Check Your Department

The Illinois Department of Transportation publishes an annual Illinois Traffic and Pedestrian Stop Study. This study provides valuable information about local police departments and may help to determine whether or not each department exhibits any racial bias in their traffic stop practices.

Rate Ratio vs. White

White drivers
Black drivers
Hispanic drivers

One of the major data points of this study is the "Rate Ratio vs. White". It is the stop ratio of each race category to that of whites. You will notice the white ratio is always 1. If the ratio is 2.0, for example, it means that the minority stop rate is twice the white rate.

Minority Stop Ratio

Minority drivers

One of the main numbers IDOT reports for these years is the "ratio": the minority share of stops divided by the minority share of the driving population. A ratio of 1.00 would mean minority drivers were stopped in proportion to their share of the drivers; a higher ratio means they were stopped more often than that share, and a lower one means less often.

Actual Population

IDOT's benchmark population for this department is people. If this community were represented by dots, it would look like this:

Figure 1.
Race Total Percent
White
Black
Hispanic
Note: other categories of reported races have been omitted because the data reported for those categories was statistically insignificant. Any dots they would take up are drawn blue, like White.

Stop Population

Here is what our dots would look like if they matched the racial makeup of the actual stop results for this municipality:

Figure 2.
Race Total Percent
White
Black
Hispanic
Note: other categories of reported races are not listed separately; their dots are drawn blue, like White.

Assuming No Bias

stops were reported by this municipality in . In our scaled-down municipality of people, we would have stops. If those stops reflected the racial makeup of the larger municipality, they would look like this:

Figure 3.

Actual Results

The actual racial representation of stops for this municipality according to this report looked like this:

Figure 4.

Estimated Driving Population

IDOT's report doesn't count this department's population by race. Instead it estimates that of the drivers in the department's area are minority drivers (everyone who is not White). If that area were represented by dots, it would look like this:

Figure 1.

Actual Stops

In this department made traffic stops where the driver's race was recorded, and of them were minority drivers. Here are dots matching the racial makeup of those stops:

Figure 2.

How similar are Figure 1 and Figure 2? The more similar they are, the closer this department's stops came to matching its estimated driving population.

Conclusion

The degree to which racial bias exists in this municipality, according to the data of this study, is reflected in the above charts. How similar are Figure 3 and Figure 4? Figure 1 and Figure 2? The more similar they are, the less racial bias is presented by the data. The more different they are, the more racial bias is presented by the data.

How did your community do?
Afterword

This study contains much more data than presented in these graphs. I chose to select the simplest set of data which I believe is the easiest to understand and which does the best job of summarizing the outcomes of the study - namely the "Rate Ratio vs White". Please feel free to visit the study at the link above for more detailed information.