A Tale of Three States, Part 5: The Effect of Truth in Sentencing in Wisconsin

Previous posts in this series have examined the latest available incarceration data from Indiana, Minnesota, and Wisconsin. This post considers historical data. I’m particularly interested in the impact of a major change in sentencing law that was adopted in Wisconsin in 1998. Under the “truth in sentencing” law, parole was abolished for crimes committed on or after December 31, 1999. What impact did this have on the size of the state’s prison population? Two hypotheses occur to me. First, if judges continued to impose the same nominal sentences that they had been imposing, one would expect the prison population to grow because offenders would be serving longer real sentences. Alternatively, judges might have reduced their nominal sentences to account for the loss of parole release options, attempting thereby to achieve the same real sentences as before TIS; such discounting would presumably lead to stability in the imprisonment rate.

The data, set forth in the table below, seem to support the latter hypothesis, with the current rate of imprisonment almost exactly matching that of 2000, the first full year after TIS took effect. Indeed, since 1999, the state’s imprisonment rate has been remarkably stable. The single largest annual change since 1999 was a 5.8% drop in 2005. This makes for quite a contrast with the volatile 1992-1999 time period, when annual increases averaged 12%.

The picture becomes even more interesting if we focus on Wisconsin’s imprisonment rate relative to that of peer states Indiana and Minnesota.

Continue ReadingA Tale of Three States, Part 5: The Effect of Truth in Sentencing in Wisconsin

A Tale of Three States, Part 4: The Racial Threat Hypothesis

In the previous post in this series, I highlighted a wide gap in the incarceration rates of Indiana and Minnesota, with Wisconsin in the middle.  The ordering of the three states from highest incarceration rate to lowest corresponds with the ordering from highest rate of violent crime to lowest.  However, for reasons I explained in the previous post, I don’t think  we ought to end our analysis with the simple assertion that high crime drives high incarceration.  For one thing, there is Minnesota: with a crime rate only a little lower than Wisconsin’s, Minnesota has an incarceration rate that is much lower.  There must be other factors at play besides just the crime rate to account for Minnesota’s incarceration rate.  For another, to focus on the crime-incarceration connection begs the question of what drives the very different crime rates of the three states.

In this post, I’ll explore another possible way of accounting for differences in the three states’ incarceration rates, the racial threat hypothesis.  The basic idea is this: a larger racial minority population causes the majority to feel more threatened by the minority and consequently to prefer to stronger social control measures.

Here are the relevant numbers from Indiana, Wisconsin, and Minnesota:

IN

  WI

  MN

Black Population (2010)

591,397

359,148

274,412

Blacks as Percentage of Total Population (2010)

9.1%

6.3%

5.2%

Imprisonment Rate (2010, per 100,000)

459.9

387.2

177.8

 

As you can see, the incarceration-rate order tracks the order based on the size of the each state’s black population.

Continue ReadingA Tale of Three States, Part 4: The Racial Threat Hypothesis

A Tale of Three States, Part 3: Harsh Hoosiers

In the first post in this series, I explored the large gap between the incarceration rates of Minnesota and Wisconsin. In the second, I discussed racial disparities in the incarcerated populations of the two states. The disparities in both states are wide, although Wisconsin’s are somewhat larger. In this entry, I add a third state, Indiana, to the statistical comparisons. As another medium-sized midwestern state, one might expect that Indiana would have criminal-justice numbers that are similar to Minnesota’s and Wisconsin’s. Indiana’s numbers, however, point to a criminal-justice sustem that is much larger and harsher than those of its northern neighbors.

As detailed in the table that appears after the jump, Indiana’s imprisonment rate (about 460 per 100,000) easily outstrips Wisconsin’s (387) and dwarfs Minnesota’s (178). Perhaps even more surprisingly, Indiana’s probation population also exceeds Minnesota’s. My Minnesota-Wisconsin comparison suggested that Wisconsin imprisons many defendants who would get probation in Minnesota, leading to a much smaller probation population in the former than the latter. But Indiana seems to incarcerate the same way that Wisconsin does, without any accompanying reduction in the probation numbers.

For that reason, Indiana’s total supervised population of 167,872 is the largest of the three states (although Minnesota, with the smallest overall population of three, still has a somewhat larger per capita supervised population, thanks to its enormous per capita probation number).

Indiana also leads the way in crime.

Continue ReadingA Tale of Three States, Part 3: Harsh Hoosiers