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At the International Symposium on Solitary Confinement, researchers and formerly incarcerated people made it clear that isolation causes severe and permanent damage.

by Tiana Herring, December 8, 2020

On a given day last year, an estimated 55,000 to 62,500 people had spent the previous 15 days in solitary confinement in state and federal prisons, often in cells smaller than a parking space.1 Correctional officials often defend their frequent use of solitary confinement as an effective means of maintaining order and deterring violence and gang activity. But this reliance on solitary ignores the abundance of studies demonstrating the harmful and often long-lasting effects it wreaks on the human mind and body.

At the International Symposium on Solitary Confinement, sponsored by Thomas Jefferson University in November, researchers and formerly incarcerated people made it clear that any “positive” benefits correctional institutions gain by using solitary confinement are outweighed by the severe and often permanent damages caused by prolonged isolation. Recent studies show that time spent in solitary confinement shortens lives, even after release, and speakers at the International Symposium emphasized various other ways solitary causes irreparable harm.

Solitary confinement goes by many names, including “special housing units,” “administrative segregation,” “disciplinary segregation,” and “restrictive housing,” but the conditions are generally the same: 22 to 24 hours per day spent alone in a small cell.2 The practice is widespread in jails, prisons, ICE detention centers, and juvenile facilities, and people are often sent to solitary for vague reasons or minor offenses. Black and Hispanic people, who are already overrepresented in correctional facilities, are further overrepresented in solitary confinement. Solitary isn’t just used for short periods of time, either: many people are confined without human interaction for years, and sometimes even decades.3

Prisons and jails are already inherently harmful, and placing people in solitary confinement adds an extra burden of stress that has been shown to cause permanent changes to people’s brains and personalities. In fact, the part of the brain that plays a major role in memory has been shown to physically shrink after long periods without human interaction. And since humans are naturally social beings, depriving people of the ability to socialize can cause “social pain,” which researchers define as “the feelings of hurt and distress that come from negative social experiences such as social deprivation, exclusion, rejection, or loss.” Social pain affects the brain in the same way as physical pain, and can actually cause more suffering because of humans’ ability to relive social pain months or even years later.

graph show mortality risk with solitary confinement
Premature deaths — by suicide, homicide, or opioid overdose — after release from prison are more likely for those that spent any amount of time (even one day) in solitary confinement than those who never did.

The effects of solitary confinement on mental health can be lethal. Even though people in solitary confinement comprise only 6% to 8% of the total prison population, they account for approximately half of those who die by suicide. Relatedly, observation cells in prisons, which are used for suicide watch — often with similar conditions to solitary confinement — are disproportionately filled with transfers from segregation. People often cycle between the two units without receiving adequate professional help to address their underlying mental health concerns.

Even if someone doesn’t enter solitary with a mental health condition, it’s possible for them to develop a specific psychiatric syndrome due to the effects of isolation. Dr. Stuart Grassian, who first identified the syndrome, notes that it is characterized by a progressive inability to tolerate ordinary things, such as the sound of plumbing; hallucinations and illusions; severe panic attacks; difficulties with thinking, concentration, and memory; obsessive, sometimes harmful, thoughts that won’t go away; paranoia; problems with impulse control; and delirium.

Robert King and Jack Morris, who spent a combined 62 years in solitary confinement, underscored many of the above findings at the International Symposium on Solitary Confinement. Mr. King noted that after a while, he lost his interest in communicating and experienced an emotional numbness that led to a loss of basic skills. Even since his release from prison in 2001, Mr. King says he struggles with simple things, including his sense of direction. Research indicates that many problems people develop while in solitary confinement often persist upon their return to the general population or their release to the outside world.

The irreparable damages caused by solitary confinement are unjustifiable, and have led the Union Nations to consider solitary torture when used for longer than 15 consecutive days. But this overwhelming research is often ignored in jails and prisons, where solitary confinement is frequently used as a “solution” to nearly every problem that arises, including disobedience, perceived threats, alleged gang affiliation, and even supposedly for individuals’ own protection. And as prisons continue using lockdowns in response to COVID-19, leaving many people alone or with a cellmate in tight spaces for 24 hours a day, understanding the damaging effects of solitary and changing these practices is more important than ever.

Footnotes

  1. It’s possible this number is higher, as this report relied on self-reported data from the state Departments of Corrections, and only counted people as being in solitary if they’d been there for at least 15 days.

     ↩

  2. Solitary Watch reports that cells generally measure from 6×9 to 8×10 feet.

     ↩

  3. In 2011, about 45% of people in the Pelican Bay Security Housing Unit had been in solitary for longer than a decade. A more recent study by Yale Law School’s Arthur Liman Center for Public Interest Law found that 11 percent of people in solitary had been segregated for at least three years.

     ↩


COVID infections are rising across the country. So why are we allowing jail populations to rise?

by Emily Widra, December 2, 2020

This article was updated on October 21st, 2021 with more recent jail and prison population data. That version should be used instead of this one.

Since the beginning of the COVID-19 pandemic, the strategy to slowing its spread behind bars was clear: Reduce the number of people in jails and prisons. In March, public health and medical officials were already warning that incarcerated people would be uniquely vulnerable to the spread of the disease and its most serious medical consequences, due to their close quarters and high rates of preexisting health conditions.

And yet, more than eight months after the World Health Organization declared the pandemic, prisons and jails have generally failed to reduce their populations enough to protect the health and lives of those who are incarcerated. While state prison populations have slowly declined from pre-pandemic levels, the pace of these modest reductions has slowed since the spring, even as national infection rates continue to rise. And county jails — which made promising reductions in the spring — have failed to sustain those reforms.

graph showing changes in average population of 514 local jails” style= Despite the rising national case rate of COVID-19, the number of people held in 514 county jails across the country has increased over the past four months. This graph contains aggregated data collected by NYU’s Public Safety Lab and updates a graph in our September 10th briefing. This graph includes all jails where the Lab was able to report data on March 10th and for at least 75% of the days in our research period. (The Public Safety Lab is continuing to add more jails to its data collection and data is not available for all facilities for all days.) To see county level data for all 514 jails included in this analysis, see Appendix A. This graph presents the data as 7-day rolling averages, which smooths out most of the variations caused by individual facilities not being reported on particular days. The temporary population drops/increases during the last weeks of May and August, as well as the first week of November, are the result of more facilities than usual not being included in the dataset for various reasons, rather than any known policy changes.

As a result of these failures to sufficiently decarcerate, the early warnings of health experts have come true: the COVID-19 case rate in state and federal prisons is more than four times as high as that of the general public, and the death rate is more than twice as high. The Texas prison system alone has had more COVID-19 cases than in four states and Washington, D.C. combined. And since people who work in prisons and jails regularly return to their communities, correctional facilities are dangerously poised to become incubators for the disease and contribute to rising infection rates in surrounding communities.

Initially, many local officials — including sheriffs, prosecutors, and judges — responded quickly to reduce jail populations. In a national sample of 514 county jails of varying sizes, most (88%) decreased their populations from March to July, resulting in an average population reduction across all 514 jails of 26%.1 These population reductions came as the result of various policy changes, including police issuing citations in lieu of arrests, prosecutors declining to charge people for “low-level offenses,” courts reducing cash bail amounts, and jail administrators releasing people detained pretrial or those serving short sentences for “nonviolent offenses.”

But now the data tells a different story. Since July, 77% of the jails in our sample had population increases, suggesting that the early reforms instituted to mitigate COVID-19 have largely been abandoned. For example, by mid-April, the Philadelphia city jail population reportedly dropped by more than 17% after city police suspended low-level arrests and judges released “certain nonviolent detainees” jailed for “low-level charges.” But on May 1st — as the pandemic raged on — the Philadelphia police force announced that they would resume arrests for property crimes, effectively reversing the earlier reduction efforts. Similarly, on July 10th, the sheriff of Jefferson County, Alabama, announced that the jail would limit admissions to only “violent felons that cannot make bond.”2 That effort was quickly abandoned when the jail resumed normal admission operations just one week later. The increasing jail populations across the country suggest that after the first wave of responses to COVID-19, many local officials have allowed jail admissions to return to business as usual.

On the other hand, state prison populations have continued to decline, but not quickly or significantly enough to slow the spread of COVID-19. Even in states where prison populations have dropped, there are still too many people behind bars to accommodate social distancing, effective isolation and quarantine, and increased health care requirements. For example, although California has reduced the state prison population by about 20% since January, the number of large COVID-19 outbreaks in California state prisons suggests that the population reduction needs to be much more drastic. In fact, as of November 18th, California’s state prisons were still holding more people than they were designed for, at 105% of their design capacity.

graph showing changes in prison population in 21 states Prison population data for 21 states where population data was readily available for January, May, July, August, September, October, and November, either directly from the state Departments of Correction or the Vera Institute of Justice. See our COVID-19 response tracker for more information on many of the most important policy changes that led to these small reductions in some states. For the population data for these 21 states, see Appendix B.
Sharp-eyed readers may wonder if Connecticut and Vermont are showing larger declines than most other states because those two states have “unified” prison and jail systems. However, data from both states show that the bulk of their population reduction is coming from within the “sentenced” portion of their populations. (For the Connecticut data, see the Correctional Facility Population Count Report, and for Vermont, see the daily population reports.)

Early in the pandemic, North Dakota quickly reduced its prison population by 19% between January and May 2020, a trend that continued until the beginning of October. But over the past month this trend reversed and the states’ prison population actually started to increase (by 3% from October 8 to November 19). Now, North Dakota is experiencing the state’s first major outbreaks of COVID-19 in prison. In one facility, the James River Correctional Center, more than half of the incarcerated population had active COVID-19 infections as of November 23rd.

According to a October 2020 report from the National Academies of Science, Engineering, and Medicine, the modest declines in prison populations can be largely attributed to changes in arrests, jail bookings, and court closures — not releases. Despite evidence that large-scale releases do not inherently endanger public safety, states have elected to release people from prison on a mostly case-by-case basis, which the National Academies report describes as “procedurally slow and not well suited to crisis situations.”

Thankfully, some states have recognized the inefficiency of case-by-case releases and the necessity of larger-scale releases. For example, in New Jersey,3 Governor Phil Murphy signed bill S2519 in October, which allowed for the early release of people with less than a year left on their sentences. A few weeks after the bill was signed, more than 2,000 people were released from New Jersey state prisons on November 4th.4

Prisons and jails are notoriously dangerous places during a viral outbreak, and continue to be a major source of a large number of infections in the U.S. The COVID-19 death rate in prisons is three times higher than among the general U.S. population, even when adjusted for age and sex (as the prison population is disproportionately young and male). Since the early days of the pandemic, public health professionals, corrections officials, and criminal justice reform advocates have agreed that decarceration is necessary to protect incarcerated people and the community-at-large from COVID-19. Despite this knowledge, state, federal, and local authorities have failed to reduce jail and prison populations on a major scale, which continues to put incarcerated people’s lives at risk — and by extension, the lives of everyone in greater communities where incarcerated people eventually return, and where correctional staff live and work.

 
 

Footnotes

  1. The NYU Public Safety Lab Jail Data Initiative has collected jail populations for over 1,000 facilities from January to November. This sample includes jails of varying size, as well as geographic diversity. For each of our analyses of jail and prison populations during the pandemic (including our earlier analyses in May, August, and September), we included all jails from this database that had population data available for at least 75% of the days in the period being studied, and had data going back to March 10. As time has passed, additional jails have been added to the Jail Data Initiative database, allowing us to increase the number of jails in our sample. For this November analysis, we included 514 jails. (We included all 514 jails that had at least 188 days worth of data, representing at least 75% of the days between March 10th and November 15th; had data available on March 10th; and continued to have data available after August 1st).  ↩

  2. The news story from Jefferson County does not make clear whether officials are using “violent” to refer to the crime a person is charged with, crimes of which they have already convicted, a label imposed on them by a risk assessment tool, or something else.  ↩

  3. New Jersey is not included in the above graph of state prison population changes because the New Jersey Department of Correction has not published monthly population data for 2020. However, in an October 2020 press release, Governor Phil Murphy claimed the population in state correctional facilities had “decreased by nearly 3,000 people (16%)” since March.  ↩

  4. Soon after these releases, 88 people who were released under bill S2519 were quickly arrested by U.S. Immigration and Customs Enforcement (ICE) officials. A spokesperson from ICE claimed that these 88 individuals were “violent offenders or have convictions for serious crimes such as homicide, aggravated assault, drug trafficking and child sexual exploitation.” However, these claims are brought into question when considering that the releases that took place under bill S2519 specifically excluded “people serving time for murder or sexual assault” and those serving time for sexual offenses. Although we did not include ICE facilities in our analysis, there is evidence that ICE detention facilities have a COVID-19 case rate that is up to 13 times higher than that of the general U.S. population.  ↩

 

Appendix A: County jail populations during COVID-19

This table shows the jail populations for 514 county jails where data was available where data was available for March 10th (the day the pandemic was declared) and for 75% of the days between March 10th and November 15th. (This table is a subset of the population data available for over 1,000 local jails from the NYU Public Safety Lab Jail Data Initiative.)

County State March population July population Most recent population Percent change from March to July Percent change from July to the most recent date Net percent change since March March date July date Most recent date
Autauga Ala. 171 158 193 -8% 20% 13% 3/10 7/1 11/15
Blount Ala. 125 117 159 -6% 36% 27% 3/10 7/1 11/15
Chambers Ala. 134 70 2 -48% -97% -99% 3/10 7/1 11/15
Cherokee Ala. 110 73 76 -34% 4% -31% 3/10 7/1 11/15
Clay Ala. 38 31 31 -18% 0% -18% 3/10 7/1 11/15
Cleburne Ala. 84 59 70 -30% 19% -17% 3/10 7/1 11/15
Coffee Ala. 127 77 83 -39% 8% -35% 3/10 7/1 11/15
Coosa Ala. 27 30 25 11% -17% -7% 3/10 7/1 11/15
Dale Ala. 74 65 91 -12% 40% 23% 3/10 7/1 11/15
DeKalb Ala. 167 141 168 -16% 19% 1% 3/10 7/1 11/15
Franklin Ala. 121 84 88 -31% 5% -27% 3/10 7/1 11/15
Houston Ala. 393 322 386 -18% 20% -2% 3/10 7/2 11/15
Jackson Ala. 177 180 233 2% 29% 32% 3/10 7/1 11/15
Limestone Ala. 251 198 208 -21% 5% -17% 3/10 7/1 9/3
Marion Ala. 131 133 146 2% 10% 11% 3/10 7/1 11/15
Morgan Ala. 615 549 608 -11% 11% -1% 3/10 7/1 11/15
Pickens Ala. 106 116 131 9% 13% 24% 3/10 7/1 11/15
Pike Ala. 62 37 57 -40% 54% -8% 3/10 7/1 11/15
Randolph Ala. 64 51 69 -20% 35% 8% 3/10 7/1 11/15
St. Clair Ala. 219 230 198 5% -14% -10% 3/10 7/1 11/15
Talladega Ala. 301 219 314 -27% 43% 4% 3/10 7/2 11/15
Washington Ala. 58 39 57 -33% 46% -2% 3/10 7/1 11/15
Baxter Ark. 120 83 112 -31% 35% -7% 3/10 7/1 11/15
Benton Ark. 673 374 582 -44% 56% -14% 3/10 7/2 11/15
Boone Ark. 103 73 95 -29% 30% -8% 3/10 7/1 11/15
Columbia Ark. 78 27 36 -65% 33% -54% 3/10 7/1 11/15
Crawford Ark. 215 152 266 -29% 75% 24% 3/10 7/1 11/15
Cross Ark. 69 58 49 -16% -16% -29% 3/10 7/1 11/15
Drew Ark. 63 34 44 -46% 29% -30% 3/10 7/1 11/15
Faulkner Ark. 466 222 323 -52% 45% -31% 3/10 7/1 11/15
Franklin Ark. 36 21 94 -42% 348% 161% 3/10 7/1 11/15
Hempstead Ark. 68 48 81 -29% 69% 19% 3/10 7/1 11/15
Howard Ark. 41 14 29 -66% 107% -29% 3/10 7/1 11/15
Jefferson Ark. 293 173 187 -41% 8% -36% 3/10 7/1 11/15
Johnson Ark. 63 27 67 -57% 148% 6% 3/10 7/1 11/15
Madison Ark. 9 1 1 -89% 0% -89% 3/10 7/4 11/15
Marion Ark. 42 23 69 -45% 200% 64% 3/10 7/1 11/15
Monroe Ark. 16 13 9 -19% -31% -44% 3/10 7/1 11/15
Nevada Ark. 55 37 60 -33% 62% 9% 3/10 7/1 11/15
Poinsett Ark. 80 43 90 -46% 109% 13% 3/10 7/1 11/15
Pope Ark. 193 133 172 -31% 29% -11% 3/10 7/1 11/15
Saline Ark. 233 125 200 -46% 60% -14% 3/10 7/1 11/15
St. Francis Ark. 71 36 25 -49% -31% -65% 3/10 7/1 11/15
Stone Ark. 36 34 37 -6% 9% 3% 3/10 7/1 11/15
Union Ark. 199 141 163 -29% 16% -18% 3/10 7/1 11/15
Van Buren Ark. 78 29 42 -63% 45% -46% 3/10 7/1 11/15
Washington Ark. 678 399 504 -41% 26% -26% 3/10 7/1 11/15
White Ark. 277 81 208 -71% 157% -25% 3/10 7/1 11/15
Yavapai Ariz. 537 439 485 -18% 10% -10% 3/10 7/1 11/15
Yuma Ariz. 427 357 443 -16% 24% 4% 3/10 7/1 11/15
El Dorado Calif. 383 325 324 -15% 0% -15% 3/10 7/1 11/15
Siskiyou Calif. 91 76 87 -16% 14% -4% 3/10 7/1 11/15
Stanislaus Calif. 1343 1048 1121 -22% 7% -17% 3/10 7/7 11/15
Tulare Calif. 1562 1200 1342 -23% 12% -14% 3/10 7/1 11/15
Yuba Calif. 383 207 212 -46% 2% -45% 3/10 7/1 11/15
Arapahoe Colo. 1123 681 789 -39% 16% -30% 3/10 7/1 11/15
Bent Colo. 55 26 51 -53% 96% -7% 3/10 7/1 11/15
Boulder Colo. 647 396 453 -39% 14% -30% 3/10 7/1 11/15
Douglas Colo. 339 204 272 -40% 33% -20% 3/10 7/1 11/15
Jefferson Colo. 1258 640 804 -49% 26% -36% 3/10 7/1 11/15
Pueblo Colo. 643 389 446 -40% 15% -31% 3/10 7/1 11/15
Alachua Fla. 729 664 736 -9% 11% 1% 3/10 7/1 11/14
Broward Fla. 1706 1576 1658 -8% 5% -3% 3/10 7/1 11/15
Clay Fla. 418 437 448 5% 3% 7% 3/10 7/1 11/15
DeSoto Fla. 147 162 164 10% 1% 12% 3/10 7/3 11/15
Flagler Fla. 203 184 182 -9% -1% -10% 3/10 7/1 11/15
Lake Fla. 18 7 17 -61% 143% -6% 3/10 7/1 11/15
Monroe Fla. 510 388 429 -24% 11% -16% 3/10 7/1 11/15
Nassau Fla. 236 177 224 -25% 27% -5% 3/10 7/1 11/15
Okeechobee Fla. 256 248 282 -3% 14% 10% 3/10 7/1 11/15
Sarasota Fla. 866 775 899 -11% 16% 4% 3/10 7/1 11/15
St. Lucie Fla. 1303 1219 1305 -6% 7% 0% 3/10 7/1 11/15
Walton Fla. 435 411 444 -6% 8% 2% 3/10 7/1 11/15
Bartow Ga. 671 519 610 -23% 18% -9% 3/10 7/1 11/15
Berrien Ga. 96 73 94 -24% 29% -2% 3/10 7/1 11/15
Brantley Ga. 122 124 95 2% -23% -22% 3/10 7/1 11/15
Bulloch Ga. 343 251 309 -27% 23% -10% 3/10 7/1 11/15
Burke Ga. 106 94 112 -11% 19% 6% 3/10 7/1 11/15
Camden Ga. 112 120 130 7% 8% 16% 3/10 7/1 11/15
Carroll Ga. 441 286 358 -35% 25% -19% 3/10 7/1 11/15
Catoosa Ga. 228 131 233 -43% 78% 2% 3/10 7/1 11/15
Columbia Ga. 276 175 204 -37% 17% -26% 3/10 7/1 11/15
Coweta Ga. 412 266 346 -35% 30% -16% 3/10 7/1 11/15
Decatur Ga. 116 113 152 -3% 35% 31% 3/10 7/1 11/15
Dodge Ga. 123 121 126 -2% 4% 2% 3/10 7/1 11/15
Dougherty Ga. 579 409 548 -29% 34% -5% 3/10 7/1 11/15
Douglas Ga. 681 339 564 -50% 66% -17% 3/10 7/1 11/15
Effingham Ga. 236 149 176 -37% 18% -25% 3/10 7/1 11/15
Elbert Ga. 95 54 66 -43% 22% -31% 3/10 7/1 11/15
Fayette Ga. 205 129 185 -37% 43% -10% 3/10 7/1 11/15
Floyd Ga. 639 464 547 -27% 18% -14% 3/10 7/1 11/15
Gordon Ga. 290 239 260 -18% 9% -10% 3/10 7/1 11/15
Habersham Ga. 162 110 133 -32% 21% -18% 3/10 7/1 11/15
Haralson Ga. 184 111 164 -40% 48% -11% 3/10 7/1 11/15
Jackson Ga. 143 110 160 -23% 45% 12% 3/10 7/1 11/15
Lamar Ga. 58 39 57 -33% 46% -2% 3/10 7/2 11/15
Laurens Ga. 337 271 294 -20% 8% -13% 3/10 7/1 11/15
Liberty Ga. 209 171 210 -18% 23% 0% 3/10 7/1 11/15
McDuffie Ga. 92 92 78 0% -15% -15% 3/10 7/1 10/22
Monroe Ga. 128 97 140 -24% 44% 9% 3/10 7/1 11/15
Oconee Ga. 27 17 26 -37% 53% -4% 3/10 7/1 10/13
Pickens Ga. 77 80 74 4% -8% -4% 3/10 7/1 10/12
Polk Ga. 179 155 159 -13% 3% -11% 3/10 7/1 11/15
Rabun Ga. 108 58 86 -46% 48% -20% 3/10 7/1 11/15
Richmond Ga. 1021 884 1000 -13% 13% -2% 3/10 7/1 11/15
Spalding Ga. 386 260 350 -33% 35% -9% 3/10 7/1 11/15
Sumter Ga. 157 127 157 -19% 24% 0% 3/10 7/1 11/15
Tattnall Ga. 87 36 79 -59% 119% -9% 3/10 7/1 11/15
Turner Ga. 67 65 62 -3% -5% -7% 3/10 7/1 11/15
Union Ga. 49 32 55 -35% 72% 12% 3/10 7/1 11/15
Upson Ga. 103 58 114 -44% 97% 11% 3/10 7/1 11/15
Ware Ga. 419 341 388 -19% 14% -7% 3/10 7/1 11/15
Washington Ga. 78 74 97 -5% 31% 24% 3/10 7/1 11/15
Whitfield Ga. 484 350 403 -28% 15% -17% 3/10 7/1 11/15
Worth Ga. 69 83 75 20% -10% 9% 3/10 7/1 11/15
Buena Vista Iowa 22 7 14 -68% 100% -36% 3/10 7/1 11/15
Cerro Gordo Iowa 68 36 55 -47% 53% -19% 3/10 7/1 11/15
Clinton Iowa 59 35 63 -41% 80% 7% 3/10 7/1 11/15
Dallas Iowa 27 30 44 11% 47% 63% 3/10 7/1 11/15
Dickinson Iowa 13 5 4 -62% -20% -69% 3/10 7/1 11/15
Hardin Iowa 84 75 56 -11% -25% -33% 3/10 7/1 11/15
Ida Iowa 7 1 2 -86% 100% -71% 3/10 7/1 11/15
Lyon Iowa 14 10 11 -29% 10% -21% 3/10 7/1 11/15
Plymouth Iowa 41 28 34 -32% 21% -17% 3/10 7/1 11/15
Polk Iowa 885 520 747 -41% 44% -16% 3/10 7/1 11/15
Scott Iowa 454 239 304 -47% 27% -33% 3/10 7/1 11/15
Story Iowa 70 26 60 -63% 131% -14% 3/10 7/1 11/15
Worth Iowa 8 2 3 -75% 50% -63% 3/10 7/1 11/15
Blaine Idaho 64 46 22 -28% -52% -66% 3/10 7/1 11/15
Bonner Idaho 151 128 134 -15% 5% -11% 3/10 7/1 11/15
Bonneville Idaho 392 266 250 -32% -6% -36% 3/10 7/1 11/15
Canyon Idaho 445 378 351 -15% -7% -21% 3/10 7/1 11/15
Nez Perce Idaho 128 84 82 -34% -2% -36% 3/10 7/1 11/15
Power Idaho 14 9 10 -36% 11% -29% 3/10 7/1 11/15
Washington Idaho 40 35 31 -13% -11% -23% 3/10 7/1 11/15
Douglas Ill. 24 32 17 33% -47% -29% 3/10 7/1 8/19
Kendall Ill. 156 137 151 -12% 10% -3% 3/10 7/1 11/15
Macon Ill. 300 256 283 -15% 11% -6% 3/10 7/1 11/15
Moultrie Ill. 24 28 34 17% 21% 42% 3/10 7/1 11/15
Randolph Ill. 25 22 31 -12% 41% 24% 3/10 7/1 11/15
Will Ill. 687 601 641 -13% 7% -7% 3/10 7/1 11/15
Woodford Ill. 52 54 70 4% 30% 35% 3/10 7/1 11/15
Clinton Ind. 151 119 158 -21% 33% 5% 3/10 7/1 11/15
Dearborn Ind. 233 239 284 3% 19% 22% 3/10 7/1 11/15
Hamilton Ind. 294 208 299 -29% 44% 2% 3/10 7/1 11/15
Hendricks Ind. 265 195 239 -26% 23% -10% 3/10 7/1 9/28
Jackson Ind. 249 168 202 -33% 20% -19% 3/10 7/1 11/15
Perry Ind. 66 46 72 -30% 57% 9% 3/10 7/1 10/12
Starke Ind. 119 92 96 -23% 4% -19% 3/10 7/1 10/12
Tippecanoe Ind. 508 397 472 -22% 19% -7% 3/10 7/1 11/15
Brown Kan. 12 11 28 -8% 155% 133% 3/10 7/1 11/15
Chase Kan. 132 87 83 -34% -5% -37% 3/10 8/24* 11/15
Cherokee Kan. 81 42 82 -48% 95% 1% 3/10 7/1 11/15
Coffey Kan. 28 20 26 -29% 30% -7% 3/10 7/1 11/15
Crawford Kan. 74 51 74 -31% 45% 0% 3/10 7/1 11/15
Dickinson Kan. 20 15 11 -25% -27% -45% 3/10 7/1 11/15
Doniphan Kan. 9 6 5 -33% -17% -44% 3/10 7/1 11/15
Finney Kan. 95 77 57 -19% -26% -40% 3/10 7/1 11/15
Geary Kan. 100 75 94 -25% 25% -6% 3/10 7/1 11/13
Jackson Kan. 82 53 69 -35% 30% -16% 3/10 7/1 11/15
Jefferson Kan. 28 29 18 4% -38% -36% 3/10 7/1 11/15
Pratt Kan. 22 12 13 -45% 8% -41% 3/10 7/1 11/15
Rooks Kan. 18 9 7 -50% -22% -61% 3/10 7/1 11/15
Shawnee Kan. 540 400 450 -26% 13% -17% 3/10 7/1 11/15
Sherman Kan. 18 24 26 33% 8% 44% 3/10 7/1 11/15
Sumner Kan. 142 41 101 -71% 146% -29% 3/10 7/1 11/15
Thomas Kan. 14 10 12 -29% 20% -14% 3/10 7/1 11/15
Trego Kan. 11 6 9 -45% 50% -18% 3/10 7/1 11/15
Wabaunsee Kan. 9 6 8 -33% 33% -11% 3/10 7/1 11/15
Woodson Kan. 9 8 12 -11% 50% 33% 3/10 7/1 11/15
Allen Ky. 80 40 41 -50% 3% -49% 3/10 7/1 11/15
Bell Ky. 117 93 132 -21% 42% 13% 3/10 7/1 9/28
Boone Ky. 453 372 492 -18% 32% 9% 3/10 7/1 11/15
Breckinridge Ky. 211 132 181 -37% 37% -14% 3/10 7/1 9/28
Campbell Ky. 588 474 477 -19% 1% -19% 3/10 7/1 9/28
Carter Ky. 210 129 180 -39% 40% -14% 3/10 7/1 10/12
Christian Ky. 768 522 613 -32% 17% -20% 3/10 7/1 11/15
Clark Ky. 303 141 154 -53% 9% -49% 3/10 7/1 10/12
Daviess Ky. 717 496 606 -31% 22% -15% 3/10 7/1 9/28
Franklin Ky. 287 199 189 -31% -5% -34% 3/10 7/1 10/12
Graves Ky. 182 143 150 -21% 5% -18% 3/10 7/1 11/15
Harlan Ky. 220 168 180 -24% 7% -18% 3/10 7/1 10/12
Hart Ky. 190 135 155 -29% 15% -18% 3/10 7/1 10/12
Jackson Ky. 128 81 78 -37% -4% -39% 3/10 7/1 10/12
Jessamine Ky. 142 84 80 -41% -5% -44% 3/10 7/1 10/12
Larue Ky. 143 87 129 -39% 48% -10% 3/10 7/1 10/12
Letcher Ky. 108 87 95 -19% 9% -12% 3/10 7/1 11/15
Lewis Ky. 69 49 47 -29% -4% -32% 3/10 7/1 10/12
Mason Ky. 184 103 128 -44% 24% -30% 3/10 7/1 10/12
Nelson Ky. 116 97 49 -16% -49% -58% 3/10 7/1 10/12
Pike Ky. 443 320 342 -28% 7% -23% 3/10 7/1 9/28
Pulaski Ky. 351 227 285 -35% 26% -19% 3/10 7/1 9/28
Rockcastle Ky. 102 59 63 -42% 7% -38% 3/10 7/1 10/12
Rowan Ky. 321 231 266 -28% 15% -17% 3/10 7/1 10/13
Russell Ky. 116 99 91 -15% -8% -22% 3/10 7/1 9/28
Taylor Ky. 239 145 172 -39% 19% -28% 3/10 7/1 9/28
Todd Ky. 135 84 88 -38% 5% -35% 3/10 7/1 11/15
Union Ky. 72 45 18 -38% -60% -75% 3/10 7/1 8/14
Wayne Ky. 193 125 124 -35% -1% -36% 3/10 7/1 10/12
Allen La. 102 64 58 -37% -9% -43% 3/10 7/1 11/15
Assumption La. 101 89 102 -12% 15% 1% 3/10 7/1 11/15
Avoyelles La. 424 328 320 -23% -2% -25% 3/10 7/1 11/15
Beauregard La. 161 137 174 -15% 27% 8% 3/10 7/1 11/15
Bienville La. 41 27 26 -34% -4% -37% 3/10 7/1 11/15
Bogalusa City La. 18 10 13 -44% 30% -28% 3/10 7/1 11/15
Caldwell La. 610 504 588 -17% 17% -4% 3/10 7/1 11/15
Cameron La. 27 19 12 -30% -37% -56% 3/10 7/1 11/15
Catahoula La. 72 49 52 -32% 6% -28% 3/10 7/1 11/15
Claiborne La. 575 463 437 -19% -6% -24% 3/10 7/1 11/15
EaSt. Feliciana La. 244 216 239 -11% 11% -2% 3/10 7/1 11/15
Evangeline La. 74 57 66 -23% 16% -11% 3/10 7/1 11/15
Franklin La. 815 688 804 -16% 17% -1% 3/10 7/1 11/15
Hammond City La. 14 11 7 -21% -36% -50% 3/10 7/1 11/15
Iberia La. 403 325 360 -19% 11% -11% 3/10 7/1 11/15
Iberville La. 106 111 105 5% -5% -1% 3/10 7/1 11/15
Jackson La. 131 115 138 -12% 20% 5% 3/10 7/1 11/15
Jefferson Davis La. 159 72 123 -55% 71% -23% 3/10 7/1 11/15
Lafayette La. 990 528 549 -47% 4% -45% 3/10 7/1 11/15
Lafourche La. 458 313 322 -32% 3% -30% 3/10 7/1 11/15
LaSalle La. 73 58 82 -21% 41% 12% 3/10 7/1 11/15
Lincoln La. 246 233 232 -5% 0% -6% 3/10 7/1 9/13
Madison La. 35 38 66 9% 74% 89% 3/10 7/1 11/15
Morehouse La. 464 505 475 9% -6% 2% 3/10 7/1 11/15
Oakdale La. 1 1 1 0% 0% 0% 3/10 7/1 11/15
Ouachita La. 1134 991 1089 -13% 10% -4% 3/10 7/1 11/15
Pointe Coupee La. 98 72 67 -27% -7% -32% 3/10 7/1 11/15
Red River La. 64 54 48 -16% -11% -25% 3/10 7/1 11/15
Richland La. 751 583 676 -22% 16% -10% 3/10 7/1 11/15
Sabine La. 203 163 157 -20% -4% -23% 3/10 7/1 11/15
Shreveport La. 63 12 28 -81% 133% -56% 3/10 7/1 11/15
St. Charles La. 458 416 433 -9% 4% -5% 3/10 7/1 11/15
St. James La. 68 40 49 -41% 23% -28% 3/10 7/1 11/15
St. John La. 146 125 95 -14% -24% -35% 3/10 7/1 11/15
St. Mary La. 223 169 170 -24% 1% -24% 3/10 7/1 11/15
Sulphur La. 11 16 12 45% -25% 9% 3/10 7/1 11/15
Tangipahoa La. 572 449 523 -22% 16% -9% 3/10 7/1 11/15
Tensas La. 18 18 23 0% 28% 28% 3/10 7/1 11/15
Terrebonne La. 645 490 573 -24% 17% -11% 3/10 7/1 11/15
Vermilion La. 146 129 153 -12% 19% 5% 3/10 7/1 11/15
Vernon La. 131 100 135 -24% 35% 3% 3/10 7/1 11/15
Ville Platte La. 16 7 13 -56% 86% -19% 3/10 7/1 11/15
Washington La. 163 139 190 -15% 37% 17% 3/10 7/1 11/15
Webster La. 627 546 635 -13% 16% 1% 3/10 7/1 11/15
WeSt. Baton Rouge La. 320 249 249 -22% 0% -22% 3/10 7/1 11/15
WeSt. Feliciana La. 25 14 129 -44% 821% 416% 3/10 7/1 11/15
Winnfield La. 24 22 29 -8% 32% 21% 3/10 7/1 11/15
Worcester Mass. 766 487 556 -36% 14% -27% 3/10 7/1 11/14
Allegany Md. 189 138 151 -27% 9% -20% 3/10 7/1 11/15
Garrett Md. 9 7 10 -22% 43% 11% 3/10 7/1 8/18
Prince Georges Md. 884 726 944 -18% 30% 7% 3/10 7/1 11/15
Cumberland Maine 349 283 329 -19% 16% -6% 3/10 7/1 11/15
Delta Mich. 125 105 111 -16% 6% -11% 3/10 7/1 11/15
Midland Mich. 101 53 68 -48% 28% -33% 3/10 7/1 10/12
Wayne Mich. 2086 2129 2802 2% 32% 34% 3/10 7/1 11/15
Beltrami Minn. 113 86 88 -24% 2% -22% 3/10 7/1 11/15
Blue Earth Minn. 114 65 76 -43% 17% -33% 3/10 7/1 11/15
Brown Minn. 18 16 18 -11% 13% 0% 3/10 7/1 10/12
Carlton Minn. 33 15 27 -55% 80% -18% 3/10 7/1 11/15
Chisago Minn. 61 23 39 -62% 70% -36% 3/10 7/1 11/15
Clay Minn. 117 61 89 -48% 46% -24% 3/10 7/1 11/15
Clearwater Minn. 17 11 8 -35% -27% -53% 3/10 7/1 11/15
Crow Wing Minn. 155 98 95 -37% -3% -39% 3/10 7/1 11/15
Fillmore Minn. 7 9 8 29% -11% 14% 3/10 7/1 11/15
Hubbard Minn. 63 30 50 -52% 67% -21% 3/10 7/1 11/15
Isanti Minn. 57 28 43 -51% 54% -25% 3/10 7/1 11/15
Kanabec Minn. 45 18 14 -60% -22% -69% 3/10 7/1 11/15
Kandiyohi Minn. 91 66 62 -27% -6% -32% 3/10 7/1 11/15
Lac Qui Parle Minn. 4 4 3 0% -25% -25% 3/10 7/1 11/15
Le Sueur Minn. 23 9 11 -61% 22% -52% 3/10 7/1 11/15
McLeod Minn. 36 18 25 -50% 39% -31% 3/10 7/1 11/15
Mille Lacs Minn. 79 44 40 -44% -9% -49% 3/10 7/1 11/15
Morrison Minn. 31 18 22 -42% 22% -29% 3/10 7/1 11/15
Mower Minn. 79 46 51 -42% 11% -35% 3/10 7/1 11/13
Nicollet Minn. 26 12 12 -54% 0% -54% 3/10 7/1 11/15
Pennington Minn. 34 29 39 -15% 34% 15% 3/10 7/1 11/15
Pipestone Minn. 14 8 8 -43% 0% -43% 3/10 8/18* 11/15
Redwood Minn. 12 14 7 17% -50% -42% 3/10 7/1 11/15
Renville Minn. 39 14 21 -64% 50% -46% 3/10 7/1 11/15
Roseau Minn. 21 11 8 -48% -27% -62% 3/10 7/1 11/15
Scott Minn. 140 58 89 -59% 53% -36% 3/10 7/1 11/15
Sherburne Minn. 307 261 250 -15% -4% -19% 3/10 7/1 11/15
Sibley Minn. 9 1 8 -89% 700% -11% 3/10 7/1 11/15
Swift Minn. 4 3 3 -25% 0% -25% 3/10 7/1 11/15
Todd Minn. 21 7 27 -67% 286% 29% 3/10 7/1 11/15
Wilkin Minn. 9 3 6 -67% 100% -33% 3/10 7/1 11/15
Winona Minn. 30 17 28 -43% 65% -7% 3/10 7/1 11/15
Wright Minn. 182 98 98 -46% 0% -46% 3/10 7/1 11/2
Yellow Medicine Minn. 15 8 16 -47% 100% 7% 3/10 7/1 11/15
Barry Mo. 45 46 57 2% 24% 27% 3/10 7/1 11/15
Bates Mo. 31 22 8 -29% -64% -74% 3/10 7/1 10/12
Benton Mo. 35 18 36 -49% 100% 3% 3/10 7/1 11/15
Bollinger Mo. 19 13 17 -32% 31% -11% 3/10 7/1 10/12
Boone Mo. 252 198 237 -21% 20% -6% 3/10 7/1 11/15
Buchanan Mo. 217 149 207 -31% 39% -5% 3/10 7/1 11/15
Cape Girardeau Mo. 148 160 219 8% 37% 48% 3/10 8/18* 11/15
Christian Mo. 101 66 81 -35% 23% -20% 3/10 7/1 10/12
Clay Mo. 300 213 221 -29% 4% -26% 3/10 7/1 11/15
Jackson Mo. 839 688 800 -18% 16% -5% 3/10 7/1 11/15
Jasper Mo. 200 168 165 -16% -2% -18% 3/10 7/3 11/15
Johnson Mo. 202 75 129 -63% 72% -36% 3/10 7/1 11/15
Joplin Mo. 56 36 31 -36% -14% -45% 3/10 7/1 11/15
Lawrence Mo. 77 71 73 -8% 3% -5% 3/10 7/1 11/15
Lewis Mo. 8 7 12 -13% 71% 50% 3/10 7/1 11/15
Marion Mo. 79 57 70 -28% 23% -11% 3/10 7/1 11/15
McDonald Mo. 34 41 29 21% -29% -15% 3/10 7/1 10/12
Morgan Mo. 79 59 115 -25% 95% 46% 3/10 7/1 11/15
Nodaway Mo. 12 11 10 -8% -9% -17% 3/10 7/1 11/15
Saline Mo. 57 43 52 -25% 21% -9% 3/10 7/1 10/12
Stone Mo. 65 69 63 6% -9% -3% 3/10 7/1 11/15
Adams Miss. 76 82 73 8% -11% -4% 3/10 7/1 11/15
Clay Miss. 68 51 60 -25% 18% -12% 3/10 7/1 10/26
Hancock Miss. 203 196 205 -3% 5% 1% 3/10 7/1 10/12
Jackson Miss. 338 357 370 6% 4% 9% 3/10 7/1 11/15
Jasper Miss. 30 23 23 -23% 0% -23% 3/10 7/1 11/15
Kemper Miss. 380 371 369 -2% -1% -3% 3/10 7/1 11/15
Lamar Miss. 106 84 93 -21% 11% -12% 3/10 7/1 10/12
Lee Miss. 194 198 228 2% 15% 18% 3/10 7/1 11/15
Sunflower Miss. 49 44 41 -10% -7% -16% 3/10 7/1 11/12
Tunica Miss. 27 24 21 -11% -13% -22% 3/10 7/1 11/15
Broadwater Mont. 47 35 39 -26% 11% -17% 3/10 7/1 11/15
Chouteau Mont. 11 18 10 64% -44% -9% 3/10 7/25 9/8
Glacier Mont. 8 10 6 25% -40% -25% 3/10 7/1 10/22
Lewis and Clark Mont. 102 104 99 2% -5% -3% 3/10 7/1 11/15
Ravalli Mont. 41 38 40 -7% 5% -2% 3/10 7/1 11/15
Rosebud Mont. 11 10 12 -9% 20% 9% 3/10 7/7 11/15
Valley Mont. 40 26 24 -35% -8% -40% 3/10 7/2 11/15
Alamance N.C. 361 220 263 -39% 20% -27% 3/10 7/1 11/15
Anson N.C. 49 50 53 2% 6% 8% 3/10 7/1 11/6
Brunswick N.C. 244 163 228 -33% 40% -7% 3/10 7/1 11/15
Buncombe N.C. 504 347 400 -31% 15% -21% 3/10 7/1 10/14
Burke N.C. 133 126 149 -5% 18% 12% 3/10 7/1 11/15
Cabarrus N.C. 323 192 193 -41% 1% -40% 3/10 7/1 11/15
Carteret N.C. 165 100 149 -39% 49% -10% 3/10 7/1 11/15
Catawba N.C. 302 224 273 -26% 22% -10% 3/10 7/1 11/15
Chatham N.C. 1749 1205 1350 -31% 12% -23% 3/10 7/1 11/15
Clay N.C. 314 209 215 -33% 3% -32% 3/10 7/1 9/28
Cleveland N.C. 324 184 248 -43% 35% -23% 3/10 7/1 11/15
Davidson N.C. 340 210 246 -38% 17% -28% 3/10 7/1 11/15
Guilford N.C. 1051 772 741 -27% -4% -29% 3/10 7/1 11/15
Lee N.C. 119 96 127 -19% 32% 7% 3/10 7/1 11/15
Lincoln N.C. 148 63 123 -57% 95% -17% 3/10 7/1 11/15
Moore N.C. 138 100 130 -28% 30% -6% 3/10 7/1 11/15
New Hanover N.C. 444 353 465 -20% 32% 5% 3/10 7/1 11/15
Pender N.C. 88 66 84 -25% 27% -5% 3/10 7/1 11/15
Randolph N.C. 255 193 215 -24% 11% -16% 3/10 7/1 11/15
Richmond N.C. 114 75 104 -34% 39% -9% 3/10 7/1 11/15
Rowan N.C. 341 223 277 -35% 24% -19% 3/10 7/1 11/15
Sampson N.C. 253 167 211 -34% 26% -17% 3/10 7/2 11/15
Stanly N.C. 156 98 129 -37% 32% -17% 3/10 7/1 11/12
Transylvania N.C. 77 45 40 -42% -11% -48% 3/10 7/1 11/15
Wake N.C. 1246 1054 1173 -15% 11% -6% 3/10 7/1 11/15
Washington N.C. 459 305 290 -34% -5% -37% 3/10 7/1 11/15
Stutsman N.D. 47 35 41 -26% 17% -13% 3/10 7/1 11/15
Williams N.D. 90 102 96 13% -6% 7% 3/10 7/1 11/15
Hall Neb. 275 198 257 -28% 30% -7% 3/10 7/1 11/15
Lancaster Neb. 625 451 587 -28% 30% -6% 3/10 7/1 11/15
Lincoln Neb. 117 116 118 -1% 2% 1% 3/10 7/1 11/15
Bergen N.J. 618 283 312 -54% 10% -50% 3/10 7/1 11/15
Burlington N.J. 375 257 367 -31% 43% -2% 3/10 7/1 11/15
Cumberland N.J. 337 246 308 -27% 25% -9% 3/10 7/1 11/15
Hunterdon N.J. 46 28 31 -39% 11% -33% 3/10 7/1 11/15
Ocean N.J. 326 242 316 -26% 31% -3% 3/10 7/1 11/15
Salem N.J. 302 267 326 -12% 22% 8% 3/10 7/1 11/15
Sussex N.J. 75 41 57 -45% 39% -24% 3/10 7/1 11/15
Bernalillo N.M. 1680 1315 1267 -22% -4% -25% 3/10 7/1 11/15
Curry N.M. 183 160 168 -13% 5% -8% 3/10 7/1 11/15
Hobbs N.M. 11 7 13 -36% 86% 18% 3/10 7/1 11/15
Lea N.M. 234 138 155 -41% 12% -34% 3/10 7/1 11/15
San Juan N.M. 508 312 468 -39% 50% -8% 3/10 7/1 11/15
Monroe N.Y. 766 587 708 -23% 21% -8% 3/10 7/1 11/15
Adams Ohio 42 35 45 -17% 29% 7% 3/10 7/1 10/12
Clinton Ohio 80 52 56 -35% 8% -30% 3/10 7/1 11/15
Delaware Ohio 233 160 162 -31% 1% -30% 3/10 7/1 11/15
Erie Ohio 129 73 86 -43% 18% -33% 3/10 7/1 11/15
Franklin Ohio 2002 1503 1758 -25% 17% -12% 3/10 7/1 11/15
Guernsey Ohio 105 83 87 -21% 5% -17% 3/10 7/1 11/15
Hamilton Ohio 1499 1114 1409 -26% 26% -6% 3/10 7/1 11/15
Knox Ohio 96 75 75 -22% 0% -22% 3/10 7/1 9/2
Morrow Ohio 104 53 60 -49% 13% -42% 3/10 7/1 11/15
Ottawa Ohio 92 59 58 -36% -2% -37% 3/10 7/1 10/12
Pickaway Ohio 119 110 90 -8% -18% -24% 3/10 7/1 11/15
Wood Ohio 169 96 143 -43% 49% -15% 3/10 7/1 11/15
Choctaw Okla. 29 22 30 -24% 36% 3% 3/10 7/1 8/20
Comanche Okla. 357 278 274 -22% -1% -23% 3/10 7/1 11/15
Creek Okla. 225 149 204 -34% 37% -9% 3/10 7/1 11/15
Garvin Okla. 67 59 75 -12% 27% 12% 3/10 7/1 11/15
Mayes Okla. 77 93 109 21% 17% 42% 3/10 7/1 11/15
McClain Okla. 96 59 78 -39% 32% -19% 3/10 7/1 11/15
Okmulgee Okla. 174 192 180 10% -6% 3% 3/10 7/1 11/15
Pawnee Okla. 53 28 22 -47% -21% -58% 3/10 7/1 8/20
Pottawatomie Okla. 203 184 202 -9% 10% 0% 3/10 7/1 11/15
Wagoner Okla. 89 97 108 9% 11% 21% 3/10 7/1 11/15
Baker Ore. 32 14 16 -56% 14% -50% 3/10 7/1 11/15
Clackamas Ore. 427 198 220 -54% 11% -48% 3/10 7/1 11/15
Clatsop Ore. 56 38 50 -32% 32% -11% 3/10 7/1 11/15
Coos Ore. 81 38 38 -53% 0% -53% 3/10 7/1 11/15
Douglas Ore. 200 123 107 -39% -13% -47% 3/10 7/1 11/15
Harney Ore. 8 2 6 -75% 200% -25% 3/10 7/1 11/15
Jackson Ore. 321 251 270 -22% 8% -16% 3/10 7/1 11/15
Jefferson Ore. 60 46 76 -23% 65% 27% 3/10 7/1 11/15
Josephine Ore. 185 145 80 -22% -45% -57% 3/10 7/1 11/15
Klamath Ore. 136 73 100 -46% 37% -26% 3/10 7/1 11/15
Lincoln Ore. 161 73 99 -55% 36% -39% 3/10 7/1 11/15
Marion Ore. 420 274 282 -35% 3% -33% 3/10 7/1 11/15
Marion Work Center Ore. 90 33 49 -63% 48% -46% 3/10 7/1 11/15
Multnomah Ore. 1118 638 764 -43% 20% -32% 3/10 7/1 11/15
Polk Ore. 109 60 82 -45% 37% -25% 3/10 7/1 11/15
Tillamook Ore. 64 39 30 -39% -23% -53% 3/10 7/1 11/15
Wasco Ore. 132 60 77 -55% 28% -42% 3/10 7/1 11/9
Washington Ore. 874 516 566 -41% 10% -35% 3/10 7/1 11/15
Yamhill Ore. 166 54 96 -67% 78% -42% 3/10 7/1 11/15
Cumberland Pa. 409 221 243 -46% 10% -41% 3/10 7/1 11/15
Dauphin Pa. 1110 864 993 -22% 15% -11% 3/10 7/1 10/23
Lancaster Pa. 786 669 682 -15% 2% -13% 3/10 7/1 11/15
Anderson City S.C. 95 80 82 -16% 3% -14% 3/10 7/1 11/15
Berkeley S.C. 438 292 356 -33% 22% -19% 3/10 7/1 11/15
Cherokee S.C. 357 259 333 -27% 29% -7% 3/10 7/1 11/15
Darlington S.C. 161 129 169 -20% 31% 5% 3/10 7/4 11/15
Kershaw S.C. 80 86 101 8% 17% 26% 3/10 7/1 11/15
Laurens S.C. 226 161 243 -29% 51% 8% 3/10 7/1 11/15
Lexington S.C. 498 316 413 -37% 31% -17% 3/10 7/1 11/15
Marion S.C. 66 58 63 -12% 9% -5% 3/10 7/1 11/15
Pickens S.C. 302 224 188 -26% -16% -38% 3/10 7/1 11/15
Sumter S.C. 309 266 272 -14% 2% -12% 3/10 7/1 11/15
York Prison S.C. 61 7 27 -89% 286% -56% 3/10 7/1 11/15
Clay S.D. 12 12 10 0% -17% -17% 3/10 7/1 11/15
Blount Tenn. 534 458 488 -14% 7% -9% 3/10 7/1 11/15
Giles Tenn. 163 128 113 -21% -12% -31% 3/10 7/1 10/12
Macon Tenn. 300 256 283 -15% 11% -6% 3/10 7/1 11/15
Polk Tenn. 181 154 172 -15% 12% -5% 3/10 7/1 11/15
Roane Tenn. 206 206 155 0% -25% -25% 3/10 7/1 11/15
Sevier Tenn. 390 390 404 0% 4% 4% 3/10 7/1 11/15
Shelby Tenn. 1807 1412 1311 -22% -7% -27% 3/10 7/1 11/15
Wayne Tenn. 151 100 138 -34% 38% -9% 3/10 7/1 11/15
Archer Texas 26 27 30 4% 11% 15% 3/10 7/1 11/14
Bell Texas 859 762 956 -11% 25% 11% 3/10 7/1 11/15
Brown Texas 161 148 171 -8% 16% 6% 3/10 7/1 11/15
Calhoun Texas 76 84 62 11% -26% -18% 3/10 7/1 11/15
Cochran Texas 12 13 10 8% -23% -17% 3/10 7/1 11/15
Coleman Texas 33 31 24 -6% -23% -27% 3/10 7/1 11/15
DeWitt Texas 81 84 74 4% -12% -9% 3/10 7/1 11/15
Edwards Texas 10 7 8 -30% 14% -20% 3/10 7/1 11/15
Ellis Texas 375 303 348 -19% 15% -7% 3/10 7/1 11/14
Erath Texas 79 68 72 -14% 6% -9% 3/10 7/1 11/15
Galveston Texas 991 839 944 -15% 13% -5% 3/10 7/1 11/15
Hopkins Texas 159 187 193 18% 3% 21% 3/10 7/1 11/15
Jim Wells Texas 61 59 41 -3% -31% -33% 3/10 7/1 11/15
Lavaca Texas 25 19 17 -24% -11% -32% 3/10 7/1 11/15
Liberty Texas 240 271 227 13% -16% -5% 3/10 7/1 11/15
Lubbock Texas 1242 1274 1238 3% -3% 0% 3/10 7/1 11/15
Milam Texas 137 138 138 1% 0% 1% 3/10 7/1 11/15
Parmer Texas 28 22 19 -21% -14% -32% 3/10 7/1 11/15
Polk Texas 184 158 198 -14% 25% 8% 3/10 7/2 11/15
Randall Texas 413 382 401 -8% 5% -3% 3/10 7/1 11/15
Robertson Texas 43 32 50 -26% 56% 16% 3/10 7/1 11/15
Rockwall Texas 220 219 240 0% 10% 9% 3/10 7/2 11/15
Shelby Texas 37 39 40 5% 3% 8% 3/10 7/1 11/15
Terry Texas 83 89 95 7% 7% 14% 3/10 7/1 11/15
Titus Texas 133 92 97 -31% 5% -27% 3/10 7/1 11/15
Tom Green Texas 392 413 440 5% 7% 12% 3/10 7/1 11/15
Wharton Texas 145 100 122 -31% 22% -16% 3/10 7/1 11/15
Cache Utah 183 108 127 -41% 18% -31% 3/10 7/1 11/15
Salt Lake Utah 2138 1166 1411 -45% 21% -34% 3/10 7/1 11/15
Sanpete Utah 13 14 15 8% 7% 15% 3/10 7/1 11/15
Tooele Utah 214 169 168 -21% -1% -21% 3/10 7/1 11/15
Blue Ridge Bedford Va. 100 78 108 -22% 38% 8% 3/10 7/1 9/28
Blue Ridge Halifax Va. 179 172 174 -4% 1% -3% 3/10 7/1 9/28
Blue Ridge Lynchburg Va. 466 383 501 -18% 31% 8% 3/10 7/1 9/28
Danville Va. 363 312 322 -14% 3% -11% 3/10 7/1 11/15
Middle Peninsula Va. 169 162 167 -4% 3% -1% 3/10 7/25 11/15
Middle River Va. 900 733 927 -19% 26% 3% 3/10 7/1 11/15
Norfolk Va. 935 667 871 -29% 31% -7% 3/10 7/1 11/15
Pamunkey Va. 376 296 395 -21% 33% 5% 3/10 7/1 9/28
Riverside Va. 1360 1144 1272 -16% 11% -6% 3/10 7/1 11/15
Roanoke Va. 173 145 167 -16% 15% -3% 3/10 7/1 11/15
Virginia Beach Va. 1509 1142 1260 -24% 10% -17% 3/10 7/6 11/15
Virginia Peninsula Va. 370 310 352 -16% 14% -5% 3/10 7/1 9/28
Western Virginia Va. 944 733 825 -22% 13% -13% 3/10 7/1 11/15
Chelan Wash. 190 143 169 -25% 18% -11% 3/10 7/1 11/15
Clallam Forks Wash. 17 10 10 -41% 0% -41% 3/10 7/1 11/15
Clark Wash. 655 402 427 -39% 6% -35% 3/10 7/1 11/15
Columbia Wash. 6 8 8 33% 0% 33% 3/10 7/1 11/15
Grays Harbor Wash. 177 122 117 -31% -4% -34% 3/10 7/1 11/15
Grays Harbor Aberdeen Wash. 20 16 9 -20% -44% -55% 3/10 7/1 11/15
Grays Harbor Hoquiam Wash. 31 19 21 -39% 11% -32% 3/10 7/1 11/15
Island Wash. 68 45 58 -34% 29% -15% 3/10 7/1 11/15
Jefferson Wash. 28 20 19 -29% -5% -32% 3/10 7/1 11/15
King Issaquah Wash. 56 23 41 -59% 78% -27% 3/10 7/1 11/15
King Kirkland Wash. 18 8 10 -56% 25% -44% 3/10 7/1 10/15
Kitsap Wash. 379 204 282 -46% 38% -26% 3/10 7/1 11/15
Lewis Wash. 191 144 182 -25% 26% -5% 3/10 7/1 11/15
Okanogan Wash. 159 86 94 -46% 9% -41% 3/10 7/1 11/15
Skagit Wash. 275 137 178 -50% 30% -35% 3/10 7/1 11/15
Skamania Wash. 24 23 28 -4% 22% 17% 3/10 7/1 11/15
Snohomish Wash. 743 369 503 -50% 36% -32% 3/10 7/1 11/15
Snohomish Lynnwood Wash. 49 10 21 -80% 110% -57% 3/10 7/1 11/15
Snohomish Marysville Wash. 35 8 13 -77% 63% -63% 3/10 7/1 11/15
Thurston Olympia Wash. 22 7 15 -68% 114% -32% 3/10 7/1 11/15
Walla Walla Wash. 83 62 75 -25% 21% -10% 3/10 7/1 11/15
Whatcom Wash. 292 200 240 -32% 20% -18% 3/10 7/1 11/15
Whitman Wash. 31 17 27 -45% 59% -13% 3/10 7/1 11/15
Yakima Wash. 871 426 516 -51% 21% -41% 3/10 7/1 11/15
Brown Wis. 699 573 609 -18% 6% -13% 3/10 7/1 11/15
Douglas Wis. 156 107 168 -31% 57% 8% 3/10 7/1 11/15
Eau Claire Wis. 273 186 175 -32% -6% -36% 3/10 7/1 11/15
Kenosha Wis. 564 427 519 -24% 22% -8% 3/10 7/1 11/15
La Crosse Wis. 151 84 82 -44% -2% -46% 3/10 7/1 11/15
Lincoln Wis. 104 69 60 -34% -13% -42% 3/10 7/1 11/15
Manitowoc Wis. 204 171 158 -16% -8% -23% 3/10 7/1 11/15
Milwaukee Wis. 1920 1493 1457 -22% -2% -24% 3/10 7/1 11/15
Ozaukee Wis. 195 161 162 -17% 1% -17% 3/10 7/1 11/15
Racine Wis. 753 562 636 -25% 13% -16% 3/10 7/1 11/15
Sawyer Wis. 114 86 75 -25% -13% -34% 3/10 7/1 11/15
Sheboygan Wis. 347 329 305 -5% -7% -12% 3/10 7/1 11/15

*Some jails did not have population data in the NYU database for July. We used the first August population available for those jails.


Appendix B: State prison populations during COVID-19

Prison populations for 21 states where monthly data was readily available for the period from January to November 2020.

State January May July August September October November Most recent Population Data Source
Prison population Date Prison population Date Prison population Date Prison population Date Prison population Date Prison population Date Prison population Date Prison population Date
Arizona 42,441 1/1 41,386 5/1 40,102 7/1 39,125 8/21 38,865 9/27 38,741 10/7 38,562 11/1 38,385 11/19 Vera’s People in Prison, 2019; ADCRR COVID-19 Dashboard
California 125,365 1/15 119,183 5/6 115,201 7/1 104,544 8/19 100,747 9/30 101,003 10/7 101,658 11/4 100,153 11/18 CDCR 2020 Weekly Total Population Reports
Connecticut 12,284 1/1 10,973 5/1 9,945 7/1 9,558 8/24 9,391 9/30 9,344 10/8 9,350 11/1 9,299 11/19 Department of Correction’s Total Population Counts Report
Georgia 53,924 1/3 51,294 5/1 49,959 7/3 48,274 8/21 46,814 9/25 47,368 10/2 46,649 10/30 45,893 11/13 GDC Friday Report
Indiana 26,562 1/1 26,418 5/1 25,385 7/1 24,203 10/1 Indiana DOC Offender Population Report
Iowa 9,282 1/1 8,899 5/1 7,555 7/8 7,441 8/24 7,410 9/17 7,402 10/8 7,415 10/31 7,433 11/19 Vera’s People in Prison, 2019; Department of Corrections’s Daily Statistics
Kansas 10,011 1/2 9,740 5/1 9,191 7/1 8,813 8/21 8,682 9/30 8,678 10/7 8,608 11/2 8,596 11/18 Department of Corrections Daily Adult Population Report
Kentucky 23,141 1/1 21,111 5/1 20,313 7/1 19,695 8/21 19,080 9/30 18,863 10/7 18,917 11/2 18,937 11/13 Vera’s People in Prison, 2019; Department of Corrections Daily Count Sheet
Maine 2,205 1/1 2,123 5/1 1,798 7/1 1,793 8/24 1,763 10/5 1,722 11/16 Vera’s People in Prison, 2019; Department of Corrections’ Population Report
Minnesota 9,381 1/1 8,466 5/4 8,330 7/1 7,599 8/24 7,519 9/28 7,512 10/1 7,543 11/2 7,449 11/16 Department of Corrections’ Adult Prison Population Summary; Department of Correction COVID-19 Updates
Mississippi 19,469 1/1 18,553 5/1 17,448 7/1 17,293 8/18 17,288 9/30 17,274 10/1 17,224 11/1 17,122 11/19 Vera’s People in Prison, 2019; Department of Correction Daily Inmate Population
Montana 2,759 1/1 2,692 5/1 2,542 7/1 2,537 8/24 2,526 9/24 2,491 10/7 2,473 11/1 2,445 11/18 Department of Corrections Daily Population Report
Nevada 12,911 1/4 12,474 5/18 12,266 7/7 11,996 8/23 11,813 9/27 11,756 10/6 11,731 10/31 Department of Correction Weekly Fact Sheets
North Carolina 34,510 1/1 32,795 5/1 31,929 6/30 31,704 8/24 30,970 9/30 30,962 10/8 30,742 10/29 30,353 11/19 Vera’s People in Prison, 2019; Department of Public Safety Statistics: Offender Population
North Dakota 1,794 1/1 1,461 5/1 1,380 7/1 1,363 8/24 1,348 10/8 1,394 11/19 Vera’s People in Prison, 2019; Department of Corrections & Rehabilitation Operational Capacity Daily Count
Oklahoma 24,749 1/6 23,663 5/4 22,425 6/29 22,033 8/24 21,835 9/21 21,747 10/5 21,689 11/2 21,714 11/16 Department of Corrections Weekly Count
Pennsylvania 45,875 1/1 43,394 4/30 41,572 6/30 40,616 8/24 40,028 9/30 39,818 10/8 39,430 11/1 39,299 11/19 Vera’s People in Prison, 2019; Department of Corrections COVID-19 Dashboard
South Carolina 18,608 1/1 18,160 5/1 16,836 7/12 16,215 8/24 15,971 9/30 15,992 10/8 15,804 10/31 15,957 11/19 Vera’s People in Prison, 2019; Inmate and Bed Counts of SCDC Institutions
Utah 6,731 1/1 6,064 5/1 5,859 6/4 5,700 8/24 Vera’s People in Prison, 2019; Department of Corrections Population Dashboard (no longer available)
Vermont 1,608 1/1 1,369 5/1 1,414 7/1 1,410 8/21 1,413 9/30 1,388 10/8 1,373 11/2 1,369 11/18 Vera’s People in Prison, 2019; Department of Corrections Past Daily Population Data
Wisconsin 23,672 1/3 22,342 5/1 21,388 7/3 21,337 8/21 21,098 9/25 21,052 10/2 20,867 10/30 20,693 11/13 Department of Corrections Weekly Population Reports


A recent study of recently incarcerated people finds that witnessing violence is a frequent and traumatizing experience in prison.

by Emily Widra, December 2, 2020

Early this year — before COVID-19 began to tear through U.S. prisons — five people were killed in Mississippi state prisons over the course of one week. A civil rights lawyer reported in February that he was receiving 30 to 60 letters each week describing pervasive “beatings, stabbings, denial of medical care, and retaliation for grievances” in Florida state prisons. That same month, people incarcerated in the Souza-Baranowski Correctional Center in Massachusetts filed a lawsuit documenting allegations of abuse at the hands of correctional officers, including being tased, punched, and attacked by guard dogs.

While these horrific stories received some media coverage, the plague of violence behind bars is often overlooked and ignored. And when it does receive public attention, a discussion of the effects on those forced to witness this violence is almost always absent. Most people in prison want to return home to their families without incident, and without adding time to their sentences by participating in further violence. But during their incarceration, many people become unwilling witnesses to horrific and traumatizing violence, as brought to light in a February publication by Professors Meghan Novisky and Robert Peralta.

In their study — one of the first studies on this subject — Novisky and Peralta interview recently incarcerated people about their experiences with violence behind bars. They find that prisons have become “exposure points” for extreme violence that undermines rehabilitation, reentry, and mental and physical health. Because this is a qualitative (rather than quantitative) study based on extensive open-ended interviews, the results are not necessarily generalizable. However, studies like this provide insight into individual experiences and point to areas in need of further study.

Participants in Novisky and Peralta’s study reported witnessing frequent, brutal acts of violence, including stabbings, attacks with scalding substances, multi-person assaults, and murder. They also described the lingering effects of witnessing these traumatic events, including hypervigilance, anxiety, depression, and avoidance. These traumatic events affect health and social function in ways that are not so different from the aftereffects faced by survivors of direct violence and war.

Violence behind bars is inescapable and traumatizing

Violence in prison is unavoidable. By design, prisons offer few safe spaces where one can sneak away — and those that exist offer only a small measure of protection. Novisky and Peralta’s findings echo previous research revealing that incarcerated people often “feel safer” in their private spaces, such as cells, or in a supervised or structured public space, such as a chapel, rather than in public spaces like showers, reception, or on their unit. However, even inside their cells, people remain vulnerable to seeing or hearing violence and being victimized themselves.

Participants in Novisky and Peralta’s study discussed graphic, horrific acts of violence they had witnessed during their incarceration: stabbings, beatings, broken bones, and attacks with makeshift weapons. Some participants were even forced into direct, involuntary participation, by being required to clean up blood after an attack or murder. “I used so much bleach in that bathroom … I just couldn’t look,” one participant recalled. “I just kept pouring the bleach in it [the blood], and pouring the bleach in it, and then I would mop it.” As the authors succinctly state, “the burdens of violence are placed not just on the direct victims, but also on witnesses of violence.”

Responses to witnessed violence behind bars can result in post-traumatic stress symptoms, like anxiety, depression, avoidance, hypersensitivity, hypervigilance, suicidality, flashbacks, and difficulty with emotional regulation. Participants described experiencing flashbacks and being hypervigilant, even after release. One participant explained: “I’m trying to change my life and my thinking. But it [the violence] always pops up. I get flashbacks about it … just how the violence is. In a split second you can be cool. And then the next thing you know, there’s people getting stabbed or a fight breaks out over nothin’.”

The effects of witnessing violence are compounded by pre-existing mental health conditions, which are more common in prisons and jails than in the general public. As one participant in the Novisky and Peralta study put it, prison is no place to recover from past traumas or to manage ongoing mental health concerns: “I don’t think it [prison] made my PTSD worse, it just made the PTSD I already had trigger the symptoms.”

graph showing percent of people in prison experiencing physical or sexual violence

Violence in prison by the numbers

Prisons are inherently violent places where incarcerated people (often with their own histories of victimization and trauma) are frequently exposed to violence with disastrous consequences. Because there is no national survey of how many people witness violence behind bars, we compiled data from various Bureau of Justice Statistics surveys and a 2010 nationally representative study to show the prevalence of violence. The table below shows the most recent data available,1 although it is likely that many of these events are underreported.

Given the vast number of violent interactions occurring behind bars, as well as the close quarters and scarce privacy in correctional facilities, it is likely that most or all incarcerated people witness some kind of violence.

Estimating the prevalence of violence in prisons and jails
Reported incidents and estimates
Indicator of violence State prisons Federal prisons County jails Source
Deaths by suicide in correctional facility 255 deaths in 2016 333 deaths in 2016 Mortality in State and Federal Prisons, 2001-2016; Mortality in Local Jails, 2000-2016
Deaths by homicide in correctional facility 95 deaths in 2016 31 deaths in 2016
“Intentionally injured” by staff or other incarcerated person since admission to prison 14.8% of incarcerated people in 2004 8.3% of incarcerated people in 2004 Survey of Inmates in State and Federal Correctional Facilities, 2004
“Staff-on-inmate assaults” 21% of incarcerated men were assaulted by staff over 6 months in 2005 Wolff & Shi, 2010
“Inmate-on-inmate assaults” 26,396 assaults in 2005 Census of State and Federal Adult Correctional Facilities, 2005
Incidents of sexual victimization of incarcerated people (perpetrated by staff and incarcerated people) 16,940 reported incidents in 2015 740 reported incidents in 2015 5,809 reported incidents in 2015 Survey of Sexual Victimization, 2015
1,473 substantiated incidents in state and federal prisons and local jails in 2015

Prison is rarely the first place that incarcerated people experience violence

Even before entering a prison or jail, incarcerated people are more likely than those on the outside to have experienced abuse and trauma. An extensive 2014 study found that 30% to 60% of men in state prisons had post-traumatic stress disorder (PTSD), compared to 3% to 6% of the general male population. According to the Bureau of Justice Statistics, 36.7% of women in state prisons experienced childhood abuse, compared to 12 to 17% of all adult women in the U.S. (although this research has not been updated since 1999). In fact, at least half of incarcerated women identify at least one traumatic event in their lives.

The effects of this earlier trauma carries over into people’s incarceration. Most people entering prison have experienced a “legacy of victimization” that puts them at higher risk for substance use, PTSD, depression, and criminal behavior. Irritability and aggressive behavior are also common responses to trauma, either acutely or as symptoms of PTSD. Rather than providing treatment or rehabilitation to disrupt the ongoing trauma that justice-involved people often face, existing research suggests our criminal justice system functions in a way that only perpetuates a cycle of violence. It is not surprising, then, that violence behind bars is common.

The relationship between past traumas and violence in prisons is further illuminated by a growing body of psychological research revealing that traumatic experiences (direct or indirect) increase the likelihood of mental illnesses. And we know that incarcerated people with a history of mental health problems are more likely to engage in physical or verbal assault against staff or other incarcerated people.2

Violence continues after release

The cycle of violence also continues after prison. An analysis of homicide victims in Baltimore, Maryland, found that the vast majority were justice system-involved, and one in four victims were on parole or probation at the time of their murder. Other research has found that formerly incarcerated Black adults are more likely than those with no history of incarceration to be beaten, mugged, raped, sexually assaulted, stalked, or to witness another person being seriously injured.

“Gladiator school” and ties to PTSD among veterans

While the effects of witnessing violence in correctional facilities have not been extensively studied, Novisky and Peralta’s findings are reminiscent of the significant body of psychological research about veterans, witnessed violence, and post-traumatic stress symptoms. And while a prison is not a war zone, the study participants themselves made these comparisons, describing prison as “going through a nuclear war,” “a jungle where only the strong survive,” “needing to go be ready to go to war constantly,” and “gladiator school.” Veterans, regardless of exposure to combat, are disproportionately at risk for post-traumatic stress disorder (PTSD) and can experience the same debilitating symptoms of PTSD that Novisky and Peralta document among recently incarcerated people.

In an article drawing attention to PTSD among our nation’s veterans, journalist Sebastian Junger describes his own experience with symptoms of PTSD after witnessing violence in Afghanistan. Importantly, he points out that only about 10 percent of our armed forces actually see combat, so the exorbitantly high rates of PTSD among returning servicemembers are not only caused by direct exposure to danger.3 The extensive psychological research on witnessed violence among veterans helps us better understand the risks of witnessing violence in other contexts; with the findings from Novisky and Peralta’s study, we can see a similar pattern of post-traumatic stress symptoms among incarcerated people who have witnessed acts of violence, even if they did not participate directly.

Witnessing violence — whether on a neighborhood block, prison unit, or a battlefield — carries serious ramifications. Exposure to this kind of stress can lead to poor health outcomes, such as cardiovascular disease, autoimmune disorders, and even certain cancers, which are compounded by inadequate correctional health care. Previous research has also shown that violent prison conditions — including direct victimization, the perception of a threatening prison environment, and hostile relationships with correctional officers — increase the likelihood of recidivism.

Moving forward

Novisky and Peralta’s study should be read as a call for more research — and concern — about prison violence. Future research should focus on the effects of witnessed violence on further marginalized populations, including women, youth, transgender people, people with disabilities, and people of color behind bars.

The researchers also recommend policy changes related to their findings. In prisons, they recommend trauma-informed training of correctional staff, assessing incarcerated people to identify those most at risk for victimization, and the expansion of correctional healthcare to include more robust mental health and trauma-informed services. They also recommend that providers in the reentry system receive training regarding the potential consequences of exposure to extreme violence behind bars, such as PTSD, distrust, and anxiety.

While it is important to address the immediate, serious needs of people dealing with the trauma of prison violence, the only way to truly minimize the harm is to limit exposure to the violent prison environment. That means, at a minimum, taking Novisky and Peralta’s final recommendation to heart: changing the “overall frequency with which incarceration is relied upon as a sanction.” We need to reduce lengthy sentences and divert more people from incarceration to more supportive interventions. It also means changing how we respond to violence, as we explore in more depth in our April 2020 report about sentences for violent offenses, Reforms without Results.

Vast research with veterans shows that trauma comes not only from direct violent victimization, but can also stem from witnessing violence. Research among non-incarcerated populations further shows that trauma and chronic stress have a number of adverse effects (link no longer available) on the human mind and body. And studies done behind bars show us that incarceration takes a toll on physical and mental health, and that accessing adequate care in prison is a challenge in and of itself. With all of these factors at play and with violence undermining what little rehabilitative effect the justice system hopes to have, we are stacking the cards against incarcerated people.

 

 

Footnotes

  1. The forthcoming release of data from the Bureau of Justice Statistics Survey of Prison Inmates, 2016 (expected before 2021), will provide updated information.  ↩

  2. Based on data from 2011 to 2012, the Bureau of Justice Statistics reports that 14.2% of people who indicate experiencing serious psychological distress in the past 30 days are written up or charged with some kind of assault while incarcerated in state prison, compared to 11.6% of people with any history of mental health problems, and 4.1% of people with no indications of mental health problems.  ↩

  3. Studies of U.S. Iraq and Afghanistan war veterans suggest that the lifetime prevalence of PTSD for veterans is anywhere from 13.5% (which is more than double that of the general population) to 30%.  ↩


We review the evidence and find 15 states that said no to unnecessary fees. Who will be next?

by Peter Wagner, November 20, 2020

The high cost of calling home from prisons and jails rightly gets a lot of attention in the press, but the industry’s practice of tacking on hidden fees is getting an increasing amount of attention from regulators and the savviest correctional facilities. These fees can be called by a variety of different names and can add up to significant costs to the families of people in prison. The problem got so bad that the companies were potentially making more from fees than from selling their product — phone calls.

The good news is that in 2015, the Federal Communications Commission prohibited or capped many of the fees that companies can charge consumers to open, have, fund or close an account. Most notably, the FCC capped the amount that can be charged for an “automated payment” i.e., to make a credit card deposit via the internet or a telephone keypad, at $3. At the time that the FCC capped those fees, some prison phone providers were charging fees as high as $9.50 to make a deposit, despite the fact that most companies in most other industries would be so thrilled to have customers pre-pay for services that they wouldn’t charge a fee at all.

The even better news is that some correctional systems are standing up for the low-income families that pay for these calls by pushing back against some of these unnecessary fees. We found that 15 state prison systems and at least one county jail1 have eliminated automated payment/deposit fees entirely.

State prison systems where there is no credit card fee to make deposits to prepaid accounts, October 2020

When consumers make pre-payment deposits to receive phone calls from these 15 state prison systems, consumers are charged only for the amount they are pre-paying for calls and not an additional payment fee. In October 2020, we attempted to make deposits to receive calls from each of the 50 states on the relevant providers’ websites, and discovered that in these 15 states, no additional fee was charged. In all other states, a $3 or similar payment fee was added to our proposed payment.
State Prison System Vendor
Arizona ICSolutions
California GTL
Delaware GTL
Indiana GTL
Kansas ICSolutions
Maryland GTL
Michigan GTL
Minnesota GTL
Montana ICSolutions
New Jersey GTL
Ohio GTL
Oregon ICSolutions
South Carolina GTL
Virginia GTL
West Virginia ICSolutions

Our survey looked only at the results of these contracts, but it seems clear from the available information that this outcome was the result of savvy negotiating by the facilities and not the generosity of the providers. How these contracts came to be is not always readily or publicly available, but we discovered enough evidence from the small number of readily available records to conclude that most or all of these 15 states sought out this result. For example, the original Requests for Proposals in Indiana and New Jersey said that the states would not accept bids that included deposit fees. And while we did not have access to Oregon’s original advertisement, the contract includes a prohibition on charging fees.

In sum, if states want to prohibit their phone companies from sticking their hands into consumer’s pockets with unnecessary fees, they can do so. Fifteen of them already have.

 

Footnotes

  1. We did not attempt to survey deposit fees for calls from jails, but we know that at least one county jail contract — Dallas, Texas with Securus — prohibits deposit/pre-payment fees.  ↩


When these states, cities, and counties began releasing more people pretrial, there were no corresponding waves in crime.

by Tiana Herring, November 17, 2020

This report has been updated with a new version for 2023.

As COVID-19 makes jails more dangerous than ever, people are looking closer at policies and programs that keep people out of jail and in their homes pretrial. Criminal justice reformers have long supported such measures, but opponents — including district attorneys, police departments, and the commercial bail industry — often claim pretrial reform puts community safety at risk. We put these claims to the test.

We found four states, as well as nine cities and counties, where there is existing data on public safety from before and after the adoption of pretrial reforms. All but one of these jurisdictions saw decreases or negligible increases in crime after implementing reforms. The one exception is New York State, where the reform law existed for just a few months before it was largely rolled back.

Below, we describe the reforms implemented in each of these 13 jurisdictions, the effect these reforms had on the pretrial population (if available), and the effect on public safety. We find that whether the jurisdictions eliminated money bail for some or all charges, began using a validated risk assessment tool, introduced services to remind people of upcoming court dates, or implemented some combination of these policies, the results were the same: Releasing people pretrial did not negatively impact public safety.

About 75% of people held by jails are legally innocent and awaiting trial, often because they are too poor to make bail. The overall jail population hasn’t always been so heavily dominated by pretrial detainees. As we’ve previously reported, increased arrests and a growing reliance on money bail over the last three decades have contributed to a significant rise in pretrial detention. And just three days of pretrial detention can have detrimental effects on an individual’s employment, housing, financial stability, and family wellbeing.

In this analysis, public safety is measured through the narrow lens of crime rates. But pretrial reforms promote other types of safety that are more difficult to measure, such as the safety of individuals who can remain at home instead of in a jail cell, children who are able to stay in their parents’ care, and community members who are spared the health risks (including, currently, the increased risk of COVID-19 exposure) that come from jail churn. (Furthermore, research has found that pretrial detention can actually increase the odds of future offending, which is clearly counterproductive from a crime rate-defined public safety standpoint.)

States and counties can and should build on these pretrial reforms. More progress can be made to continue reducing the number of people held pretrial, and address concerns such as racial bias inherent in pretrial risk assessment tools.1 But the data is clear: When it comes to public safety, these reforms are a step in the right direction.

State level reforms

  • New Jersey
    • Reform: In 2017, the New Jersey legislature passed a law implementing a risk-informed approach to pretrial release and virtually eliminated the use of cash bail.
    • Impact: The pretrial population decreased 50% from 2015 to 2018. By 2019, the overall jail population declined 45%.
    • Public safety: Violent crimes decreased by 16% from 2016 to 2018. There was a negligible difference in the number of people arrested while on pretrial release.

  • New Mexico
    • Reform: A 2016 voter-approved constitutional amendment prohibits judges from imposing bail amounts that people cannot afford, enables the release of many low-risk defendants without bond, and allows defendants to request relief from the requirement to post bond. (The Eighth Amendment already forbids excessive bail, but in practice, bail is regularly set at unaffordable levels in courts around the country.)
    • The impact of this reform on the jail population isn’t known.
    • Public safety: State-wide crime rates have declined since the reforms took effect in mid-2017. Furthermore, the safety rate, or the number of people released pretrial who are not charged with committing a new crime, increased from 74% to 83.2% after the reforms took effect.

  • Kentucky
    • Reform: Kentucky began using a validated pretrial risk assessment tool in 2013. In 2017, the state began allowing release of low-risk defendants without seeing a judge. In addition, a statewide pretrial services agency is required to make a release recommendation within 24 hours of arrest, and reminds people of upcoming court dates via automated texts and calls.
    • Impact: Judges have released more people on their own recognizance since 2013.
    • Public safety: The new criminal activity rate, which measures the rate at which people commit new crimes while awaiting trial, has not changed.

  • New York
    • Reform: A law that went into effect on January 1, 2020 eliminated the use of money bail and pretrial detention for most misdemeanors and many nonviolent felony cases. It also prohibited judges from considering public safety in their release decisions. But on April 3, the bail reform was amended, scaling back some of the changes. The new law, which took effect on July 1, expanded the list of charges for which bail can be set and gave judges more discretion in setting conditions of release.
    • Impact: The pretrial population declined 45% from April 2019 to March 2020. It is estimated that the April reform will result in an increase in the jail population, though it will likely still be lower than if no reforms were instituted at all.
    • Public safety: The NYPD asserted in March 2020 that the original bail reform measures were a “significant reason” for increased arrests in six crime categories from February 2019 to February 2020. However, researchers from Human Rights Watch argued that the reforms had not been in place long enough to pinpoint them as the driving force behind a rise in crime, and accused prosecutors, police, and bail bond agents of spreading “sensational stories and misleading statistics” to kill the reforms. Ultimately, New York’s short implementation period (just three months) and the absence of more complete data make the original reform’s impact on public safety unclear.

County and city level reforms

  • San Francisco, Calif.
    • Reform: Following collaboration between various judicial and public safety departments, the city has used a validated risk assessment tool since 2016. The San Francisco Pretrial Diversion Project also helps by offering alternatives to fines, dismissals of charges for “first time misdemeanor offenders” who complete treatment plans, and other forms of support for people navigating the system. In 2020, the District Attorney announced his office would no longer ask for cash bail.
    • Impact: The jail population has decreased by an average of 47%.
    • Public safety: The city’s new criminal activity rate, which measures the rate at which people commit new crimes while awaiting trial, is 10%. This puts it on par with Washington, D.C. which is often used as a model of pretrial reform success.

  • Washington, D.C.
    • Reform: The District’s Pretrial Services Agency has used a risk assessment tool since the agency was created by Congress in 1967, but their reforms go much further: Judges cannot set money bail that results in someone’s pretrial detention, there are limits to the amount of time people can spend in jail after their arrest, and the Pretrial Services Agency can connect people to employment, housing, and general social services resources.
    • Impact: Over 90% of arrestees are released without a financial bond.
    • Public safety: In FY 2019, 87% of people were not rearrested when released pretrial, and 99% weren’t rearrested for a violent crime.

  • Philadelphia, Pa.
    • Reform: In 2018, the District Attorney’s office stopped seeking money bail for some misdemeanors and nonviolent felonies, which made up the majority of all cases.
    • Impact: 90% of people facing misdemeanor charges were released without bail.
    • Public safety: Researchers found no difference in recidivism after the reforms.

  • Santa Clara County, Calif.
    • Reform: Santa Clara courts began using a validated risk assessment in 2012, and their pretrial services agency sends court date reminders to those released pretrial. In addition, community organizations such as a churches partner with individuals to remind them of court dates, provide transportation, and offer other assistance.
    • Impact: The number of people released without cash bail increased 45% after the reforms.
    • Public safety: 99% of people released were not rearrested.

  • Cook County, Ill.
    • Reform: As of 2017, judges must consider what people can afford when setting bail amounts.
    • Impact: The pretrial population has declined by about 16%. The percentage of people released without cash bail has doubled, and the increase was most dramatic for Black people.
    • Public safety: The number of overall crimes and violent crimes have continued to decline. The vast majority (link no longer available) (99.4%) of people who were released pretrial between October 2017 and December 2018 were not charged with any new violent offenses, and 83% remained charge-free while their cases were pending.

  • Yakima County, Wash.
    • Reform: Yakima County began using a validated risk assessment tool in 2015, at the recommendation of local judicial and public safety stakeholders. The county also implemented a pretrial services program that offers services like helping people obtain mental health or drug treatment and sending automatic court date reminders.
    • Impact: After one year, pretrial detention rates decreased from 47% to 27%, and racial disparities decreased.
    • Public safety: After pretrial services were instituted, the reoffense rate declined by 20%.

  • New Orleans, La.
    • Reform: A 2017 ordinance passed by the city council virtually eliminated money bail for people arrested on municipal offenses. Since then, the city has implemented a risk assessment tool and releases some low-risk arrestees without bail.
    • Impact: There was a 337% increase in the number of arrestees released without bail from 2009 to 2019 (1.9% to 8.3%).
    • Public safety: A subsequent crime analysis found that defendants released without paying bail were no more likely to be rearrested than those who paid bail.

  • Harris County, Texas
    • Reform: Since 2019, the majority of misdemeanor defendants automatically qualify for jail release on no-cash bonds.
    • Impact: While it’s unclear how much the pretrial population has decreased, the gap between the number of white and Black defendants who are detained pretrial has narrowed.
    • Public safety: Rearrest rates did not increase after the reforms were implemented.

  • Jefferson County, Colo.
    • Reform: Following a pretrial reform pilot study, Jefferson County eliminated its money bail schedule and began using a risk assessment tool in 2010.
    • The impact of this reform on the jail population isn’t known.
    • Public safety: People released without money bail were slightly less likely to have a new arrest or filing than those released on money bail.

For more information on pretrial detention, see our reports on jail growth and the ways money bail perpetuates cycles of poverty.

 

Footnotes

  1. Risk assessment tools base their results on existing criminal justice data, which in turn reflect years of biased policing and racial disparities. And ultimately, final decisions over detainment or release are made by people, who are subject to bias. Thus, while risk assessment tools give the impression of fairness, how fair they are in practice depends on the historical data they are based on, as well as the individual using the tools.  ↩


We discuss Biden's plans for clemency, reentry support, drug courts, and juvenile justice reform.

by Wanda Bertram, November 13, 2020

During his campaign, President-elect Joe Biden released a long criminal justice reform platform with many laudable goals, and he is now in a position to begin translating those goals into policy. Of course, Biden won’t be president until late January, but his hard work of preparing to govern begins now.

As he prepares to take office, it’s important to be aware that the success of some of Biden’s criminal justice goals will hinge on how he implements them. It is all too easy for lawmakers to apply their energy for criminal justice reform in ways that will fail to make a dent or that actually reinforce mass incarceration. For example, Biden has proposed to:

  1. Use the president’s clemency power to release people convicted of nonviolent drug crimes. A president willing to use clemency in a broad, sweeping manner could significantly reduce the federal prison population — without needing to consult Congress. But if President-elect Biden spends too much time reviewing clemency applications to avoid all possible risk, it’s unlikely that he will make a big impact. To understand why, recall President Obama’s record on clemency: Obama created a bold clemency initiative, but also created unnecessary layers of administrative oversight that led to most applications being denied or “set aside.” In 2016, we wrote about the more efficient ways that a president can use the power of clemency.
  2. End all incarceration for drug use alone, and instead divert individuals to drug courts and treatment. Almost half of all people in federal prisons are there for drug offenses. But sending more people to drug courts — alternative courts that mix supervision with treatment — actually runs contrary to Biden’s goal of ending incarceration for drug use. Why? Because drug courts are still overseen by judges, who frequently throw people back in jail for failing to keep up with stringent requirements. Moreover, prison sentences for people convicted of drug possession are typically not long to begin with. As a result, the Drug Policy Alliance found, drug courts don’t significantly reduce incarceration. To end incarceration for drug use, focus on reducing drug possession enforcement overall – not just modifying the way drug users are punished.
  3. “End the school to prison pipeline” by doubling the number of mental health professionals in schools. The school to prison pipeline is a national disgrace, but its roots go far beyond a shortage of counselors in schools. High arrest rates in schools have also been linked with high-stakes testing regimes, overworked teachers, and the presence of police officers in schools (often called “School Resource Officers”). In fact, schools that retain police officers on campus have arrest rates 5 times higher than schools without those officers. If a Biden administration funds new mental health programs to reduce arrests in schools, it should pair this funding with general support for cash-strapped classrooms — and a reduction in the number of School Resource Officers — to see real results.
  4. Ensure that people leaving prison have housing, by expanding funding for halfway houses. Biden is correct to prioritize housing for formerly incarcerated people to increase health and safety. But halfway houses (as we explained in our guide to understanding them) are nothing like normal housing. They are a step down from prison, and most residents are required to be there as a condition of their parole. Halfway houses have staff who control when residents can come and go, and they are often run by the same private prison companies that Biden wants to purge from the criminal justice system. A halfway house is not a housing plan for someone leaving prison. To guarantee that formerly incarcerated people have stable homes, the government should invest in voluntary transitional housing, affordable housing in gentrifying areas, and permanent housing for the homeless.
  5. Use grants to encourage states to place “non-violent” youth in community-based alternatives to prison. This proposal is one of a number of programs in Biden’s plan that applies to “non-violent offenders” only. But the labels “violent” and “non-violent” are nebulous ones, imposed by the criminal justice system, and conceal important parts of every individual’s personal history. Especially for youth, there is no need to means-test criminal justice reform by automatically excluding anyone with the “violent” label in their paperwork. As we explained in Youth Confinement: The Whole Pie, community-based consequences are more effective than incarceration for youth charged with all kinds of offenses, including violent ones.

As we keep our eyes on the Biden administration’s action on criminal justice reform, it’s important to remember that state prisons and local jails incarcerate vastly more people than federal facilities do. Local and state lawmakers don’t need to wait for the White House to make much-needed law and policy changes.

But the president still has a great deal of power — through executive orders, cabinet appointments, policy guidance, and the bully pulpit — to reshape the criminal justice system. In fact, the legacies of past presidents (such as the Clinton administration) are clearer than ever right now as crowded prisons enable COVID-19 to spread like wildfire. The Biden administration needs to get to work immediately to prevent more COVID-19 deaths behind bars, reduce the prison population, and help people leaving prison reenter society safely, and it’s important that the administration allocate its energy in the right places. There is no time to waste.


by Peter Wagner, November 10, 2020

Yesterday, the Prison Policy Initiative filed comments before the California Public Utility Commission, calling for it to reduce the cost of calling home from California prisons and jails. Our comments included a comprehensive survey of the phone rates in each county.

In 2015, the Federal Communications Commission capped the cost of interstate calls at 21¢ per minute and is currently accepting comments on a proposal to lower that cap further still. However, FCC rate caps only apply to calls that cross states lines. But most calls do not cross state lines and those calls can cost far more — up to 90¢ per minute. For now, it is up to individual states to set rate caps for calls that stay within a state, so the California Public Utility Commission announced on October 19 that it was requesting comments on whether and how it should begin to regulate the industry.

Our comments review the cost of in-state calls from California facilities, as well as the too-high cost of video calls from California facilities. Our comments also addressed two other harmful practices: the prevalence of vendors bundling the phone and video services together into one complicated exploitative contract; and evidence showing that some vendors are charging more than the maximum $3 deposit fees authorized by the Federal Communications Commission.

The Utilities Commission will be accepting reply comments on November 19 and holding a pre-hearing conference on December 10. The Utilities Commission expects to have a proposed decision in the spring or summer of 2021. All of the documents filed in this rulemaking are available in Docket 20-10-002.


Women are being jailed at higher rates than ever. We explore whether drug arrests and substance abuse could be having an impact.

by Tiana Herring, November 10, 2020

After skyrocketing for decades, overall incarceration rates have finally been on a slow decline since 2008. But a closer look at the data reveals a major exception: women. From 2009 to 2018, the number of women in city and county jails increased by 23% — a rise that effectively cancelled out more than 40% of the simultaneous 7.5% decrease in the men’s jail population. Meanwhile, reductions in state and federal prison populations have mostly affected men.

Women make up about 10% of people in jails and prisons. This means that patterns unique to women’s incarceration are easily obscured when we focus exclusively on the larger, overall incarcerated population. And when we overlook incarcerated women as a unique group, we also fail to address the additional challenges they face — including different health care needs and a greater likelihood of being a primary caretaker of young children — that make their growing numbers all the more alarming.

Since public health research shows that women are also affected in unique ways by the opioid crisis, we decided to see whether drug enforcement trends and substance abuse could be contributing to the rising number of women behind bars.

Increased drug arrests for women

Over the past 35 years, total arrests have risen 25% for women, while decreasing 33% for men. The increase among women is largely driven by drugs: During that period, drug related arrests increased nearly 216% for women, compared to 48% for men.1

Graph showing the percent change in women's and men's drug related arrests compared to their 1985 baseline arrest numbers.

Changes in policing in the 1990s contributed to this rise. The shift toward “broken windows” policing — or arresting people for minor offenses to supposedly prevent major crime — resulted in increased arrests for both men and women. But these policies particularly affected women, who are more likely to be involved in relatively minor drug crimes like simple possession than higher-level drug offenses.

More than a quarter of women in jail are held for drug crimes, which holds true for both convicted and unconvicted women. (Another 32 percent are held for property offenses, which are often linked to drug dependence and abuse.) In state prisons as well, the share of women incarcerated for drug and property crimes is greater than for their male counterparts.2

Where are the increases in women’s incarceration happening?

We looked to see if the increase in women’s incarceration was driven by rising arrests in rural areas, where the opioid crisis has hit particularly hard. But we found that women’s drug arrests were actually up in all county types over the last decade (by 25% in rural, 23% in urban, and 26% in suburban counties).

We also checked to see if there was a significant change in white women’s incarceration, since the current3 opioid epidemic is widely viewed as a white issue. Here we did find a relevant trend: Although prison and jail incarceration rates remain higher for Black and Hispanic women than for white women, incarceration is particularly on the rise among white women. From 2010 to 2019, overall prison incarceration rates for white women increased by 2% — while simultaneously decreasing for white men, Black men, Hispanic men, Black women, and Hispanic women. When we look back a decade further, which captures the beginning of the prescription drug crisis, the gender disparity in growth was even greater: Incarceration rates increased 38% for white women and 28% for Hispanic women from 2000 to 2010, compared to 2% and 3% for white and Hispanic men, respectively.

We also found that growth in women’s incarceration is primarily happening at the jail level. Unlike incarcerated men, incarcerated women are more likely to be in county or city jails than in state or federal prison. Most of these jailed women (60%) have not been convicted of a crime and are being held pretrial, often because they cannot afford bail. This isn’t surprising when you consider that most women held on bond have incomes that fall below the poverty line.

Trends in addiction among women

Knowing that drug arrests are on the rise, we looked to see if addiction is increasing among women, particularly opioid abuse. We found that although women and men are equally likely to develop a substance use disorder, 57% of those misusing opioids are women. The health toll is enormous: Women entered emergency rooms due to painkiller misuse an average of once every three minutes in 2010. Women’s rising opioid use is also reflected in an almost 600% increase in opioid overdose deaths from 1999 to 2016, compared to a 312% increase for men over the same time frame.

Researchers find that women may be more likely to receive opioid prescriptions due to a variety of factors: Women are more likely to seek out health care, go to the doctor regularly, and report experiencing pain, including chronic pain. Health care providers are also more likely to miss signs of addiction in women. (Disparate access to health care may also contribute to the rise in the incarceration of white women specifically. White people, who have higher rates of access to health insurance and physicians, were more likely to become addicted to prescription drugs like OxyContin than Black and Hispanic people.)

Drug dependence is also more pronounced among incarcerated women than incarcerated men. The most recent data available show that in 2009, around 70% of women serving sentences in prisons and jails struggled with drug abuse and dependence.4 And from 2004 to 2009, drug abuse and dependence among women in state prisons grew at twice the rate of men.

Additional challenges for incarcerated women

The growing number of incarcerated women face unique challenges that prisons and jails aren’t equipped to address. Incarcerated women are more likely to have a history of abuse, trauma, and mental health problems than incarcerated men.5 One-third of women in jails, for example, report experiencing serious psychological distress in the past 30 days. Women may also have additional health considerations, including pregnancy and reproductive health concerns.

Incarceration also has devastating effects on the families of incarcerated women. The majority of women in prisons and jails are mothers to minor children, and most incarcerated mothers were their children’s primary caretaker before their incarceration. The trauma of having a parent incarcerated leaves lasting negative impacts on children, and parental incarceration can cause financial instability for families.

For the sake of incarcerated women and their families, more needs to be done to understand the continued rise in women’s incarceration — and to make sure reforms impact women as well as men.

 

Footnotes

  1. This data – and the data in the following graph – comes from the “Arrestee Sex” table from the FBI Crime Data Explorer. A previous version of this briefing stated total arrests had risen 15% for women, while decreasing 40% for men. The previous version of the following graph stated that drug related arrests increased nearly 190% for women and 34% for men. These percentages were based on more limited data presented in the FBI Crime Data Explorer tables entitled “Male Arrests By Age” and “Female Arrests By Age.”  ↩

  2. According to the BJS’ Prisoners Series reports from 2010 to 2019, the percentage of women in state prisons held on drug offenses remained at around 25% from 2009 to 2018, while an average of 27% were held for property offenses. Over the same time period, an average of 15% of men in state prisons were held for drug offenses and 17% for property offenses.  ↩

  3. In the 1970s, Black and Latinx communities experienced a heroin epidemic that did not receive the same amount of public awareness, sympathy, or resources as the current opioid epidemic.  ↩

  4. It’s possible the percentage of people incarcerated who are drug dependent is even higher, since the most recent data are from 2009, and heroin deaths didn’t start to rise until 2010. Additionally, the data exclude people detained in jails who are not convicted — which is about 75% of all people in jails.  ↩

  5. 73% of women in state prisons reported having a mental health problem in 2006. 98% of women in jails had been exposed to trauma during their lifetimes, according to a 2005 study.  ↩


At the current pace of decarceration, it will be 2088 when state prison populations return to pre-mass incarceration levels.

by Alexi Jones, October 30, 2020

Last week, the Bureau of Justice Statistics (BJS) released Prisoners in 2019, an annual report that breaks down the number of people incarcerated in state and federal prisons. Along with the report, BJS released a press release that paints a deceptively rosy picture of mass incarceration in the United States, which has been parroted by numerous media outlets.

The press release boasts that the United States’ incarceration rate (419 per 100,000 people) is at its lowest since 1995, and that Black Americans are incarcerated at the lowest rate in 30 years. But this framing misses the bigger picture: 1.4 million Americans, who are disproportionately Black, are still incarcerated in state and federal prisons — meaning that the prison population is still five times larger than it was in 1975, before the “war on crime” really took hold and the number of people under correctional control exploded.1 Moreover, the slow pace of decarceration, especially for Black people and women, means we are looking at decades more of racially disparate mass incarceration in the United States unless lawmakers are willing to make much bolder changes.

If knowing the historical context is helpful, so is understanding that incarceration goes beyond federal and state prisons. 738,000 people, disproportionately Black, are locked up in local jails as of 2018. That year (the most recent for which BJS has published jail data), there were 4.7 times as many people incarcerated in local jails as there were in 1978. This increase is largely due to the rise in pretrial detention — the jailing of people who are still awaiting trial and haven’t been found guilty of a crime. (The newly-released prison data also obscures the fact that in some places, people who would have been held by state prisons in 1995 are now held by local jails, most notably in California, where this “realignment” was enacted in an effort to reduce prison overcrowding. There and in other states, changes to sentencing structures have shifted people out of prisons but into jails.)

Not only is our state and federal prison population still massive, the data in the report reveals that our pace of decarceration has been stubbornly slow. Recent criminal justice reforms have not been nearly enough to counteract the massive growth of our prison populations over the past forty years. At the current pace of decarceration:

  • It will be 2044 when the federal prison population returns to pre-mass incarceration levels — 24 years from now.
  • It will be 2088 when state prison populations return to pre-mass incarceration levels — 68 years from now.
  • It will take until 2039 for the Black incarceration rate to equal the 2019 white incarceration rate—19 years from now.
  • And it will be 2199 when the women’s prison population returns to pre-mass incarceration levels — 179 years from now.

Troublingly, the report shows that, at least in the year before the COVID-19 pandemic, some states were moving backwards. From 2018 to 2019, Indiana’s prison population increased by 1.1%, Alaska’s grew by 2.2%, Georgia’s rose 2.2%, Nebraska’s increased by 3.5%, North Dakota and Alabama both saw a 5.5% increase, and most disturbingly, Idaho’s prison population grew by 8.9%. Even worse, almost all of these states have prison systems that are already overcrowded, or close to their maximum capacity. Nebraska and Idaho’s prisons, for example, are holding 115% and 110%, respectively, of their highest capacity. (During the pandemic, at least some of these states have reduced their prison populations more significantly, but it remains to be seen whether these reductions will last.)

The federal prison system’s population is declining at a faster rate than state prisons, but the report shows that reforms are not going far enough. Nonviolent drug offenses are still a defining characteristic of our federal prison system. In 2019, 46% of people locked up in federal prisons were serving time for a drug offense, while only 8% were serving time for a violent offense.

The report also boasts that the Black incarceration rate is at its lowest since 1989. While Black Americans certainly are incarcerated at a lower rate than they have been at other points in U.S. history, it’s important to put these numbers in perspective. Black Americans are still incarcerated in state and federal prisons at five times the rate of white Americans. 1.1% of all Black Americans are incarcerated, compared to 0.2% of white Americans. The numbers are even more disturbing when we focus in on Black men. 1 in 50 Black men are incarcerated, including over 1 in 25 Black men between 25 and 44 years old.

graph showing racial disparity between white and black men at all ages in prison in 2019

Finally, the report reveals that the women’s prison population is declining at less than half the rate of the men’s population. Between 2009 and 2019, the men’s prison population declined by 1.2% per year, while the women’s population has declined by 0.5%, or 550 people per year. This is despite the fact that women’s state prison populations grew 834% over nearly 40 years — more than double the pace of the growth among men.

Prisoners in 2019 underscores the need for bold criminal justice reforms that dramatically reduce our prison populations and eliminate the pervasive racial disparities in our criminal justice system. And as we have noted before, states must pay special attention to women’s incarceration. Criminal justice reforms are even more urgent as COVID-19 sweeps through prisons and jails across the country, putting millions of lives at risk.

 

Sources and methodology

The late 1970s is an especially useful point of reference because it is right before the “war on crime” really took hold-incarceration rates had been relatively flat for decades and the number of people under correctional control had not yet exploded. In order to determine our baselines we used incarceration rates to ensure that 1975 was representative of historical trends. We used 1975 as our starting point for the prison population comparisons and projections.

The data for our state and federal prison projections came from the Bureau of Justice Statistics reports Prisoners in 2019 and Historical Statistics on Prisoners in State and Federal Institutions, Yearend 1925-86. For the federal prison population, we used 1975 as our baseline (24,131 people) and 2012 (197,050) as our peak value with an average yearly decline since the peak (6,100/year) to arrive at our projection of 2044. And for the population held in state prisons, we used 1975 as our baseline (216,462) and 2009 (1,365,688) as our peak value with an average yearly decline since the peak (15,168/year) to arrive at our projection of 2088.

For our racial disparity projection, we relied on data in Table 5 of Prisoners in 2019. We used the current incarceration rate for white individuals (214) as our baseline, and focused on the change in the incarceration rate for Black individuals between 2009 (the year prison populations peaked) and 2019, which declined by an average of 44.8 people per 100,000 per year. It would therefore take over 19 years for the Black incarceration rate to reach the 2019 white incarceration rate.

Finally, for women’s incarceration, we used 1975 as a baseline (with 8,675 women in state and federal prisons), and 2009 (113,485 women) as the peak with an average decline of 553 women per year to arrive at our projection of 2199.

Footnotes

  1. In 1975, there were 216,462 people incarcerated in state prisons, and 24,131 people incarcerated in federal prisons for a combined population of 240,593. In 2019, there were 1,430,805 million people incarcerated in state and federal prisons.  ↩


Electronic law libraries are not always improvements for incarcerated people, particularly when prisons turn to them as a way of cutting costs.

by Stephen Raher and Andrea Fenster, October 28, 2020

Prisons and jails are increasingly turning to electronic law libraries, moving from traditional book collections to databases accessed via shared kiosks or tablets. As of 2018, 88% of states have transitioned to electronic-only legal research tools. And in 2020, with a pandemic making in-person gatherings risky, even more prisons and jails may be moving to make services like law libraries digital.

These legal resources are essential for people behind bars, who have a constitutional right to access the courts, which includes the right to assistance in preparing and presenting a valid legal claim.1 When prisons provide this assistance in the form of an electronic law library, it’s important to understand how and why these systems are put in place.

In particular, there’s a world of difference between a prison system that designs a digital library with the needs of incarcerated people in mind, compared to one that digitizes its library primarily to cut the costs of running a physical library. To illustrate this difference, consider the two markedly different approaches that Oregon and South Dakota took when implementing an electronic law library system. While neither state’s program is perfect, both provide valuable lessons in the importance of system design.

Oregon

Oregon’s new program is unique because of the way it was designed. It originated with State Law Librarian Cathryn Bowie, who noticed a substantial number of requests for materials that already existed but which were inaccessible to those in the state prison system. While the resulting online system is expected to save the state money over time, it was designed with usability, not budget cutting, as the primary focus. Oregon’s system is an online legal research system provided by a vendor called Fastcase, with external links disabled. Oregon’s system for legal research has several key features:

  • Planning process. Planning for the Oregon project started with librarian Bowie visiting every prison in the state and asking incarcerated people about their research needs. Although the content is provided by a vendor (Fastcase), the system was designed in-house, as a collaboration between the state law library and the Department of Corrections.
  • Cross-agency. The research platform is available not only to adults in the state prison system, but also to patients in the Oregon State Hospital and juveniles confined in the Oregon Youth Authority.
  • Expansion plans. According to Bowie, the project’s designers are not resting on their laurels. Having established the basic functionality and security of the research platform, the designers are evaluating future enhancements (again, driven by user needs). For example, the research platform is now available on desktop computers in facility libraries, but project managers are working on ways to make the resource more readily available to people in segregation or who otherwise have difficulty accessing the library. Other features that could be in the works in the future include educational programs, an expanded catalogue of publications, and electronic court filing capabilities.
  • Ongoing training. Bowie continues to tour the state, training incarcerated people on the new electronic legal research system. Unlike South Dakota where training is conducted by a marketing employee of the contractor, Oregon’s training is conducted by the person who is in charge of the program: thus user feedback and suggestions can go straight to the program manager, without having to filter through layers of corporate bureaucracy.

No system is perfect, and surely, Oregon’s law library system has shortcomings. Still, the very fact that it is designed and managed with the specific needs of incarcerated users in mind is a step in the right direction.

South Dakota

On the other hand, South Dakota’s law library system design is largely a result of cost cutting efforts by prison administrators. Prior to 2017, South Dakota provided legal assistance to people in its state prison system via contract attorneys and paralegals who would visit facilities and provide one-on-one assistance to people who needed help. However, in October 2017, the state eliminated this system and replaced it with a computer research program provided by Lexis-Nexis. Users are expected to access this database via computer tablets issued by communications company Global Tel*Link (“GTL”).

The switch saved the state over $80,000 on its regular contracting, not to mention savings on other costs, like printed law books.2 Yet, the cost savings is only part of the story:

  • Technical failures. When the tablets were rolled out, many users reported persistent connection problems that prevented them from actually doing legal research. Managers eventually concluded that the system’s wireless signals could not travel through the thick reinforced concrete that was used in many facilities, something that apparently was not tested prior to the rollout of the new system.
  • Economic unfairness. Although people in South Dakota receive a tablet for free, woe be to those who experience malfunctions. GTL’s corporate representative did not even know if there was technical assistance for people whose tablets fail through no fault of their own. However, if an “investigation” determines that the user is responsible for damage, then they must pay $199 for a replacement. GTL buys the tablets for $80 each.
  • Technology instead of help. The Lexis app that runs on the GTL tablets is the same software that legal professionals use (Lexis Advance), with external links disabled. On the one hand, this is helpful since plenty of training materials for Lexis Advance already exist. On the other hand, it’s a vivid illustration of the folly of not providing regular in-person assistance to incarcerated people who need legal help. Law schools and law firms spend considerable resources training lawyers (or soon-to-be lawyers) how to navigate Lexis’s dense collection of information. It is willful indifference to simply give an app to a population of non-lawyers with below-average levels of formal education and unfamiliarity with technology, and expect them to perform legal research. Even GTL’s corporate representative admitted that the tablets are used by “individuals who, in many instances…have no familiarity with tablet technology.” Lexis did provide some on-site training when the program first started, but now only offers live training upon the DOC’s request, via a Missouri-based employee who is responsible for numerous states. It’s unclear whether the DOC regularly schedules such trainings, but it is clear that user education is an afterthought.
  • Lack of detailed planning. Incarcerated people sued South Dakota in 1998, alleging constitutional violations of their right to access the courts. When the state settled those lawsuits, it agreed to maintain specified legal resources at all state prisons. It would be logical that the new computerized research system would be designed to honor the state’s obligations under the settlement agreement, but Lexis-Nexis’s corporate representative testified that he was unaware of the settlement or its contents.

Conclusion

South Dakota and Oregon illustrate two radically different approaches states can take to updating their prison law libraries: Take the time to identify people’s needs, and then work collaboratively to continue to train users and modify the systems as necessary; or offload the burden of providing a law library onto a private company, who in turn throws a digital product at incarcerated people and wishes them the best. Unfortunately, by now, many other prison systems have likely taken South Dakota’s path. But with incarcerated people’s access to the courts on the line, states need to focus not on cost-cutting, but on usability.

 

A Note on Methodology

This piece was written using a combination of sources. The information on Oregon’s law library largely came from an interview on the radio show Think Out Loud with librarian Bowie and an interview by the author. For South Dakota, we drew on two depositions from a 2018 class action case, Brakeall v. Kaemingk. The information used in this briefing can be found in the deposition of Brian Peters at pages 20-35, and the deposition of Anders Ganten at pages 21-34.

 

Footnotes

  1. Lewis v. Casey, 518 U.S. 343 (1996).  ↩

  2. In 2017, the South Dakota legal aid contract cost $137,400. Other costs, like paper law books and fees for alternate lawyers when the on-site attorney had a conflict, added up to over $276,000 in 2017. The Lexis-Nexis research program cost only $54,720 in the first year.  ↩




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