparate impact on Black drivers.
See the table below for agency-by-agency data. In some cases, disparities have widened since the 2017 study was published.
The fact that such little progress has been made can be disheartening but speaks to the depth of the challenge. “Racial bias in the United States is systemic, and negative stereotypes about people of color are deeply rooted,” Seguino says. “Without sustained attention and commitment, the problem is very difficult to eradicate.”
The research studies did show evidence of modest progress in some police departments.
The Vermont State Police has been a leader in investing in training and the use of data; after the earlier study, the agency dramatically improved the quality of its data collection to detect racial disparities. While the 2019 data for the state police showed a widening of some disparities, that followed several years of gradual declines in disparate outcomes. South Burlington has also seen declines in arrest and search rate disparities.
While the earlier study prompted some agencies to engage in antibias training and other measures to address racial disparities in policing, other agencies across the state have been slow to act on the racial disparities found in the data.
A key factor in reducing unequal treatment is leadership’s commitment to eliminating unjustified disparities and addressing officers’ racial bias,” Seguino says. “Colonel Birmingham of the Vermont State Police and Chief Burke of South Burlington Police Department have articulated that commitment. The Vermont State Police has gone a step further by using traffic stop data as a way to hold a mirror up to itself, sharing results with its troopers, and linking performance evaluations of its commanders to their effectiveness in promoting bias-free policing.
The data suggest that such efforts show promise but may require more time to bear fruit in closing racial gaps. “Recent attention to the problem of anti-Black bias in policing,” Autilio says, “has the potential to hasten change.”
The fact that the traffic stop disparities are widespread in Vermont, a state known for its progressive attitudes and policies, is telling, Brooks says. “It makes clear that racial bias and negative racial stereotypes permeate our country, regardless of where you are,” she says. “No state is immune.”
All agency studies are available at www.uvm.edu/cas/economics/profiles/stephanie-seguino.
Overall Stop Rates and Black vs. White Differences in Traffic Policing
(Equal treatment would yield a score of 1)
|
Overall Stop Rates Per 1,000 Residents, 2019 |
Black/white Stop Rates Per 1,000 Residents, 2019 |
Black/white Search Rates |
Black/white Contraband “Hits” as % of Searches |
|
|
|
Bennington |
706 |
3.4 |
3.9 |
1.06 |
|
Brattleboro |
617 |
2.1 |
9.3 |
0.76 |
|
Burlington |
53 |
2.0 |
3.8 |
0.90 |
|
Colchester |
205 |
5.3 |
2.4 |
0.82 |
|
Rutland |
133 |
2.2 |
4.6 |
0.68 |
|
S. Burlington |
126 |
3.0 |
4.4 |
0.81 |
|
VSP |
107 |
1.7 |
3.8 |
0.89 |
|
Williston |
549 |
4.2 |
2.1 |
0.73 |
|
Note: Stop rates are for 2019 only. The remaining ratios are based on all years of available data.
Source: University of Vermont
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