Monday, April 15, 2019
'Thousands of Sandra Blands': Just Liberty analyzes new arrest data from Texas traffic stops
As the House Criminal Jurisprudence Committee today prepares to hear HB 2754 (White), the committee substitute to which would limit most Class C misdemeanor arrests (with certain public safety exceptions), Just Liberty put out a new analysis of data titled, "Thousands of Sandra Blands: Analyzing Class-C-misdemeanor arrests and use-of-force at Texas traffic stops."
The analysis relies on the new racial profiling reports which came out March 1st, analyzing information for Texas police departments in cities with more than 50,000 people, and sheriffs in counties with more than 100,000. Here's the table from Appendix One of the report with the underlying data.
Readers will recall that new detail about Class-C arrests, use of force, and outcomes of searches were added to the report as part of the Sandra Bland Act passed in 2017. But the provision to restrict Class C arrests was removed before the law was passed. So HB 2754 amounts to unfinished business for those concerned about what happened to Sandra Bland.
Our findings: The practice of arresting drivers for Class C misdemeanors - not warrants, and not more serious offenses - is more widespread than portrayed by law enforcement. The 96 police and sheriffs in our sample arrested people nearly 23,000 times for Class-C misdemeanors last year, with the Texas Department of Public Safety accounting for nearly 5,000 more.
While the average arrest rate at traffic stops is low - a mere 66.7 per 10,000 stops - that's about one arrest out of every 150 traffic stops. And some agencies arrest people much more often. Waco PD stood out the most, arresting people at 451.4 times per 10,000 stops, or at just more than 4.5 percent of all traffic stops in 2018.
The new reporting also included data on how often police use injury-causing force at traffic stops. After Austin PD corrected its misreported data, Houston PD stood out with the highest rate of injury-causing force among the jurisdictions in our sample, at 53.2 incidents per 10,000 stops. That's about one out of every 188 drivers pulled over by HPD.
These data represent fewer than 100 law enforcement agencies, but more than 2,000 agencies must submit racial profiling reports because they perform traffic stops in come capacity. Agencies in our dataset represent the largest jurisdictions, but not all by a longshot. If we assume that these departments plus DPS represent 60 percent of traffic stops in the state, and that the average arrest rate for the other 40 percent is the same as in this sample, then Texas law enforcement agencies arrested more than 45,000 people at traffic stops statewide last year, the report estimated.
These higher-than-previously-understood estimates are corroborated by Texas Appleseed's recent analysis of jail bookings. Examining data from eleven (11) counties, they found more than 30,000 jail bookings where Class C misdemeanors (not warrants) were the highest charge. The difference between analyzing jail bookings and racial-profiling data is that jail bookings include Class C arrests which happened anywhere. The racial profiling reports Just Liberty analyzed only consider arrests made during traffic stops.
Taken together, these analyses demonstrate that the overall number of Class C arrests is much higher than anyone ever imagined when this topic has been discussed in the past.
Labels:
Class C violations,
Sandra Bland
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3 comments:
Grits,
Check this out.
https://openpolicing.stanford.edu/
I'm very curious what is causing some of the extreme outliers. Why is Waco arresting so many people for traffic violations and what violation(s) trigger an arrest? San Antonia had more city ordinance arrests than all other agencies in the spreadsheet combined! Why is San Antonio arresting so many people for a city ordinance violation and what violation(s) trigger an arrest? What's different about Austin that causes them to arrest so many more people than everyone else for warrants?
Those are all exactly the sorts of questions these data SHOULD raise, 3:02. Over time, maybe we'll get some answers. This was a first-cut look at just-released data: The start of a conversation, not the final word, for sure. This is a statewide story that reporters can and should localize.
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