We compiled, corrected, and analyzed 45 years of state-level probation and parole data, and found that while most (but not all) states have reduced the number of people they’ve placed under supervision, many states have had more people on probation than previously reported.

by Jacob Kang-Brown, June 2, 2026

pie chart shoring that the majority of people under correctional control are on probation or parole

Around two-thirds of all people under correctional control are on probation or parole. For data details, see the methodology.

Community supervision represents the largest segment of the criminal legal system and, much like incarceration, it is almost entirely a state- and locally-run enterprise. As we explain in Punishment Beyond Prisons, on an average day, around 3.5 million people are on probation or parole compared to 2 million people who are incarcerated. To put this into perspective, that means more people are on parole than are in local jails nationwide, and people on probation make up more than half of all people under correctional control of any kind.
But how has the number of people under supervision in each state changed over time? In this briefing, we clean up and piece together state-level community supervision data covering roughly the last 45 years to provide a clear view of supervision dynamics in each state, as well as how states compare to one another.

This briefing includes state-level annual data tables and detailed trendline graphics going back to the 1970s, at the start of a rapid expansion of incarceration and community supervision. Compiling these data required correcting data published by the Bureau of Justice Statistics and updating estimates that states had previously reported during the 1990s or early 2000s. 1 Through this process, we discovered that many states have had more people on probation than previously reported. We also found that people under supervision are trending older, much like the rest of the criminal legal system.

To learn more about the data we used and the corrections we made, see the data discussion and the detailed methodology.

Community supervision has declined by nearly a third since its peak in 2009

After experiencing rapid growth alongside the jail and prison boom decades of the 1980s and 1990s, parole and probation populations have changed course. Between 2009 and 2024, the overall rate of people on community supervision across the United States fell by 31%. 2 This decline has happened nearly across the board: 41 states and the District of Columbia have substantially reduced community supervision rates over the past 15 years.

How did community supervision rates change between 2009 and 2024?

Table 1. Community supervision rates by region and state per 100,000 residents in 2009 and 2024, with difference and percent change. For all years of data, see the appendix tables.
Region Rate in 2009 Rate in 2024 Difference in Rates 2009 to 2024 Percent Change in Rates 2009 to 2024
United States 1,621 1,121 -500 -31%
South 1,849 1,356 -494 -27%
Alabama 1,227 1,021 -206 -17%
Arkansas 1,785 2,399 614 34%
District of Columbia 2,372 906 -1,466 -62%
Delaware 1,946 1,082 -864 -44%
Florida 1,457 786 -671 -46%
Georgia 4,964 3,501 -1,463 -29%
Kentucky 1,565 1,373 -192 -12%
Louisiana 1,466 1,206 -260 -18%
Maryland 1,888 1,346 -542 -29%
Mississippi 1,004 1,574 570 57%
North Carolina 1,165 628 -537 -46%
Oklahoma 1,246 1,225 -21 -2%
South Carolina 878 559 -319 -36%
Tennessee 1,910 1,645 -265 -14%
Texas 2,142 1,524 -618 -29%
Virginia 999 831 -168 -17%
West Virginia 557 619 62 11%
Midwest 1,659 1,186 -473 -29%
Illinois 1,019 989 -30 -3%
Indiana 2,253 1,441 -812 -36%
Iowa 871 1,093 222 25%
Kansas 785 657 -128 -16%
Michigan 2,119 1,209 -910 -43%
Minnesota 2,400 1,535 -865 -36%
Missouri 1,286 868 -418 -33%
North Dakota 687 820 133 19%
Nebraska 1,015 609 -406 -40%
Ohio 2,348 1,591 -757 -32%
South Dakota 1,159 994 -165 -14%
Wisconsin 1,172 1,040 -132 -11%
West 1,320 789 -531 -40%
Alaska 1,239 453 -786 -63%
Arizona 1,363 1,085 -278 -20%
California 1,180 485 -695 -59%
Colorado 1,812 1,587 -225 -12%
Hawai’i 1,582 1,016 -566 -36%
Idaho 3,887 1,966 -1,921 -49%
Montana 1,128 981 -147 -13%
New Mexico 1,141 712 -429 -38%
Nevada 614 693 79 13%
Oregon 1,648 1,115 -533 -32%
Utah 539 439 -100 -19%
Washington 1,569 1,108 -461 -29%
Wyoming 1,090 936 -154 -14%
Northeast 1,271 766 -505 -40%
Connecticut 1,640 886 -754 -46%
Maine 553 419 -134 -24%
Massachusetts 1,220 625 -595 -49%
New Hampshire 493 299 -194 -39%
New Jersey 954 491 -463 -49%
New York 886 448 -438 -49%
Pennsylvania 2,052 1,518 -534 -26%
Rhode Island 2,511 1,526 -985 -39%
Vermont 1,268 695 -573 -45%

Declining numbers of people on community supervision are primarily the result of courts placing fewer people on probation, specifically. Parole boards have also been stingier with granting release in recent decades, holding fewer hearings and handing down denials in greater numbers. In fact, nearly every state with discretionary parole is granting release to fewer people each year.

While the number of people on community supervision has been trending downward, supervision nonetheless remains at a high level compared to other forms of correctional control. Looking beneath the national-level data can help us understand what is driving these changes.

At the regional level, the South 3 had the highest rate of community supervision in both 2009 and 2024; the Northeast 4 had the lowest. While every region saw falling supervision rates, the drops were larger in the West 5 and Northeast than in the South and Midwest.6 Meanwhile, in both the West and Northeast, the total number of people on community supervision fell to less than 1% of the total state population (a rate of 1,000 per 100,000 residents). In 2009, only 12 states were below that 1% mark; by 2024, half of all states were.

A 50-state map showing states grouped into lower, middle, and higher rates of community supervision. States in the South tend towards higher rates, but all regions have states in the higher and lower groups.

Of the 10 jurisdictions that had, at minimum, a staggering 1 in 50 people on probation or parole in 2009, only two (Georgia and Idaho) continue to place people under supervision at such a massive scale today. 7 Even so, Georgia’s community supervision rate has fallen by almost 30% in that time.

Arkansas has earned the ignoble distinction of having the largest rise in the community supervision rate between 2009 and 2024. The state went from having 1,785 to 2,399 per 100,000 residents under supervision — an increase in the rate of 614 per 100,000 residents. Remarkably, Arkansas went from the state with the 14th highest rate of supervision in the country (below the overall rate in the South) to the second highest. It is also one of only six states that saw a growth in its supervision rate of 10% or more. 8 See our appendix tables for a detailed breakdown of supervision population counts and rates for each state since the 1970s.

The new, more accurate data we present offer new insights on historical trends in community supervision. For example, Illinois and Oklahoma both had more or less unchanged rates of community supervision in 2009 and 2024. 9 However, the uncorrected data published by the Bureau of Justice Statistics would give a different impression: that Illinois had reduced community supervision by 42% in that period.

Importantly, readers should note that, when interpreting trend lines in different states, changes in probation and parole populations over time are not inherently good or bad; they can result from a wide range of reforms across the criminal legal system. For example, more people on parole might mean that states are moving more people out of prisons in recognition of the fact that they don’t threaten public safety. Declining community supervision could reflect new policies lowering barriers to successfully completing a supervision term, like reducing the number of conditions or the use of carceral sanctions for violations. We argue that far more people should be granted parole, 10 which would reduce prison populations and return people to their communities, and that probation is overused for lower-level offenses. Determining the forces that have shaped probation and parole in each state is outside the scope of this briefing, but we hope the data series we provide can help others carry that work forward.

The age of people on community supervision has risen dramatically

As mass incarceration ramped up between the 1970s and 1990s, politicians stoked racism and criminalized youth as easy targets, leading to an estimated 2.8 million youth and young adults on community supervision in 2009. 11 By 2024, however, their number had fallen by two-thirds to under 1 million. Youth and young adults went from representing close to half of all people who were under supervision in 2009 12 to only a quarter in 2024. 13

Bar chart showing estimated number of people who had been on community supervision in 2009 and 2024 within the last 12 months, by age group.

While primarily a sanction for youth and young adults in the early 2000s, community supervision now appears to be more concerned with older adults and those living in poverty. In stark contrast to the drop in the supervised youth and young adult population, the number of people aged 50 or older who were under supervision grew by 2% between 2009 and 2024. 14

It’s worth noting just how much the parole and probation age distribution has changed in this time span. In 2009, 1 in 17 young adults were on supervision; for youth under 18, the rate was 1 in 30. For young people today, community supervision is a far rarer circumstance, inflicted on 1 in 65 people under age 18, and 1 in 59 young adults aged 18 to 25. For others, there has been much less of a change: in 2009, 1 in 33 adults aged 26 to 49 were on supervision, a rate that grew to 1 in 45 in 2024. Meanwhile, the supervision rate for adults aged 50 and older went from 1 in 130 in 2004 to 1 in 164 in 2024.

What we’ve learned about supervision data quality (and ongoing issues in certain states)

Questions advocates and researchers should ask about community supervision data

Advocates, journalists, and researchers working with state or local community supervision data may want to inquire about the nuances to get a better handle on what was actually measured.

Active vs. inactive probation: Many people on supervision are on inactive or “fee-only” statuses, where they may not have to report to a probation officer anymore. From the perspective of probation agency managers, moving people to inactive status reduces officer caseloads. But for a person still under this “inactive supervision,” a jail stay may still be hanging over their head if they fail to pay probation fees or other monetary sanctions on time. 15

Private probation: A number of states use private firms to conduct supervision. Sometimes these private firms are the only misdemeanor probation or pretrial supervision providers available in a local court. Other times they are one option for release among others, such as public probation supervision or bail bondsman. 16 Bureau of Justice Statistics (BJS) staff indicated to us that they do not include data from private probation agencies unless a state agency is already collecting that information (as is the case in Georgia and Florida but seemingly nowhere else). 17 This can lead to huge probation data gaps in places like Tennessee, where one in three people on probation appear to be supervised by a private company.

New forms of pretrial or post-prison supervision managed by county probation departments: In many states, county probation departments have taken on different kinds of cases due to reforms intended to reduce the number of people in jail or prevent people from being sent back to prison for minor issues while on parole. These can be called different things in different states: for instance in California — where counties are responsible for supervising most people released from prison via newer statuses called “mandatory supervision,” or “post-release community supervision” while technically supervised by probation agencies — these people may not be counted in some probation statistics.

“Dual status” people on both probation and parole: People with both open probation and parole cases — known as “dual status” individuals — make up a small share of the system, but they appear to be highly concentrated in certain states. BJS data are only available at the state level in the published datasets for year-end 2007 to year-end 2018, making it hard to know how many unique individuals are under community supervision, and how much double counting might be happening. 18

Person vs. case counts: For states that put a lot of people on probation, there may also be discontinuities when a state switches from “case-level” to “person-level” data, or de-duplicates records across counties (one person may have a probation case open in multiple counties in Georgia, for instance).

In vs. out of state: Some datasets may not count all people currently under community supervision in a state because people may relocate and be under supervision in a new state.

The fractured nature of correctional control across local, state, and federal jurisdictions makes it hard to truly comprehend the scale of mass punishment. While we typically rely on and trust data published by government agencies to produce our analyses, this research provided an opportunity to compare state and federal sources and correct what were, in many cases, obviously distorted datapoints. In this section, we give a high-level overview of some of the most common problems we identified in the data; you can skip ahead to read the full methodology for more detailed information on how we compiled these data and arrived at our estimates.

There are three different ways we honed the data to clarify trends in each state (impacting probation figures in particular).

line chart comparing Virginia's misdemeanor probation as reported by the state vs. as reported by the Bureau of Justice Statistics, revealing that the federal data falsely suggest recent massive growth

1. The Bureau of Justice Statistics’ (BJS) improved sample makes it looks like caseloads grew when they didn’t: Recent BJS methods are finally catching up to the extent of probation in states like Oklahoma, Tennessee, and Virginia by collecting data from local (in addition to state) probation agencies. However, this change in collection practices has appeared in the data as a rapid rise in probation in those states. To the contrary, by constructing an accurate and comparable data set, we find that the number of people on probation in those states in recent years has been generally trending downward.

line chart showing that a Bureau of Justice Statistics estimate spiked due to a mistaken imputation, not reflecting reality of Minnesota probation population

2. Incomplete data reporting by probation agencies sometimes leads to over-estimates in BJS publications. The Bureau of Justice Statistics imputes (creates estimates for) missing or incomplete data, and sometimes does so in a way that leads to an otherwise unexplainable data spike in a single year. In Delaware, Kansas, Massachusetts, Minnesota, and Mississippi, BJS data appear to show sudden peaks in the number of people on probation, while alternative state-level data sources we found show those increases never actually took place.

line chart showing that California's corrected state data does not result in Bureau of Justice Statistics updates.

3. States often correct their data when they find errors, but the updates don’t always make it to BJS: In states like California, Illinois, Maryland, New York, and Pennsylvania, state agencies collect and synthesize probation information in ways that lead to data improvements over time. Unfortunately, the Bureau of Justice Statistics does not have a mandate to go back and collect this updated data, which would otherwise correct double counting, typos, and other issues. Neglecting these updates can enshrine errors in the historical record, as is the case with California’s peak probation population, which is actually quite a bit lower than reported by BJS. Worse, ignoring updates can obscure real-world changes. Take, for example, the real and sudden drop in probation cases between 2014 and 2015 in California due to Prop 47 making many criminal cases eligible for misdemeanor sentences that would have otherwise been felonies. The BJS data show a smoother decline, but subsequent data improvements from the California Department of Justice show that, while relatively small, the change was nonetheless much more abrupt.

Conclusion

As a true “alternative” to prison or pretrial detention, parole or probation can be an improvement over the status quo. Unfortunately, community supervision tends to be poorly designed as a way to balance accountability with connecting people to the services and treatment they need to achieve stability. Both probation and parole impose an excessive number of conditions on people that can be nearly impossible to comply with all the time. When someone on supervision is accused of violating a condition — particularly through behaviors that are not crimes — they are often incarcerated as a response, which only further destabilizes their lives. And “failure” is indeed common: Only about 36% of people successfully completed a term of probation, and 62% completed parole, in 2024. 19

Correctional control is practiced at an enormous scale in the United States, too often shuffling people back and forth between detention, incarceration, and supervision to the detriment of community health and public safety. It’s important for all jurisdictions to implement reforms to reduce and avoid correctional control as safely, efficiently, and as quickly as possible. Since community supervision is, like most of the criminal legal system, almost entirely a state and local affair, more accurate state-specific data (like those we’ve provided in this briefing) can help us see how the myriad supervision systems have developed over time. For those states that have genuinely reduced the burden of community supervision, it is worth understanding whether they can share lessons with other states, especially if they have been able to reduce incarceration as well.

Data and methodology

For this briefing, we collected comprehensive historical community supervisions statistics for each state. We compiled, or estimated when necessary, community supervision data comparable both across states as well as within states over time. The primary data for this briefing comes from the U.S. Department of Justice, Bureau of Justice Statistics (BJS) Annual Surveys of Probation and Parole (ASPP). Data like these have been collected for almost half a century, but the sampling and methodology have changed over time. When we identified inaccurate ASPP data, we discarded them, making adjustments and corrections with historical data from state or even local sources in some cases. 20 We also sought to include misdemeanor probation and private probation. 21 To obtain historical data from states, we used public records requests, data reports, and agency media inquiries as well as archival materials. 22 If no other data point was available and we could not be confident in the original source, we estimated or interpolated as needed.

These corrections and adjustments address inaccuracies as well as changes in counting or estimation practices in the ASPP. In sum, we’ve made a lot of corrections to some states and present a new way of looking at changes in probation and parole over time. The following table indicates the states for which we have made corrections to their data series:

Which states have probation data corrections?

Table 2. States with historical data corrections. Alaska, Idaho, Nevada, and West Virginia have known data issues but as of yet are unresolved.
State Note
California Minor corrections using state data
Georgia Minor corrections by discarding data that is known to have not counted private probation cases
Illinois Substantial corrections to historical series; corrections to enable comparisons using active caseload data as well as corrections to account for missing Cook County data.
Indiana Minor corrections using state data
Kansas Substantial corrections to recent data
Maryland Corrections using state data
Massachusetts Corrections using state data
Michigan Corrections to older data using state data
Minnesota Corrections using state data
Mississippi Corrections using state data
New Hampshire Minor correction using alternative Bureau of Justice Statistics data
New Jersey Corrections to enable comparisons using active caseload data
New York Corrections using state data
Ohio Minor corrections to older data
Oklahoma Substantial corrections including estimation to account for private probation and local District Attorney supervision
Oregon Corrections using state data
Pennsylvania Corrections to enable comparisons using active caseload data
South Carolina Corrections using alternative Bureau of Justice Statistics data
Tennessee Substantial corrections to account for historical local and private probation data
Utah Corrections to recent data, more data on local and private probation needed.
Virginia Substantial corrections to account for local probation.

While we have done our best given the constraints, a handful of states like Alaska, Idaho, Nevada, and West Virginia still have data with unresolved questions, especially due to limited coverage of people on lower-level misdemeanor probation. For those states, we remain cautious of the reliability of their estimates, and hope to eventually improve those with new information when it becomes available. Please contact us if you have any updated or improved data, and we will do our best to include it.

Data sources and methods

Compiling historical community supervision data from the Bureau of Justice Statistics (BJS) required drawing from a range of sources. Together, these sources provide a high-level overview of community supervision in each state over the decades.

For this research, however, we wanted to look at the data more closely. We started by comparing the two counts of probation and parole populations BJS publishes as “year end” data for each year in consecutive annual reports: a count for December 31 of a given year, and another for January 1st of the following year (i.e., the following day). 23 Comparing these numbers can reveal dramatic changes, which often signal issues with the data. (Substantial changes from December 31 to January 1 generally would not reflect policy change or reform, and instead point towards some combination of delayed data gathering or reporting from agencies that respond to the survey, shifts in data definitions, expanded sample coverage, or other methodology changes. Depending on the year, these may not be described in detail in the BJS reports or datasets.) Where we saw inexplicable differences between the December 31 and January 1 counts, we then tracked down state or local data sources that could fill in the gaps. This led to major corrections in some states.

These kinds of data corrections are especially important for anyone trying to track the impacts of policy change or continuity. Errors may persist in states that do not provide public data on probation or parole, that fail to track information about misdemeanor probation or pretrial supervised release, or that fail to track people who are supervised by private probation firms. Again, please reach out to us if you have any updated or improved data, and we will do our best to include it.

Bureau of Justice Statistics community supervision data

To make the data series, we combined BJS data sources for community supervision as follows:

  • For probation data from 1977 to 1992, we manually compiled information from archived annual reports into a single table. 24 For parole data, a BJS spreadsheet report from 2013 collected information from 1975 to 2012, eliminating the need for manual data entry.
  • Then, we selected relevant information from each individual year public-use data files for the Annual Surveys of Probation and Parole (ASPP) from 1994 to 2018 available from the National Archive of Criminal Justice Data.
  • Finally, we used state-level data tables from more recently published reports covering from 2019 to 2024.

In most Prison Policy Initiative analyses, we use the total number of people under supervision derived from an end-of-year count, but following BJS guidance, we used the most recently-published versions where possible. 25 In other words, we would take a January 1, 2010 number to stand-in for end-of-year 2009. The one exception was that we used the December 31, 2024 data for end-of-year 2024 (the 2024 report is the most recent available as of publication).

Supplemental data

Resident population data

For calculating rates per 100,000 residents in each state and year, we used annual resident population estimates based on U.S. Census population data processed for researchers by the National Cancer Institute’s SEER program, covering 1969-2024. Data are reported at the county level by year and we summed to the state level.

Incarceration data

For the incarceration data used in state-by-state graphics and published in the tables, we combined data from various sources on state prisons, local jails, and the federal incarceration system, which we detail below. Apart from the distinctive federal system and the District of Columbia, there are two main types of incarceration regimes in the states. In 44 states, there are separate locally-operated jails for people who have been arrested and are facing criminal charges or short sentences, and there are state-operated prison systems for people with longer sentences. Six states (Alaska, Connecticut, Delaware, Hawai\0x02BBi, Rhode Island, and Vermont) have “unified” state-operated prison systems that also provide jail-like pretrial detention. 26 The District of Columbia was a unified system in practice until a 1997 law change, then became a unique, local-jail-only system, with anyone with a longer sentence doing their time in a federal prison. 27 Incarceration via the federal criminal legal system involves both the Bureau of Prisons (BOP) for longer sentences and detention and shorter sentences arranged by the U.S. Marshals Service (USMS), which takes place in local jails as well as federal, private, and state prisons.

For each state, we combined incarceration data on state prisons and local jails, making sure to avoid double counting if a state held people for the state prison system in jails. 28 Similarly, we removed people incarcerated by federal agencies from local jail counts in each state, using data from our 2024 briefing. 29

We use state prison data from BJS primary sources like the 1978-2023 National Prisoner Statistics (NPS) file published in April 2026, and make adjustments to statewide local jail counts using these data as well. For the number of people in jail from 1970 to 2019 in 44 states, we use archived data published in May 2025 from the Vera Institute of Justice’s Incarceration Trends Dataset, a data source that combines BJS data collections on jails and other sources. In many states, we only have total incarceration data through 2019 because that is the year with the most recently-published statewide jail data for all states from the BJS Census of Jails. BJS has still not published the data file for the 2024 Census of Jails, but we were able to get comparable data for some states from other sources. For some states, statewide jail data is available for 2020-2024 and was published in Vera’s People in Jail and Prison in Spring 2021 and People in Jail and Prison in 2024 reports.

For states with unified state-local incarceration systems, we use National Prisoner Statistics (NPS) data for total incarceration numbers. For the District of Columbia, we compiled and combined data from a variety of sources. 30

For federal incarceration, to properly account for the overlap between U.S. Marshals (USMS) and the BOP, we use the data provided in the NPS to split the federal prison jurisdiction count into two parts: (1) people sentenced to a year or more, and (2) the jail-like portion of people that are either unconvicted or sentenced to less than a year. That jail-like portion of the BOP generally covers people also under USMS jurisdiction, but is an incomplete count of people incarcerated or detained by USMS because it is only those held in BOP facilities. So, we discarded that NPS partial count and collected data on the full scope of USMS detention from various historical documents. 31 The resulting data better represents the various parts of the state and federal criminal legal and immigration detention systems.

How we identified and corrected community supervision data

BJS annual reports and datasets usually contain state-specific notes indicating changes in reporting or other issues that might impact comparability. After a careful review of these notes, we realized that some data may have been erroneous estimates or reflected major changes in data reporting or counting practices but not underlying caseload changes. In recent years, not all large changes were explained with notes. Additionally, in reports for 2023 and 2024, we identified mathematical errors in some appendix tables, which incorrectly calculated percent changes in the number of people on probation in some states. 32 In order to address these problems, we looked at the year-over-year data and compared the trend lines to alternative sources of information. We also contacted BJS staff with questions, and sought data directly from state agencies that respond to the Annual Surveys of Probation and Parole (ASPP).

  • two graphs showing changes in probation population estimates in Virginia and Pennsylvania due to methodology changes
  • two graphs showing how other sources can fill gaps from methodology change sin probation data collection in Virginia and Pennsylvania
  • two graphs showing how missing data leads to misleading errors in probation population estimates in Massachusetts and Minnesota
  • two graphs showing how other sources can fill gaps from methodology change sin probation data collection in Massachusetts and Minnesota

Slideshow. Examples of data issues that can arise in Bureau of Justice Statistics publications and how they can be addressed using supplemental state data

  • two graphs showing changes in probation population estimates in Virginia and Pennsylvania due to methodology changes
  • two graphs showing how other sources can fill gaps from methodology change sin probation data collection in Virginia and Pennsylvania
  • two graphs showing how missing data leads to misleading errors in probation population estimates in Massachusetts and Minnesota
  • two graphs showing how other sources can fill gaps from methodology change sin probation data collection in Massachusetts and Minnesota

After these reviews identified problem areas, we moved forward in one of three ways: using an alternate source, discarding and interpolating, or using the best available data to construct an estimate.

  1. Alternate source. Often, a state agency maintains its own public records that can provide an accurate alternative to an erroneous BJS number.
  2. Discard and interpolate. In some cases, if there was no other source of information, the bad value could be replaced using prior and subsequent data that were believed to be accurate.
  3. Estimation with best available data. This approach is most commonly used for probation counts in states with separate state systems for felony probation and local systems for misdemeanor probation, and no central data reporting or case management system. We use whatever data sources are available to construct annual estimates. In those cases, we may still be missing some piece of the puzzle, like a current private probation count, but we estimate using data that is on hand.

As described below, some state data series might have more than one kind of correction.

Addressing double counting of people with more than one correctional status at a time

For the small pie-chart graphic, we adjust for double counting that could happen due to people having more than one correctional status at a time, such as being on probation and parole simultaneously. We count people with more than one status in their most restrictive category, with probation counted as the least restrictive and imprisonment as the most restrictive.

The “all other” incarceration category on that pie chart includes immigration detention, involuntary commitment, territorial prisons, jails in Indian country, and military facilities.

For the historical tables and graphics, we do not make adjustments for people with dual status cases. Data on these dual status cases are not reliably available for each state over time, but in cases where we do have detailed data, the percentage is usually quite small. Many states do not have capacity to report this information, and thus corrections (if any are made) would be for a subset of states. Since our other publications involving more recent data make adjustments to address people that may be on both parole and probation, there may be some differences in this report.

State-specific notes

For each state listed below, we provide notes on any corrections that we have made to probation or parole estimates.

California

Probation counts for the entire series are sourced directly from California Department of Justice statistical reports or open data. From 1978-2001, we use the statewide totals from Table 41 Adults on Active Probation as of December 31, 1966-2015 published in Crime in California 2015. For 2002-2024, we use the county-level Adult Probation data reported in California’s Open Justice data portal, summing Felony and Misdemeanor counts for the beginning of January in the following year, within each county, and then to the state level. This allows us to identify any counties that have need for further corrections: San Francisco reported no probation data for 2002-2005, so we use 2006 values to stand in. We replace San Joaquin County’s 2002 value with the 2003 number, and for San Bernardino County’s in 2014, we use the end-of-year number from December instead of the start of January 2015.

Delaware

The 2023 BJS report on probation shows an unexplained 85% rise in the number of people on probation from 2022 to 2023 that is not reflected in the Delaware Open Data on community supervision.33 Because the issue appears to have been resolved in 2024, we use the December 31, 2022 count for year-end 2022, and the January 1, 2023 count for year-end 2023.

Georgia

Georgia counties started using private probation agencies in 1992. BJS only started collecting data covering people under Georgia’s private probation supervision in 1999. Thus, we exclude data from BJS reports for 1992-1998 for Georgia and interpolate to replace year-end estimates from 1992 to 1997. As an example of the scale of the problem: the number of people on probation in Georgia for December 31, 1998 was reported at 151,865. On January 1, 1999, when private probation was included, the number of people on probation was reported at 278,669. We use this number for year-end 1998. This addresses a problem in the 1990s, when private probation growth was not accounted for, but there are other known issues with Georgia’s probation data.

As BJS has acknowledged, Georgia’s probation rate is likely inflated by duplicated records.34 That’s likely because people with multiple private probation cases, or cases in more than one of the 159 counties in the state, get counted twice or more. Georgia has many small counties, and it’s relatively common to have a case in more than one county. We have not made any corrections to account for this, but if we could reduce the number to address the problem, it could make a big difference because the probation rate is so high in Georgia and it is a relatively large state.

Illinois

For Illinois, we took care to harmonize data over the years to ensure that it measured supervision consistently, including both people supervised on pretrial release and sentences to probation, and not counting people on administrative-only probation. We took special care to confirm that probation in Cook County (Chicago) was accurately counted, cross referencing numbers in the Administrative Office of the Illinois Courts data submissions to the Bureau of Justice Statistics with Cook County budget data.

Illinois probation data in BJS reports over the years are especially complicated because of shifting definitions that include (and then exclude) people with administrative-only probation cases, and problems with delayed statistics from counties across the state leading to inaccurate publications. This is especially an issue for data from Cook County, where the number of people under misdemeanor probation supervision or pretrial release make up a relatively large portion of people under community supervision in the state. Fortunately, the Administrative Office of the Illinois Courts publishes detailed probation data for each year, and publishes the data that they submit to the Bureau of Justice Statistics.35

In most, but not all, years from the 1980s through the end of 2016, BJS counted both people on active as well as people on inactive, administrative-only probation. This changed in the combined 2017-2018 probation report, when BJS stopped counting those administrative cases in the probation total for December 31, 2018, reporting the active probation number as the total number for December 31, 2018.

Under the new counting rules for 2018-2021, BJS published data that almost exactly matched the report that was provided by the Administrative Office of the Illinois Courts. They combined the number of people on active adult probation population with those on pretrial supervision, per the usual counting rules, and did not count anyone with an administrative-only case.

Meanwhile, starting in 2010 and continuing through the end of 2021, Cook County’s misdemeanor probation agency tended to report lower caseloads than were actually supervised. A review of budgets for the county’s Social Service Department indicates no substantial caseload drop off in this period, but statistics published by the Administrative Office of the Illinois Courts do show a substantial decline in 2010, followed by a spike in 2022. These changes reflect differences in reporting, not substantially different numbers of people on probation or community supervision.36

Finally, in 2023 and 2024, BJS departed from the standard measures and narrowed the definition again, excluding people on pretrial supervision that previously had been counted. (Some of this may have been due to delayed reporting by courts across the state.) Fixing the data to make it comparable required getting an estimate for Cook County misdemeanors, counting pretrial supervision, and making an adjustment to remove people on inactive probation supervision in earlier years (1980s and early 1990s).

Indiana

Detailed, court-level and statewide probation statistics are published annually by the Indiana Judicial Branch through their Judicial and Probation Reports. We use their January 1 count to represent the year-end count for the prior year. These corrections involved only minimal changes to the dataset, and were done for 2003-2024.

Kansas

Kansas probation data had errors in the 1980s and early 1990s as well as from 2022-2024. In notes for the 1993 BJS report, Kansas indicated that they had reported 6-7,000 youth cases, and had been reporting youth cases previously. To correct for this, 6,500 cases were removed in 1993, and we scaled this to remove a portion of cases from 1987-1992 to taper this reduction down to zero.

In the 2024 BJS Probation and Parole report, Kansas had the largest decline in people on probation, from 13,670 on January 1, 2024 to 9,050 on December 31, 2024. This did not seem plausible so we reached out to the Kansas Department of Corrections and the Kansas Judicial Branch to confirm; they explained that the issue was from a data system migration and not a reduction in caseloads. If anything, caseloads will likely be reported at higher levels in the future. Thus, to smooth out the state’s trendline, for year-end 2022, we use the December 31, 2022 count, and for year-end 2023, we use the December 31, 2023 count. We carry forward the December 31, 2023 count for year-end 2024.

Maryland

The numbers of people on probation in Maryland for 2011-2024 were calculated using data provided by the Maryland Department of Public Safety & Correctional Services in response to our public information request. Because the data were for fiscal years 2011-2025, we adjusted to reach end-of-year estimates. For example, for year-end 2024 we applied the percentage of overall cases supervised that were probation to the total numbers of supervision cases at the end of fiscal years 2024 and 2025, and took the average. We then added to this figure the average of the Drunk Driver Monitoring Program’s caseload counts for end-of-fiscal years 2024 and 2025.

Massachusetts

The data for 1980-1984 and 2002-2008 were not comparable to other years,37 so we discarded them and interpolated data for 1979-1985 and 2001-2009. Then, noting inaccurate estimates in BJS’ 2023 Probation and Parole report for year-end 2022 and 2023, we instead use data from the Massachusetts Probation Services Research Department’s Caseload Review dashboard (excluding juvenile cases).

Michigan

Probation data prior to 1985 were not comparable to later data, so we replaced them with values that reflected interpolated growth from 39,875 in 1978 to 99,365 in 1985.

Minnesota

The year-end 2020-2024 counts of people on probation come from Department of Corrections’ 2024 Probation Survey (excluding juvenile cases). This addresses an imputation problem in the 2022 BJS report for Minnesota.

Mississippi

For 2022-2024, we replaced the counts of people on probation with estimated values based on numbers from the Department of Corrections from early January of each year. To account for the difference between BJS definitions and the Department’s, we added to those January numbers the average difference between the state report count and BJS report count from 2017 to 2022.

New Hampshire

Noting unexplained low numbers for the state in the 2020 BJS Probation and Parole report, we use the December 31, 2019 count for year-end 2019 instead of the January 1, 2020 count.

New Jersey

Notes on probation data for New Jersey in BJS’s 2015 and 2023 reports indicate that shifting reporting practices and definitions make the topline number of people on probation incomparable over time. Specifically, we see a large increase between the 2014 and 2015 report, and a 77% decrease (from 123,300 on December 31, 2022 to 28,170 on January 1, 2023) between the 2022 and 2023 reports. To correct for this and construct a roughly comparable set of data, we use the archived BJS data that indicates how many people were on active probation supervision in New Jersey at year-end 1989 and 1992-2014. This makes the data comparable with the numbers published in the 2023 and 2024 reports. (We discard data for 1988 and 1990-91, when active probation supervision was not published.) Because of changes that started in the 2015 BJS data collection, we calculated the difference between the overall probation count for January 1, 2015 (137,124) and the active probation supervision count in 2014 (43,901). This difference of almost 80,000 is the extent of the definition shift between 2014 and the 2015-2020 period. Thus, we subtract that difference from the topline reported probation counts for 2015-2020 to calculate our estimates. Starting with year-end 2022 (measured as January 1, 2023), we use the BJS reported number for New Jersey.

New York

Statistics on probation in New York State are collected by the Division of Criminal Justice Statistics (DCJS), and end-of-year counts of people under supervision are published each year. These numbers are more consistent than the numbers published by BJS, which have within-year fluctuations that are not substantiated by subsequent reports. This data from DCJS also helps to address a problem related to counts of probation cases versus counts of individual people on probation. While corrected by the state in submissions to BJS in 2003, the numbers throughout the 1990s and early 2000s reported by BJS are substantially inflated and do not represent accurate counts of people on probation. Thus, we turned to DCJS and found that the peak probation count in the state was in 1998 at nearly 139,000.38 Because we lack specific estimates for 1987 through 1997, we use linear interpolation between 1986 and 1998.

Ohio

Because of definition changes that make the data not comparable, we adjusted the counts for 1978 and 1979, and then replaced 1980-1983 with interpolated values.

Oklahoma

No central agency in Oklahoma is responsible for data collection, and data reported to BJS shifts definitions over time and is not internally consistent without corrections. The state Department of Corrections (DOC) supervises most people sentenced with felony probation; others may be supervised by municipal courts, District Attorneys, and private probation agencies. BJS reports have not reliably presented data on all parts of this system, and historically, they have generally understated the number of people on probation in Oklahoma. We combine the BJS data on state felony probation and some misdemeanor probation agencies with our estimate of District Attorney probation to create an estimate covering those types of probation for 2006-2024.

Oklahoma District Attorneys operate local probation (known as DA Supervision), which is a large share of probation in the state. DA Supervision programs were authorized and first started in 2005, and in Oklahoma City, DA supervision has crowded out DOC probation as the preferred form of sentence.39 DA supervision is possible for anyone not committed to the Department of Corrections, and both felony and misdemeanor convictions are eligible. It is unclear to us whether BJS has ever tried to collect data on DA Supervision populations. We use charts from state budget requests and other documents showing supervision fee revenues to deduce a lower-bound estimate of people on DA supervision in each year.40

Municipal courts also oversee probation, and BJS does seem to collect data from them, in recent years in particular. Private probation also operates in the state, sometimes via municipal courts. These cases are not collected anywhere that we can find in public reports. Our estimate combines the BJS data on state felony probation and some misdemeanor probation agencies with our estimate of District Attorney probation.

Oregon

The Oregon Department of Corrections maintains statewide statistics on people under community supervision, from parole and post-release supervision to probation, diversion, and conditional discharge. They provided January 1 counts from 1998 to 2025, which we used as year-end probation counts for 1997 to 2024. The result is quite similar to the BJS probation series but substantially corrects BJS data irregularities in 2017 and 2022-2024.

Pennsylvania

Our estimate comes from data published by two state agencies: The Pennsylvania Commission on Crime and Delinquency’s annual report on Pennsylvania County Adult Probation and Parole (which includes 117,000 people on probation, probation with restrictive conditions, accelerated rehabilitative disposition, pretrial bail supervision, as well as roughly 12,000 absconders from probation), and the Department of Correction’s (DOC) Monthly Parole Statistics report (which includes about 5,000 people on special county probation).

Pennsylvania provides community supervision through county agencies as well as the state department of corrections, and is currently undergoing substantial reforms after Act 44 was passed in 2023. Unlike most other states, the state DOC provides both probation and parole, as do county agencies. The counties also provide other kinds of community supervision, such as pretrial bail supervision, accelerated rehabilitative disposition, and county probation without verdict. In order to better understand trends in community supervision in Pennsylvania, we calculated estimates directly from state statistical reports from the Department of Correction, the Board of Probation and Parole, and the Pennsylvania Commission on Crime and Delinquency. That is because BJS has shifted between different definitions over the years, dropping substantial numbers of people that were still under probation supervision.

From 2004-2019, it appears that BJS had been counting a wider range of statuses as being on probation: county probation, county intermediate punishment (or restrictive conditions), county accelerated rehabilitative disposition, county probation without verdict, county pretrial bail, absconders on those statuses, plus inactive county probation, as well as the DOC’s special probation. From 2020-2023, the count narrowed to ignore people on restrictive conditions, county accelerated rehabilitative disposition, county probation without verdict, and county pretrial bail, and appeared to count people on probation from other states supervised by the Pennsylvania DOC. This means that the BJS count for people on probation in Pennsylvania dropped 42% from 172,052 on December 31, 2019 to 99,798 on January 1, 2020. BJS maintained this narrower definition of probation in 2021-2024.

In order to make a comparable data set, we use a more comprehensive definition that counts people on county probation supervision under a broad set of statuses: restrictive conditions, county accelerated rehabilitative disposition, county probation without verdict, and county pretrial bail; however, we do not include those on inactive probation. This provides a count that is substantially higher than the most recent BJS estimates.

South Carolina

Our estimates for South Carolina probation are modified for a few years: for year-end 2006, we do not rely on the January 1, 2007 number of 43,284 people on probation published by BJS and instead use the December 31, 2006 number of 38,353. In 2010, South Carolina revised their reporting methods and submitted updated data correcting January 1, 2009 from 40,621 to 35,165. Because there are no updated data for year-end 2007, we estimate it as the average of January 1, 2009 and December 31, 2006 (36,759).

Because of a large unexplained increase in the number of people on probation reported in the 2023 BJS Probation and Parole report, we use the December 31, 2022 count instead of the January 1, 2023 count.

Tennessee

In Tennessee, people on felony probation are usually supervised by the Department of Correction. Additionally, in 1985 the state created a “Community Corrections Program” that covers people charged with a non-violent felony. That supervision is done by a variety of agencies: county agencies, nonprofit organizations, and human resource agencies (quasi-governmental agencies that provide social services created pursuant to the Human Resource Agency Act of 1973). The community corrections programs have statistical reporting obligations, and the Department of Correction produces regular reports on the number of people under their supervision.

For people convicted of misdemeanors the probation system is more complicated. There are no statewide statistical reporting obligations, and it does not appear that the Administrative Office of the Courts has reliable information on misdemeanor cases. The 1985 Community Corrections Act and the 1989 Criminal Sentencing Reform Act both encouraged the creation of probation options at the local level, especially for people who would otherwise be incarcerated in a jail for a misdemeanor. The law also allows private probation firms to operate in the state. In some counties, private agencies operate as the sole probation authority; in others, they operate as a supplemental agency. In addition to private firms there are county agencies and the quasi-governmental human resource agencies.

Thus, for Tennessee, we estimate the number of people on probation in local agencies as well as private probation firms for the years 1992 through 2024. For 2000 through 2024, we have been able to collect supplemental data. State probation data for felony charges is from the Tennessee Department of Correction’s Felon Population Update for Probation and Community Correction. Misdemeanor probation is run by local governments, who can operate their own probation agency or contract with a private firm; BJS started collecting publicly-run local probation data, but they do not collect private probation data.

For 2006-2023, we can directly estimate the private probation counts using data about fees paid to the Tennessee Department of Commerce and Insurance’s Private Probation Services Council. The FY 2006-2015 data are from the 2018 Human Rights Watch report on private probation, FY 2014-17 data are from a 2018 state audit, and 2019-2023 are from a 2024 state audit. We interpolate 2018 using 2017 and 2019 data, and carry forward the 2023 estimate for 2024. Leveraging sample changes in BJS data collection from 2022 to 2023 (when they began collecting data from local public agencies), we were able to estimate local public probation in the state for year-end 2023 and year-end 2024, and then used these data to backfill an estimate of total local probation (both public and private).

Probation data prior to 1983 were largely undercounts and not comparable to later data, so we interpolate the data from a rough estimate of 13,500 for 1978 to 23,300 in 1983.

Utah

In Utah, probation is provided by the state corrections department, local agencies, and private probation firms. It appears that the number of people on probation in Utah has been understated for many years, possibly until very recent Bureau of Justice Statistics reports. For many years, BJS only collected data from the Utah Department of Corrections (DOC), Adult Probation and Parole, which supervises most felonies and some serious misdemeanor cases. Utah authorized private probation firms in 1990 but these have never been tracked by the Bureau of Justice Statistics. Within Utah, there appears to be no reliable centralized source of information on the private probation data, and the state does not have infrastructure currently in place that collects the monthly reports that private probation firms are required to provide to sheriffs listing information on all people supervised. Further, local probation agencies have been created within the last decade and are not well understood or regulated, sometimes developing informally within a sheriff’s department unit, taking on felony cases and seeking to supplant the state’s Adult Probation and Parole (Cache County), other times within a county’s Department of Human Services (Salt Lake County).

Because Utah has such sparse data, we removed the most recent BJS data for 2022-2024 and replaced it with the number of people on probation supervised by the Utah DOC Adult Probation and Parole. This is a clear under-estimate, but it allows for historical comparison. It seems likely that this will change in the future, and we hope to update these data when more information is available.

Virginia

Our estimates account for both state and local supervision. BJS began collecting local probation data in recent years, so we attempted to collect more historical data. State probation counts are from the Department of Corrections and local probation counts were obtained via FOIA from the Department of Criminal Justice Services. We combine the local probation and state probation estimates for 2010-2024, and then smooth the line from 1997 to 2010.

Read the entire methodology

State graphs

The graphs made for this briefing are included in our profiles for each state:

and are available individually from this list:

Federal counts over time
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Footnotes

  1. The primary source of community supervision data, the Bureau of Justice Statistics’ Annual Surveys of Probation and Parole (ASPP), has been systematically excluding data on private probation and much of misdemeanor probation for decades. Recent improvements to the ASPP expanded collection of misdemeanor probation data but make trend analysis over the years impossible in many states without additional archival data collection. For more on this, see the data and methodology section.  ↩

  2. In 2009, there were 4,973,005 people on probation and parole in the United States. By 2024, that number fell to 3,813,420 — a decline of 23%. Because of growth in the general population, the rate fell by an even wider margin of 31%: between 2009 and 2024, the rate of people on community supervision declined from 1,621 to 1,121 per 100,000 residents.  ↩

  3. The South region includes Alabama, Arkansas, Delaware, the District of Columbia, Florida, Georgia, Kentucky, Louisiana, Maryland, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia, and West Virginia.  ↩

  4. The Northeast region includes Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, and Vermont.  ↩

  5. The West region includes Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming.  ↩

  6. The Midwest region includes Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin.  ↩

  7. These jurisdictions included the District of Columbia plus Georgia, Idaho, Indiana, Michigan, Minnesota, Ohio, Pennsylvania, Rhode Island, and Texas. In addition, Delaware was close at 1,946 per 100,000. See the appendix tables and methodology for more information.  ↩

  8. Only six states had increased supervision rates between 2009 and 2024, and they ranged from 11% to 57% increases. The six states were Arkansas, Iowa, Mississippi, North Dakota, Nevada, and West Virginia. The number of people supervised by Utah’s state probation agency declined by 19%, but overall it may deserve to be on this list due to expanded local community supervision in the wake of a Justice Reinvestment Initiative reform in 2015. Questions remain about the comparability of the data because of expanded Bureau of Justice Statistics coverage of local probation agencies in the state. For more details please see the appendix tables and methodology.  ↩

  9. Oklahoma’s community supervision rate was 1,246 per 100,000 residents in 2009 and declined 2% (to 1,225) in 2024. Illinois went from 1,019 per 100,000 residents in 2009 to 989 in 2024, a reduction of 3%.  ↩

  10. In our two-part report on parole systems, we explain that parole hearings and releases have been slowing in dozens of states, lowering parole rates as people remain locked up instead.  ↩

  11. These estimates come from the National Survey on Drug Use and Health, which asks respondents questions about whether they have been under community supervision within the last year, such as having been on probation, parole, or supervised release. We combine respondents who indicate having been on probation at any time during the past 12 months with those that were on parole, supervised release, or other conditional release from prison at any time during the past 12 months. Because of the 12 month look-back period, these counts would be slightly higher than a single-day count of people on community supervision.  ↩

  12. In 2009, there were an estimated 6,589,000 people who had been under community supervision in the last year, and 2,813,000 (43%) were aged 25 or younger. These estimates are calculated from the public-use data files for 2009 and 2024 National Survey on Drug Use and Health, which asks respondents questions about whether they have been under community supervision within the last year, such as having been on probation, parole, or supervised release.  ↩

  13. According to the National Survey on Drug Use and Health, in 2024, there were an estimated 4,025,000 people who had been under community supervision in the last year, and 976,000 (24%) were aged 25 or younger.  ↩

  14. In 2009, an estimated 719,000 people aged 50 years or older had been under community supervision in the last year, compared with 732,000 people in 2024, according to the National Survey on Drug Use and Health.  ↩

  15. For a broader discussion of legal financial obligations and monetary sanctions, see, Studying the System of Monetary Sanctions.  ↩

  16. For example, Colorado’s counties provide probation but may also contract with private probation firms that provide “supplemental” services like alcohol monitoring (SCRAM) devices for people convicted of driving under the influence. In Cleveland County, Oklahoma, people can sometimes secure pretrial release without bond via a private pretrial services program with daily fees.  ↩

  17. Email on file with author. According to Human Rights Watch research and an under-inclusive probation landscape document from the National Association of Counties and Pew, misdemeanor probation involves private probation agencies in Arkansas, Florida, Georgia, Kentucky, Missouri, Montana, North Dakota, Tennessee, Utah, and Wyoming. Colorado’s supervision of cases deemed low risk may be handled by private probation agencies. Oklahoma as well as Alabama and Mississippi have or have had private probation firms as well.  ↩

  18. At year-end 2018, 10 states had less than 1% of supervised people on dual status, and 11 states had none. Three states and D.C. had meaningful numbers of people on probation who were also on parole: Idaho with 49% of people on probation on parole, New Mexico with 9%, Arkansas with 4%, and D.C. with 3%. But this picture is incomplete: 26 states and the federal government provided no response to the question on dual status.  ↩

  19. These numbers reflect the share of probation exits (people coming off probation) that were successful completions, and parole exits that were successful completions from the BJS report, Probation and Parole in the United States 2024, appendix table 9 and appendix table 12.  ↩

  20. As one example, BJS expanded the Annual Survey of Probation starting in 2022 to cover more probation agencies. This expanded sample better captures information about people on probation supervision for lower-level misdemeanor cases. Yet, this expansion makes many states’ recent data quite different from earlier years when misdemeanor probation data may not have been collected, but did exist.  ↩

  21. Information in the Human Rights Watch reports on private probation helped point to sources that could be used in states with private probation systems. Those are from Profiting from Probation: America’s “Offender-Funded” Probation Industry (2014) and Set up to Fail: The Impact of Offender-Funded Probation on the Poor (2018).  ↩

  22. Publicly available sources ranged from state court system annual reports (Illinois or Indiana), state budget presentations (Oklahoma), Department of Corrections websites (Minnesota), private probation agency regulators (Tennessee) or attorney general open data (California). Archival materials ranged from state-specific resources like the New York State Archive’s collection of agency-specific websites, or general resources like the Internet Archive’s Wayback Machine. See complete state-level data notes.  ↩

  23. For example, the 2023 Probation and Parole in the United States report provides a count for December 31, 2023, and the 2024 report provides a separate count for January 1, 2024 — the very next day. BJS suggests using the newer January count to represent the year-end 2023 population, since it reflects any updates they’ve made since the prior year’s report.  ↩

  24. For reports covering 1981-82, 1984-88, and 1990, see the BJS Annual Probation Survey website.

    For 1978, 1979, 1983, 1989, and 1993, see State and Local Probation and Parole Systems, Probation in the United States, 1979, Probation and Parole, 1983, Correctional Populations in the United States, 1989, Correctional Populations in the United States, 1993.

    Data for 1991 do not appear to have been published.
     ↩

  25. See the note on the Bureau of Justice Statistics’ 2013 parole table, describing this practice of using the January 1 following-year data to update a December 31 prior-year count.  ↩

  26. Some communities in Alaska also operate jails, but these hold a very small number of people compared to the state system.  ↩

  27. This 1997 law, known as the National Capital Revitalization and Self-Government Improvement Act, had a four-year phased implementation. The District closed seven prison facilities by 2001, mostly at the Lorton Complex in Virginia.  ↩

  28. The standard BJS jail statistics report the number of people in custody of local jails, regardless of the reason for their detention or incarceration. Since jails can incarcerate significant numbers of people on a contract basis for state prisons or federal authorities, we make adjustments to get estimates of people held under the jurisdiction of jail authorities (held on local or state charges or serving a local sentence).  ↩

  29. This means that we need to separate out people held in jails for state prison systems or federal agencies, such as the U.S. Marshals Service, Immigration and Customs Enforcement, the Bureau of Prisons, and the Bureau of Indian Affairs.  ↩

  30. For District of Columbia incarceration data, from 1978-2001, we use the National Prisoner Statistics dataset because it provides jurisdictional population counts for all facilities operated by the District, including the jail-like facilities. For 2002-2024, we use various reports from the District of Columbia’s Corrections Information Council, the Criminal Justice Coordinating Council, and the Department of Correction. We also supplement with data from the BJS Federal Justice Statistics series, which provides information on people sentenced to federal prison from the D.C. district court.  ↩

  31. USMS average daily detention populations for 1984-1992 are from a report in the December 1993 issue of Federal Probation; 1994-2011 are from the Office of the Federal Detention Trustee; 2012-2024 are from USMS annual reports for 2015-2024. We interpolated 1993 data.  ↩

  32. For example, in the Probation and Parole in 2024 report, appendix table 6, Adults on probation, by jurisdiction, 2024 shows that Kansas had 13,670 people on probation on January 1 and 9,050 people on probation on December 31. The report’s change column indicates that the number decreased by -50.9%. The actual percent change using the numbers reported in the table (4,610 divided by 13,670) was -33.7%.  ↩

  33. For Delaware Open Data we use the number of people by type of institution and include people with community supervision statuses ranging from probation to home confinement, restitution, and work release.  ↩

  34. See the probation data note for Georgia in 2015’s Probation and Parole in the United States: “Probation counts may overstate the number of persons under probation supervision because the county data collection has the capacity to report probation cases and not the number of persons under supervision. Probationers with multiple sentences could potentially have one or more cases with one or more probation agencies in one jurisdiction or one or more probation agencies in different jurisdictions.”  ↩

  35. For example, see the 2022 Illinois response to the Annual Survey of Probation.  ↩

  36. Budget information for each Cook County agency is published on the Cook County website. For example, see budget documents for 2011, 2015, and 2019.  ↩

  37. See probation notes related to Massachusetts in Probation and Parole 1986, and Probation and Parole in the United States 2010.  ↩

  38. See New York State Criminal Justice, 2007 Crimestat Report, page 36.  ↩

  39. A 2016 report commissioned by the Greater Oklahoma City Chamber of Commerce’s Criminal Justice Reform Task Force in the wake of a jail crowding scandal recommended providing statistics on the number of people on DA Probation. This kind of information was unavailable at the time.

    Across the state, programs ramped up at different times: Tulsa started later, in 2008. There are 27 district attorneys in the state, and it seems that some may not have a probation officer on staff, but still have the ability to charge supervision fees of $40 a month. As of 2019, the law changed to require the fees to be transferred to the state General Fund, and then it is moved back to the DAs.
     ↩

  40. These documents include state budget requests from the Oklahoma District Attorney’s Council in 2014, 2021, and proposed legislation from 2023. We estimate the number of people on DA probation each year by taking the annual revenue reported by the District Attorneys Council (DAC) from monthly supervision fees, dividing by 12 months and then by $40 (one month’s fee) to get the daily average population subject to supervision fees. The most recent available data for 2024 indicated $10,110,749 in revenue, suggesting 21,064 people paying in an average month. However, this would only include people paying, and it appears that some people may have indigent status or do not pay but stay on probation, which makes this estimate a lower bound.

    According to an analysis from the Council of State Governments, during FY 2011, there were 38,836 people on DA supervision, 28% of which were people convicted of felonies. Our FY 2011 paying caseload estimate based on fees is 29,125, and the estimates range from 5,200 in 2005 to 31,200 in 2015.
     ↩

See all footnotes


A recent case, In re Kowalczyk, affirms that money bonds are unfair, harmful, and make communities less safe.

by Sarah Staudt, May 27, 2026

In January 2021, Gerald Kowalczyk, a disabled man experiencing homelessness, found a credit card on the ground in San Mateo, California. He attempted to use the credit card to buy a $7 hamburger, then had a change of heart, asked for a refund, and when the manager refused, left without the hamburger. He was arrested shortly afterwards and charged with identity theft and petty theft. California law would generally not have allowed Mr. Kowalczyk to be detained pretrial on such minor, non-violent charges. But the judge, like too many prosecutors and judges, set an astronomical $75,000 bond in the case, stranding Mr. Kowalczyk in jail for six months before he pled guilty.

On April 30, 2026, the California Supreme Court expanded on a previous case, In re Humphrey, and ruled that Mr. Kowalczyk’s detention was unconstitutional under the California State Constitution because detaining people using unaffordable cash bails is the exact same thing as detaining them without bail, something that can only be done in limited circumstances with rigorous due process protections. Because of this case, unaffordable bail is now never an option in the California courts — if they use monetary bail, courts must set bail at a level that an accused person can pay.

The opinion and concurrence state in no uncertain terms what pretrial reform advocates have been saying for years:

  • Using money to decide who goes to jail and who goes free is a lawless system that puts the opinions of judges and prosecutors above the will of legislatures and the public.
  • Money bail privileges the rich and leaves everyone else stranded in jail.
  • The overuse of pretrial jailing does more harm than good and destabilizes the very communities prosecutors and judges claim to be protecting.

In re Kowalczyk could free tens of thousands of people every year in California, if appropriately implemented. Even though this case can’t be used as binding precedent in other states because its legal basis is specific to the California State Constitution, the court’s reasoning gives excellent examples of how to make these important arguments resonate with policymakers.

When prosecutors and judges use money bail to detain people, they are imposing their own judgements instead of following the law

“Courts cannot use artificially high or objectively unattainable bail as an end run to effectuate pretrial detention where such detention is not authorized under [the California Constitution].” — Majority opinion, p. 32

The debate around cash bail centers around a lesson from Civics 101: separation of powers. Legislatures decide what the law is. Judges then apply that law to individual cases. The Constitution separates these roles because legislatures are best suited to make policy decisions, like the decisions about what charges and situations should and should not make someone eligible for pretrial detention, and how those decisions should be made. Judges ensure that these legislative decisions are carried out in the cases before them.

California, like many states, has a list of offenses that are eligible for pretrial detention (a list that excludes misdemeanors and low-level felonies like the ones Mr. Kowalczyk was arrested for). The state constitution then imposes a series of due process protections to make sure that decisions are made fairly.

Does money bail ever make sense?

The court did make one big misstep, based on the empirical data. It allowed money bail to continue to be used so long as it is “reasonably attainable” by the accused person. But in a rational pretrial system, money bail has no place at all. The research shows that money bails do not successfully change court appearance rates or reduce re-arrest rates. Instead, they drain money from communities — mostly Black and Brown communities — without providing any public safety benefit.

The opinion in Kowalczyk makes clear that when judges — often at the request of prosecutors — use unaffordable cash bail to detain people, they are ignoring these constitutional rules and imposing their own judgments instead. Before this decision, when a judge set an unaffordable bail to detain someone, they didn’t have to go through the due process steps set out by the state constitution, because technically, the person wasn’t being detained. In theory, they could pay money to get out. In practice, however, detaining an unhoused person on a $75,000 bail is the same as saying he can’t be released at all — and that’s exactly what the California Supreme Court recognized in this case.

The takeaway: Advocates throughout the country should look at what their laws and constitutions actually say about who can be detained pretrial, determine whether they think those laws are fair or need to be changed, and then close the loophole of allowing judges and prosecutors to use unaffordable cash bail to ignore the law.

Using money to determine who goes to jail is illogical and unsafe

“A system in which a person’s right to liberty turns on financial resources compromises public safety and raises equal protection and due process concerns.” — Groban concurrence, p. 8

Even if decisionmakers think that pretrial detention of some people is necessary to keep communities safe (more on that below), when judges set unaffordable money bails it produces a fundamentally unfair and illogical system.

First, money bail does nothing to guarantee that a rich person who poses a real threat to the public will actually stay in custody. Conversely, everyday people who do not pose a risk are stuck in jail simply because they can’t afford to pay.

Second, a money bail system provides no meaningful due process protections. There is no requirement that there be sufficient evidence that someone is guilty, no requirement that a prosecutor prove that the person poses a public safety risk, and no examination of whether alternatives other than jail would be appropriate. Instead, the judge simply sets a monetary amount and the person is detained if they can’t pay it. This heightens the risk that innocent or non-dangerous people spend time in jail and encourages hasty, unthinking judicial decision-making that can put communities at risk. Notably, when Illinois eliminated monetary bail in 2023, the length of detention hearings increased dramatically, and judges considered more factors when making their decisions.

The takeaway: Advocates throughout the country should remove money from playing any role in their pretrial release systems, since it doesn’t have any bearing on safety.

The overuse of pretrial detention is actively harmful and doesn’t keep communities safe

“Many people who are detained are never convicted of any crime; a substantial proportion of detainees is never even charged with one. Many others accept unfavorable plea offers, with potentially devastating repercussions for their employment, education, housing, access to public benefits, immigration status, and family stability. And some, forced to choose between remaining detained or pleading guilty to an offense they did not commit, choose to plead guilty to secure their release.” — Groban concurrence, p. 9

Pretrial release should always be the default in the justice system. When someone is first arrested, they have not been proven guilty of a crime, and many people later have their cases dismissed, plead guilty to less serious charges, or are found not guilty. Estimates in some jurisdictions suggest that more than 50% of arrests end without a conviction. Nonetheless, nationwide, over 75% of people in jail custody are pretrial. This huge number of unconvicted individuals in jails makes them less safe environments by contributing to overcrowding.

Pretrial jailing harms people in custody in a number of ways. People detained pretrial are more likely to:

Jurisdictions that have reduced the use of pretrial jailing have not seen any rise in crime. There is simply no evidence-based reason to continue the extremely high levels of pretrial detention that currently exist in the United States.

The takeaway: Advocates around the country should pursue laws that minimize the use of pretrial detention, seek to shrink jail populations, and provide robust due process protections to make sure that people are only behind bars if they truly pose a danger to others or are likely to willfully flee prosecution.

In re Kowalczyk has the potential to free tens of thousands of Californians each year as they are released on their own recognizance — or on money bail levels they can actually afford to pay — instead of being held in custody because they’re poor. The next step for California is implementation. Unfortunately, without rigorous efforts to require courts to follow a ruling like this, it could have little impact, as happened after the In re Humphrey decision. But the reasoning in this case can provide a roadmap for people in other states interested in creating just, fair, and rational pretrial systems.


We've made it easier to access the topline statistics about the criminal legal system.

by Wanda Bertram, May 18, 2026

Through dozens of publications each year, we compile a lot of data. This data is incredibly valuable to advocates, lawmakers, and journalists pushing for change in America’s criminal legal system. But so much information can also be overwhelming.

We just launched a new website feature that puts the most sought-after facts about the criminal legal system at your fingertips. The new “Key Statistics” boxes on our Issue pages highlight some of our most requested data points, organized by topic.

These Key Statistics boxes are the newest addition to our Issue pages, which compile all of our reports, data visualizations, and other resources related to the areas of our work that readers ask about most often:

Looking for a statistic that isn’t on those pages? It may be in one of our reports, or in our searchable Research Library, which holds over 4,000 publications. We’ve also made many of the data sources we use available for download via our Data Toolbox. Readers looking for other information about the criminal legal system can also reach us via our contact page.


Updated data visualizations illustrate the scale of — and disparities within — mass incarceration.

by Leah Wang, April 27, 2026

Here at the Prison Policy Initiative, almost everything we write is accompanied by clear and powerful visualizations that convey the harms of mass criminalization and incarceration. When new data are available, some of our most-referenced charts merit an update. We also occasionally pull together charts at the request of advocates working on specific projects, and share them when we think they may be of use to others. (Get in touch with us if you think our Advocacy department can be of help.)

Below, we are sharing some of these new and updated charts. Where applicable, we have updated the same data in downloadable spreadsheets in our Data Toolbox. Note that we also catalog our visualizations in a handy Visuals Database, where you can explore our charts by topic and link to each chart easily in your own work.

Seeing state, local and federal correctional populations all together

State prisons and local jails are where the majority of incarcerated people are locked up, and state and local policies are what keep so many behind bars. As these charts show, prison and jail populations have rebounded after the pandemic temporarily stalled admissions and accelerated releases — highlighting a serious need for policies that will permanently reduce prison populations. For high-impact state policy ideas, even in times of turmoil, see our guide to winnable criminal justice reforms.

  • Chart showing the growth of incarceration rates in local jails, state prisons, and federal prisons from 1925 to 2023. Most people are incarcerated in state prisons — over 300 per 100,000 people.
  • Chart showing the growth of incarcerated populations in local jails, state prisons, and federal prisons from 1925 to 2023. Most people are incarcerated in state prisons — more than 1 million people.

The disproportionate growth in women’s incarceration

For almost fifty years, women’s prison populations have grown at a faster clip compared to men’s. The pandemic demonstrated that significant decarceration is possible, but a few years later, jail and prison population rebounds have again been faster for women. As we’ve explained elsewhere, the incarceration of women largely takes place in local jails, which offer fewer services than prisons and struggle to provide proper health care, and where most women have not even been convicted of a crime. Fortunately, advocates and lawmakers are paying increasing attention to the unique harms and burdens for women impacted by the criminal legal system. For more information and context, see our reports, Women’s Mass Incarceration: The Whole Pie, and States of Women’s Incarceration: The Global Context.

  • bar chart showing that women's prison populations have grown faster than men's prison populations even after dropping faster during the pandemic
  • bar chart showing rates of women's incarceration in jails, state prisons, and federal prisons per 100,000 women from 1925 to 2023
  • bar chart showing the number of women incarcerated in jails, state prisons, and federal prisons per 100,000 women from 1925 to 2023

Racial disparities persist behind bars

As updated data show, incarceration continues to harm Black and Native people at wildly disproportionate rates compared to other racial and ethnic groups. Of course, these disparities often begin at earlier stages of the criminal legal system, like policing, pretrial detention, and opportunities for diversion.

  • bar chart showing that Black people have the highest rate of prison incarceration at 929 per 100,000 people, compared to Native, White, Hispanic, and Asian people
  • bar chart showing that Black people have the highest rate of prison incarceration at 552 per 100,000 people, compared to American Indian or Alaska Native, Native Hawaiian or Pacific Islander, White, Hispanic, multiracial, and Asian people
  • bar chart showing prison incarceration rates per 100,000 women of Native, White, Hispanic, Asian, and Other-race women
  • bar chart showing prison incarceration rates per 100,000 men of Native, White, Hispanic, Asian, and Other-race men

See our Racial Justice page for more reports, briefings, research, and visualizations focused on the intersection of race and incarceration.

The mass punishment system extends to probation and parole

Looking only at the 2 million people behind bars obscures the fact that millions more people are under the thumb of the correctional system, on probation or parole. As of 2023, there are about 3 million people on probation and 536,000 people on parole who live under these poorly-designed “alternatives” to incarceration.

People ensnared in the “mass punishment” system are in poorer overall health; as the second slide shows, those behind bars or under community supervision report much higher rates of serious psychological distress. Visit our Probation and Parole issue page to find out more about mass punishment at the national and state levels.

  • line graph showing changes in probation, parole, and incarcerated populations since 1975
  • chart showing that people under correctional control are far more likely to report being under serious psychological distress compared to people who are not

If you find our datasets and charts useful in your work, let us know about it.


Guaranteed income programs show reduced recidivism and improved self-sufficiency, quickly paying for themselves.

by Aleks Kajstura, April 10, 2026

Upon coming home from prison, people face the same — and rising — costs of living as the rest of us. But they have to bear additional costs imposed by the criminal legal system as well, all while navigating additional and unique barriers to employment. The resulting financial insecurity makes it harder to succeed at reentry. Cash assistance (often called “guaranteed income”) makes reentry easier by providing people with a monetary safety net, helping them get jobs, housing, and food, and fulfill any remaining court or parole obligations.

In this piece, we explain how guaranteed income reduces recidivism and results in taxpayer savings. We highlight the work of the Just Income program in Alachua County (Gainesville), Florida as a concrete example that demonstrates cash assistance with no strings attached is a smart policy choice for supporting people in reentry.

Formerly incarcerated people face serious financial challenges upon release

There are nearly 2 million people incarcerated in the U.S. at any given time, but because of the enormous churn in and out of facilities, about 8 million people leave jail and prison every year. In other words, millions of people are faced with the daunting challenge of getting back on their feet after incarceration has upended their lives.

Formerly incarcerated people disproportionately experience joblessness and poverty before being incarcerated, and those issues only get worse after release. Not only is it harder to find employment after incarceration, but people also face hefty fees upon release. In Florida, for example, courts assessed over $315 million in fines and fees in Fiscal Year 2017-18 (the most recent year for which data are available).

For people in reentry, financial hardships have severe consequences: failing to meet the arduous requirements of post-release supervision can result in reincarceration. Unemployment is highest within the first two years of release, so financial assistance can make the biggest impact in the early part of reentry. Notably, these struggles are disproportionately imposed on Black Americans, who are overrepresented in the country’s correctional facilities; Black people make up just 14% of the U.S. population, but 42% of incarcerated people. Similarly, in Florida, Black residents make up 15% of the state population, but nearly half of the people in prisons and 41% of the people in jails. To make matters worse, Black people have the highest joblessness and unemployment rates among formerly incarcerated people.

The Just Income project puts theory into practice

One Florida organization is working to help people succeed in reentry — and with over 150,000 Florida residents behind bars and 687,000 returning home each year, there is a lot of need for support. In Alachua County, Community Spring is addressing those needs directly through a guaranteed income program for recently-released people, providing direct financial support that recipients could use to address their most pressing needs.

Community Spring’s Just Income program gives formerly incarcerated people who reside in Alachua County $800 per month for a year with no strings attached. This allows recipients to put the money where it’s needed most at any given time.

Recipients are randomly selected from among those who meet the broad eligibility criteria. To qualify, they must simply have been released from a prison or jail or have started probation in the previous year. To confirm that the program is indeed a good use of funds, the program started as a pilot where researchers conducted a study that compared outcomes for individuals who received the income and a control group of formerly incarcerated people who did not. The pilot participants who received assistance were given $1,000 in the first month and then $600 for the following 11 months. The results showed recidivism fell, and self-sufficiency and mental health improved, all resulting in net savings for taxpayers.

Providing guaranteed income to formerly incarcerated individuals shows great results

Just Income’s pilot study showed that guaranteed income improved probation compliance and reduced recidivism rates.

Chart showing providing guaranteed income to formerly incarcerated people reduces recidivism

It’s not hard to see why the pilot produced these results when Florida law requires “probation fees of at least $40 per month, while eliminating exemptions from prosecution and public defense fees for indigent defendants,” according to Just Income’s study report. The findings were consistent with interviews conducted with the participants, who expressed that the guaranteed income program saved them from having to turn to crimes of survival or other criminalized activities to cover basic needs.

Guaranteed Income creates taxpayer savings and increased self-sufficiency

One common misconception about cash assistance in general, and guaranteed income in particular, is that it creates a disincentive to work. But guaranteed income programs actually help people find suitable and sustainable work that leads to more stable employment.

Results from the pilot showed that the guaranteed income payments actually improved participants’ self-sufficiency by strengthening their ability to obtain employment and cover their own basic living expenses.

Chart showing providing guaranteed income to formerly incarcerated people makes it more likely that they find and keep a full-time job

This makes sense when one considers how guaranteed income programs make people less desperate for money to cover basic needs. Not only does that remove economic incentives that can lead to recidivism, but it also allows people in reentry to find work in a hostile job market. Not being desperate to take the very first job available may make it easier for people to find well-paid, sustainable employment.

The impact of the Just Income program extended beyond the single person receiving the payment. Recipients were able to pitch in for household expenses, cover food costs, and help others in need. This means that guaranteed income not only benefits people in reentry, but their larger communities as well. Even though the cash assistance doesn’t come close to covering all expenses, letting people choose to share some of that money with family and community gives formerly incarcerated people the ability to strengthen social ties through giving back.

Chart showing benefits to families of providing guaranteed income to formerly incarcerated people

The study’s participants also “credited the stability provided by the Just Income program for improving their mental well-being.” Participants who received assistance experienced reduced stress, felt like they mattered more, and had higher hopes for the future. They expressed that these improvements led to “an interruption in the downward spiral of poverty, stress, substance use, and recidivism.”

These benefits not only help individuals directly impacted by incarceration and their immediate communities, but all Florida residents through significant tax savings. Florida spends over $41,000 annually to incarcerate a single person. During the study period, participants received $7,600 over 12 months. For every 100 people in the study, those payments led to 12 fewer people being reincarcerated. By conservative estimate, that averages out to a net gain for taxpayers of over $13,000 per person in the program.

Guaranteed income is a proven tool that should be used across the country

Community Spring’s Just Income program should be replicated across the country. Guaranteed income for people in reentry is a smart policy move, and Community Spring even provides consulting to those who want to start their own program for people in reentry. A key factor of their program’s success is that the payments are completely unrestricted, which enables them to maximize efficiency by allowing people to pick new uses for the funds as new challenges crop up.

There have only been a handful of other guaranteed income programs focusing on justice-involved people so far. Just Income is unique among them because it was accompanied by a rigorous academic study. Even though the other programs weren’t subject to the same level of scrutiny, they did gather some data and (of course) anecdotes, which showed the same general benefits of guaranteed income for people in reentry.

These early pilots of guaranteed income programs show promise in helping people succeed in reentry. In fact, Just Income has kept going beyond their first pilot, turning into a recurring program providing people with unconditional payments of $800 a month for one year. They are now helping other organizations to replicate this type of program.

More organizations and governments should copy these programs; guaranteed income is an efficient way to help people succeed in reentry, reducing recidivism and quickly paying for itself. Everyone deserves a fair shot at reintegrating into society, securing high-quality employment, and contributing to their communities. Just a little money every month can be the first step in achieving that goal.


The U.S. keeps millions of people on probation and parole every day. Rather than serving as an alternative to incarceration, supervision is often a tripwire to harsher punishments.

April 7, 2026

In many states, the number of people on probation or other forms of “community supervision” far outstrips the number of people behind bars. In a new report, Punishment Beyond Prisons 2026: Incarceration and supervision by state, the Prison Policy Initiative offers a state-by-state look at the correctional population that goes beyond prison and jail walls — while illuminating how probation and parole supervision often lead to incarceration.

graphic from Punishment Beyond Prisons 2026 showing the breakdown of correctional populations in all 50 states

From notorious “tough on crime” states like Georgia to “progressive” states like Minnesota and Rhode Island, the report shows how supervision — mainly, probation — has elevated correctional control from rare to commonplace:

  • If the number of people on probation and parole nationwide were its own state, it would be roughly the size of Connecticut, more populous than 21 states and D.C.
  • In 20 states, over two-thirds of people under correctional control are on probation or parole, rather than behind bars.
  • There are nearly as many people on parole — supervision after release from prison — as there are in the nation’s 3,000-plus local jails.

“Looking only at incarceration obscures the fact that millions more people are under the thumb of the correctional system, forced to comply with a litany of rules every day or face reincarceration,” said report author Leah Wang. “As lawmakers ponder how to reduce prison populations, they should look at these supervision systems, which are often a tripwire to harsher punishments.”

Punishment Beyond Prisons 2026 also includes:

  • An overview of incarceration and supervision populations over time, with a warning that despite pandemic-fueled downturns, many states are actually at or near peak probation populations.
  • A sidebar highlighting another punished population: the over 800,000 people required to be listed on public registries for sex offense convictions, despite abundant evidence that these registries do not improve public safety.
  • A section about people on supervision held behind bars for non-criminal rule violations, showing that these violations send more people on probation and parole to prison than do new criminal offenses.

The report highlights how certain states have enacted reforms that reduce supervision for people who do not need it. Virginia and Florida, for example, have passed laws allowing people to earn time off their probation sentences through education, employment and other achievements, while Pennsylvania now uses an individualized approach to setting probation conditions and allows for early termination of supervision.

“Supervision sentences, particularly probation sentences, are too long and keep people under correctional control far past the point where it benefits them,” said Wang. “Just as with this country’s bloated incarceration system, probation and parole can and should be drastically reduced while preserving public safety.”

The full report is at: https://www.prisonpolicy.org/reports/correctionalcontrol2026.html.


We analyzed data about formal complaints made by incarcerated people regarding medical care in federal prisons and can only conclude that grievance systems are designed to thwart nearly every one.

by Brian Nam-Sonenstein, March 24, 2026

When incarcerated people face abuse and mistreatment, they can typically file a formal complaint with jail or prison administrators. In federal prisons, the system for resolving these complaints is known as the “Administrative Remedy Program,” but it’s more commonly referred to as a “grievance system” in state prisons and local jails. Grievance systems are supposed to provide incarcerated people with a way to challenge issues they face behind bars — such as inadequate medical care, harassment by corrections officers, or unsanitary living conditions — and (hopefully) receive some kind of relief. In practice, however, incarcerated people who turn to grievance systems are forced to run a gauntlet of rules and regulations just to be heard, and very rarely succeed. This is especially true when it comes to medical complaints: our analysis of a decade of data from the Data Liberation Project finds that, between 2014 and 2024, a startling 98% of medical grievances were rejected for reasons ranging from the bureaucratic (such as using the wrong size sheet of paper) to the substantive (actually being denied on the merits of the complaint). Less than 1% of medical cases ended in a grant of relief.

A functioning grievance system is an important lifeline for incarcerated people, who have very little leverage to affect their circumstances. It’s especially important for health-related matters, given that incarcerated people suffer from illness and disease at rates far exceeding that of the general public, and their access to medical care is highly constrained and notoriously awful. But in the end, a system does what it is designed to do, not what it is intended to do, and the federal grievance system rejects nearly every medical complaint filed by incarcerated people, often for vague or trivial reasons.

In this briefing, we examine the statuses of nearly 66,000 medical grievances from across the Bureau of Prisons to determine what kinds of medical complaints are most common in the federal system and how incarcerated people fare in their pursuit of relief.

The federal prison grievance system is designed to shut down complaints

Major segments of the U.S. population struggle to obtain basic medical care, but incarcerated people face especially challenging barriers and limitations such as the inability to choose doctors, get second opinions, or continue treatments prescribed prior to their incarceration. Conditions are so bad on the inside that since 2000, roughly half of all state prison systems have been court-ordered to improve mental and medical healthcare.

A pie chart showing the outcomes of medical grievances in federal prisons between 2014 to 2024, including that less than 1,000 medical grievances ended in a grant of relief, while nearly 64,000 were rejected, denied, or closed. Our analysis of a decade of data from the Data Liberation Project finds that, between 2014 and 2024, a startling 98% of medical grievances were rejected for reasons ranging from the bureaucratic (such as using the wrong size sheet of paper) to the substantive (actually being denied on the merits of the complaint). Less than 1% of medical cases ended in a grant of relief. See Appendix A for more information.

The sheer volume of correctional healthcare lawsuits reflects how ineffective prison grievance systems are for incarcerated people. After all, grievance systems should help people address their concerns so that neither side has to engage in costly, time-consuming litigation. Instead, grievance systems gatekeep actual opportunities for accountability in the courts.

The federal Bureau of Prisons’ grievance system, in the simplest terms, works like this:

  1. Informal resolution: An incarcerated person must first attempt to resolve their complaint informally by speaking directly to the person with whom they have an issue. As one might imagine, this first hurdle can easily dissuade people from pursuing their complaint for fear of retaliation — especially when that person works for the prison.
  2. Formal resolution: If they can’t informally resolve the issue, an incarcerated person can file a formal complaint with the warden, who is supposed to investigate and respond. To do this, the incarcerated person must overcome tedious administrative hurdles for their complaint to even be considered, including adhering to short deadlines1 and specific requirements like using the correct paper size, attaching the right number of copies, or using the right form (of which there are many).
  3. Appeals: If the warden denies the grievance or fails to resolve it, the incarcerated person can first appeal to the regional office and, if denied or unresolved again, can appeal to the central office.
  4. Lawsuits: Due to restrictions imposed under the Prison Litigation Reform Act, this administrative system must be completely exhausted before an incarcerated person can file a lawsuit in court to compel relief.

So, how far do complaints about medical care make it through this system? Our analysis of federal medical grievance data 2 provides a snapshot (as of May 2024) of the statuses of nearly 66,000 complaints filed between January 2014 and January 2024. 3 At the time the data were exported, nearly one-third (32%) of all medical complaints had been rejected because they were “improperly filed” according to one administrative rule or another; another 51% had been closed upon appeal for administrative reasons. In particular, the dental and mental health grievance categories had the highest rates of these rejections: 78% of dental and 83% of mental health grievances were tossed out for administrative reasons, including cases that had reached the appeals stage.

The data snapshot reveals that just 14% of all medical grievances over the decade made it past these administrative tests only to be denied on the actual merits of the complaint. Here, again, mental health and dental-related categories had the highest percentage (20%) of cases denied relief. Remarkably and disturbingly, zero grievances pertaining to pregnancy, abortion, or childcare in this decade-long dataset were granted relief. Meanwhile, the categories of “other forced medical treatment” and “forced psychotropic medication” had zero cases that were even accepted for consideration.

Contrast this with the victories: Only 1% of cases over the decade had a status indicating they were granted relief. This amounts to a grand total of just 940 cases out of 65,712. While the dataset doesn’t include details on those outcomes, relief is typically specific to the grievance. For example, if a person files a grievance because they were denied a particular medication, they might seek relief in the form of access to that medication.

As one might expect, the most common grievance subjects match what we know about common structural issues with prison healthcare. In terms of raw numbers, the following grievance subjects had the highest numbers of complaints and subsequent denials of relief:

Grievance subjects with the highest number of cases
in which the prison denied relief

To see all case outcomes for each subject, see Appendix B.
Subject category Percentage of all medical grievances Percentage of cases in this category that were denied relief Cases denied relief
Delayed or lack of access to medical care 33% 10% 2,242
Improper or inadequate medical care 17% 14% 1,568
Prescription medication 12% 18% 1,389

Alternatively, we can look at grievance subjects that had the highest proportion of cases in which the prison denied relief. Here, again, we see subjects that match some of the most notorious problems in prison healthcare:

Grievance subjects with the highest proportion of cases
in which the prison denied relief

To see all case outcomes for each subject, see Appendix B.
Subject category Percentage of cases in this category that were denied relief Cases denied relief
Copay issues 35% 350
Psychotropic or other mental health medications 25% 119
Non-medication prescriptions (e.g., walking aids or medical necessity mattresses) 24% 642

Tedious paperwork issues are a leading reason for rejected grievances

As the data show, federal prisons don’t reject most grievances on the merits. Instead, most are rejected because incarcerated people fail to navigate administrative rules for submitting complaints, so their grievances are never actually judged on their merits.

Why are so many complaints rejected on technicalities? Put simply, many of the rules and requirements that govern the grievance process are difficult for incarcerated people to meet. Prison officials control the time and movement of incarcerated people, which can hinder their ability to access the necessary forms and submit complaints to the right person in a timely manner. They also restrict the type and amount of property people can keep in their cells, including writing tools and materials they would need to fill out grievance forms. Add to this the typically lower levels of educational attainment and literacy among incarcerated people compared to the general population, and it becomes obvious that the various confusingly-named forms, rules about single-subject complaints, prohibitions on third-party assistance,4 and other highly specific rules work to thwart most grievances before they’re ever considered on their merits. Other requirements, like requiring attempted informal resolutions as a first step, may sound reasonable in the abstract but can quickly dissuade incarcerated people who might fear retaliation for speaking up, especially in abusive situations. On top of all of this, those filing medical grievances are dealing with unresolved medical issues as they fight to receive basic dignified care.

In the dataset,5 each case can have up to five reasons explaining why it was rejected and/or closed. We tabulated the most common reasons for rejection given across cases to find that:

  • 2 in 5 reasons for rejection pertained to various paperwork issues (such as failing to provide a copy of a particular form, using the wrong size paper, illegible writing or different wordings across forms, failing to write separate appeals for each incident report, or the grievance was filed to the wrong place/person).
  • 1 in 10 reasons claimed the complainant failed to first exhaust all other, informal avenues for resolution.
  • 1 in 12 (8%) reasons pointed to a failure to adhere to time limits for initial complaints and appeals.

The remaining reasons were a mix of withdrawn complaints, repetitive filings, rejections for subjects that are not appealable or “not sensitive issues,” or because the complaint allegedly contained “obscene language.”

Are grievance systems designed to solve problems, or deter lawsuits?

In theory, grievance procedures are an important tool for incarcerated people to pursue fair treatment and defend themselves in a system designed to disempower them. This power is particularly important in the context of medical care, where needs are widespread and urgent, and where failure to meet them can lead to injury, illness, and death. In practice, however, the grievance system is a black hole, a time-waster, and a deterrent to complaining at all. It’s a long and winding maze of rules and technicalities that must be cleared before an incarcerated person can get their complaint to a setting that might actually force a change: the courts.

As we explain in our report, Cut-rate Care, prison healthcare often functions in a similar way, denying and delaying care until the incarcerated person either (1) becomes so frustrated that they give up, (2) pursues their complaint all the way to an improbable success in the courts, or (3) is released or dies. With nearly 100% of medical grievances rejected or denied, it’s hard not to see the federal grievance system as a process designed to block or discourage complaints and lawsuits rather than a meaningful path for relief, protection, or accountability.

At minimum, prison grievance systems should be operated independently, not run by prison administrators,6 and incarcerated individuals’ complaints should carry more weight, be easier to file, and lead to more meaningful and rapidly-delivered relief than they currently do.

Data and Methodology

The data used in this briefing were obtained via the Data Liberation Project. According to the data documentation provided by the Data Liberation Project:

The Federal Bureau of Prisons (BOP)’s Administrative Remedy Program “allow[s] an inmate to seek formal review of an issue relating to any aspect of his/her own confinement.” BOP tracks those complaints through SENTRY, the agency’s “primary mission support database.

In October 2022, the Data Liberation Project filed a request to BOP, seeking a copy of all database records stored in SENTRY’s “Administrative Remedy System module.” Through a series of phone calls and emails, BOP indicated that the agency did not have the capacity to export the complete set of requested records, but was able to export a substantial subset of data-points for each case. BOP provided those records to the Data Liberation Project on June 10, 2024.

The raw dataset contains 1,783,999 complaint and appeal filings covering the time period between January 2000 and May 2024. It contains grievances about a range of issues, such as living conditions and work arrangements, in addition to the medical complaints we analyzed.

The dataset provided by the Bureau of Prisons is best understood as a snapshot of case statuses at the time the data were pulled to fulfill the Data Liberation Project’s request. Grievances moving through the federal system are fluid and subject to change. The dataset only provides the most recent status for each case, which eliminates many duplicate records but also prevents us from seeing a historical view of how cases made their journey through the system. Furthermore, some cases may be incompletely represented — for example, if a case’s initial filing(s) were submitted prior to the start date of the dataset and later appealed, only the appeal would appear in the dataset.

Additionally, a given complaint can have multiple entries in the dataset, for example when someone’s case is rejected on a technicality and must be resubmitted. To analyze the data, we deduplicated these cases to isolate entries with the most recent case status update and narrowed the time series to between the years 2014 and 2024.

The data are organized on two levels:

  1. Primary subjects are the general topic (for example, Dental Care).
  2. Secondary subjects are a narrower subset of the primary subject (for example, Dental appliances).

We tabulated the number of cases for each primary and secondary subject and their statuses. There are five case statuses:

  1. Accepted: Grievance was properly filed and will move toward resolution.
  2. Rejected: Grievance was improperly filed or the process was not properly exhausted at lower levels; it’s rejected without consideration of the merits.
  3. Closed – Denied: Requested relief was denied on the merits.
  4. Closed – Granted: Requested relief was granted on the merits.
  5. Closed – Other: The case was closed on appeal.

In addition to case subject categories and statuses, the dataset provides “reason codes” that provide the Bureau of Prisons’ reasoning for particular statuses. Each case can have up to five reason codes. Some entries had blank fields for their reason codes, while others had codes that were too opaque to be meaningful (for example, “see remarks,” “information/explanation only,” and “resubmit appeal”). For our analysis, we aggregated all reason codes across cases and discarded these vague codes to isolate only those that shed some light on the reasoning behind particular decisions.

Read the entire methodology

Appendices

The following data were obtained by the Data Liberation Project following a Freedom of Information Act request for grievance records from the Bureau of Prisons. See their data documentation resources for details and access to the full dataset.

Appendix A: Federal medical grievances by primary subject and status (2014–2024)
Primary subject Case status Number of grievance cases Percent of cases with this status within primary subject Percent of all cases with this status and primary subject
Dental care Accepted 25 1% 0%
Dental care Closed Denied 475 14% 1%
Dental care Closed Granted 78 2% 0%
Dental care Closed Other 1,952 57% 3%
Dental care Rejected 898 26% 1%
Dental total 3,428 5%
Medical treatment – forced Accepted 2 2% 0%
Medical treatment – forced Closed Denied 18 14% 0%
Medical treatment – forced Closed Granted 2 2% 0%
Medical treatment – forced Closed Other 50 38% 0%
Medical treatment – forced Rejected 61 46% 0%
Treatment-forced total 133 0%
Medical – excluding forced treatment Accepted 674 1% 1%
Medical – excluding forced treatment Closed Denied 8,286 14% 13%
Medical – excluding forced treatment Closed Granted 833 1% 1%
Medical – excluding forced treatment Closed Other 30,408 51% 46%
Medical – excluding forced treatment Rejected 19,311 32% 29%
Medical excluding forced total 59,512 91%
Mental health care Accepted 33 1% 0%
Mental health care Closed Denied 533 20% 1%
Mental health care Closed Granted 27 1% 0%
Mental health care Closed Other 988 37% 2%
Mental health care Rejected 1,058 40% 2%
Mental health total 2,639 4%
all records total 65,712

See Appendix A

 

Appendix B: Federal medical grievances by secondary subject and status (2014–2024)
Primary subject Secondary subject Case status Number of grievance cases Percent of cases with this status within secondary subject Percent of all cases with this status and secondary subject
Dental care Dental appliances (braces, bridges, crowns, etc.) Accepted 6 1% 0%
Dental care Dental appliances (braces, bridges, crowns, etc.) Closed Denied 125 16% 0%
Dental care Dental appliances (braces, bridges, crowns, etc.) Closed Granted 19 2% 0%
Dental care Dental appliances (braces, bridges, crowns, etc.) Closed Other 463 58% 1%
Dental care Dental appliances (braces, bridges, crowns, etc.) Rejected 185 23% 0%
total 798 1%
Dental care Dental care – delay or access to Accepted 11 1% 0%
Dental care Dental care – delay or access to Closed Denied 176 12% 0%
Dental care Dental care – delay or access to Closed Granted 37 2% 0%
Dental care Dental care – delay or access to Closed Other 938 62% 1%
Dental care Dental care – delay or access to Rejected 349 23% 1%
total 1,511 2%
Dental care Dental care – improper or inadequate Accepted 6 1% 0%
Dental care Dental care – improper or inadequate Closed Denied 124 16% 0%
Dental care Dental care – improper or inadequate Closed Granted 14 2% 0%
Dental care Dental care – improper or inadequate Closed Other 397 51% 1%
Dental care Dental care – improper or inadequate Rejected 237 30% 0%
total 778 1%
Dental care Other dental matters Accepted 2 1% 0%
Dental care Other dental matters Closed Denied 50 15% 0%
Dental care Other dental matters Closed Granted 8 2% 0%
Dental care Other dental matters Closed Other 154 45% 0%
Dental care Other dental matters Rejected 127 37% 0%
total 341 1%
Medical treatment – forced Forced psychotropic medication Accepted 0 0% 0%
Medical treatment – forced Forced psychotropic medication Closed Denied 1 8% 0%
Medical treatment – forced Forced psychotropic medication Closed Granted 0 0 0%
Medical treatment – forced Forced psychotropic medication Closed Other 3 25% 0%
Medical treatment – forced Forced psychotropic medication Rejected 8 67% 0%
total 12 0%
Medical treatment – forced Hunger strikes and forced feeding Accepted 2 2% 0%
Medical treatment – forced Hunger strikes and forced feeding Closed Denied 11 12% 0%
Medical treatment – forced Hunger strikes and forced feeding Closed Granted 1 1% 0%
Medical treatment – forced Hunger strikes and forced feeding Closed Other 36 39% 0%
Medical treatment – forced Hunger strikes and forced feeding Rejected 42 46% 0%
total 92 0%
Medical treatment – forced Other forced medical treatment Accepted 0 0% 0%
Medical treatment – forced Other forced medical treatment Closed Denied 6 21% 0%
Medical treatment – forced Other forced medical treatment Closed Granted 1 3% 0%
Medical treatment – forced Other forced medical treatment Closed Other 11 38% 0%
Medical treatment – forced Other forced medical treatment Rejected 11 38% 0%
total 29 0%
Medical – excluding forced treatment Consultant referrals, recommendations Accepted 32 1% 0%
Medical – excluding forced treatment Consultant referrals, recommendations Closed Denied 573 18% 1%
Medical – excluding forced treatment Consultant referrals, recommendations Closed Granted 50 2% 0%
Medical – excluding forced treatment Consultant referrals, recommendations Closed Other 1,925 59% 3%
Medical – excluding forced treatment Consultant referrals, recommendations Rejected 693 21% 1%
total 3,273 5%
Medical – excluding forced treatment Medical care – delay or access to Accepted 223 1% 0%
Medical – excluding forced treatment Medical care – delay or access to Closed Denied 2,242 10% 3%
Medical – excluding forced treatment Medical care – delay or access to Closed Granted 322 1% 0%
Medical – excluding forced treatment Medical care – delay or access to Closed Other 11,915 55% 18%
Medical – excluding forced treatment Medical care – delay or access to Rejected 6,942 32% 11%
total 21,644 33%
Medical – excluding forced treatment Medical care – improper or inadequate Accepted 59 1% 0%
Medical – excluding forced treatment Medical care – improper or inadequate Closed Denied 1,568 14% 2%
Medical – excluding forced treatment Medical care – improper or inadequate Closed Granted 86 1% 0%
Medical – excluding forced treatment Medical care – improper or inadequate Closed Other 5,185 48% 8%
Medical – excluding forced treatment Medical care – improper or inadequate Rejected 3,977 37% 6%
total 10,875 17%
Medical – excluding forced treatment Medical matters – copay issues Accepted 6 1% 0%
Medical – excluding forced treatment Medical matters – copay issues Closed Denied 350 35% 1%
Medical – excluding forced treatment Medical matters – copay issues Closed Granted 64 6% 0%
Medical – excluding forced treatment Medical matters – copay issues Closed Other 355 35% 1%
Medical – excluding forced treatment Medical matters – copay issues Rejected 235 23% 0%
total 1,010 2%
Medical – excluding forced treatment Medical records Accepted 20 1% 0%
Medical – excluding forced treatment Medical records Closed Denied 154 8% 0%
Medical – excluding forced treatment Medical records Closed Granted 45 2% 0%
Medical – excluding forced treatment Medical records Closed Other 1,054 57% 2%
Medical – excluding forced treatment Medical records Rejected 570 31% 1%
total 1,843 3%
Medical – excluding forced treatment Medication assisted treatment Accepted 74 8% 0%
Medical – excluding forced treatment Medication assisted treatment Closed Denied 76 8% 0%
Medical – excluding forced treatment Medication assisted treatment Closed Granted 3 0% 0%
Medical – excluding forced treatment Medication assisted treatment Closed Other 495 54% 1%
Medical – excluding forced treatment Medication assisted treatment Rejected 261 29% 0%
total 909 1%
Medical – excluding forced treatment Non-medication prescriptions – bed boards, idles, etc. Accepted 20 1% 0%
Medical – excluding forced treatment Non-medication prescriptions – bed boards, idles, etc. Closed Denied 642 24% 1%
Medical – excluding forced treatment Non-medication prescriptions – bed boards, idles, etc. Closed Granted 69 3% 0%
Medical – excluding forced treatment Non-medication prescriptions – bed boards, idles, etc. Closed Other 1,294 48% 2%
Medical – excluding forced treatment Non-medication prescriptions – bed boards, idles, etc. Rejected 647 24% 1%
total 2,672 4%
Medical – excluding forced treatment Other medical matters Accepted 116 1% 0%
Medical – excluding forced treatment Other medical matters Closed Denied 1,134 13% 2%
Medical – excluding forced treatment Other medical matters Closed Granted 81 1% 0%
Medical – excluding forced treatment Other medical matters Closed Other 3,554 42% 5%
Medical – excluding forced treatment Other medical matters Rejected 3,536 42% 5%
total 8,421 13%
Medical – excluding forced treatment Other women’s medical issues Accepted 2 2% 0%
Medical – excluding forced treatment Other women’s medical issues Closed Denied 12 14% 0%
Medical – excluding forced treatment Other women’s medical issues Closed Granted 3 3% 0%
Medical – excluding forced treatment Other women’s medical issues Closed Other 44 51% 0%
Medical – excluding forced treatment Other women’s medical issues Rejected 26 30% 0%
total 87 0%
Medical – excluding forced treatment Pregnancy, abortion, childbirth Accepted 1 5% 0%
Medical – excluding forced treatment Pregnancy, abortion, childbirth Closed Denied 1 5% 0%
Medical – excluding forced treatment Pregnancy, abortion, childbirth Closed Granted 0 0% 0%
Medical – excluding forced treatment Pregnancy, abortion, childbirth Closed Other 14 64% 0%
Medical – excluding forced treatment Pregnancy, abortion, childbirth Rejected 6 27% 0%
total 22 0%
Medical – excluding forced treatment Prescriptions, medication Accepted 98 1% 0%
Medical – excluding forced treatment Prescriptions, medication Closed Denied 1,389 18% 2%
Medical – excluding forced treatment Prescriptions, medication Closed Granted 99 1% 0%
Medical – excluding forced treatment Prescriptions, medication Closed Other 4,022 52% 6%
Medical – excluding forced treatment Prescriptions, medication Rejected 2,068 27% 3%
total 7,676 12%
Medical – excluding forced treatment Sick call procedures Accepted 12 2% 0%
Medical – excluding forced treatment Sick call procedures Closed Denied 72 12% 0%
Medical – excluding forced treatment Sick call procedures Closed Granted 2 0% 0%
Medical – excluding forced treatment Sick call procedures Closed Other 328 54% 0%
Medical – excluding forced treatment Sick call procedures Rejected 196 32% 0%
total 610 1%
Medical – excluding forced treatment Transgender concerns/issues Accepted 11 2% 0%
Medical – excluding forced treatment Transgender concerns/issues Closed Denied 73 16% 0%
Medical – excluding forced treatment Transgender concerns/issues Closed Granted 9 2% 0%
Medical – excluding forced treatment Transgender concerns/issues Closed Other 223 47% 0%
Medical – excluding forced treatment Transgender concerns/issues Rejected 154 33% 0%
total 470 1%
Mental health care Mental health treatment – delay or access to Accepted 12 1% 0%
Mental health care Mental health treatment – delay or access to Closed Denied 216 19% 0%
Mental health care Mental health treatment – delay or access to Closed Granted 12 1% 0%
Mental health care Mental health treatment – delay or access to Closed Other 455 40% 1%
Mental health care Mental health treatment – delay or access to Rejected 435 38% 1%
total 1,130 2%
Mental health care Other mental health matters Accepted 18 2% 0%
Mental health care Other mental health matters Closed Denied 198 19% 0%
Mental health care Other mental health matters Closed Granted 11 1% 0%
Mental health care Other mental health matters Closed Other 358 35% 1%
Mental health care Other mental health matters Rejected 445 43% 1%
total 1,030 2%
Mental health care Psychotropic or other mental health medications Accepted 3 1% 0%
Mental health care Psychotropic or other mental health medications Closed Denied 119 25% 0%
Mental health care Psychotropic or other mental health medications Closed Granted 4 1% 0%
Mental health care Psychotropic or other mental health medications Closed Other 175 37% 0%
Mental health care Psychotropic or other mental health medications Rejected 178 37% 0%
total 479 1%

See Appendix B

 

Appendix C: Reasons given for rejecting federal medical grievances (2014–2024)
Reason for rejection Number of times reason appeared Percent of all reasons given
Request or appeal denied substantially in full. 18,295 24%
You did not attempt informal resolution prior to submission of administrative remedy, or you did not provide the necessary evidence of your attempt at informal resolution. 6,926 9%
You did not provide a copy of your institution administrative remedy request (BP-9), or a receipt, or you did not provide a verified photocopy. 5,795 8%
You must first file a BP-9 request through the institution for the warden’s review and response before filing an appeal at this level. 4,457 6%
Withdrawn at inmate’s request. 4,444 6%
You submitted your request or appeal to the wrong level or wrong office. 3,749 5%
Concur with rationale of regional office and/or institution for rejection. Follow directions provided on prior rejection notices. 2,599 3%
Your appeal is untimely. Regional appeals must be received within 20 days of the warden’s or CCM’s response. This time limit includes mail time. 2,479 3%
Your request is untimely. Institution and CCC requests must be received within 20 days of the event complained about. 2,359 3%
All four pages of your (BP-9) (BP-10) (BP-11) form must be legible and worded the same. Photocopies of the form will not be accepted. 2,305 3%
The issue you raise is not a sensitive issue. Your request/appeal is not being returned to you in accordance with policy. 2,131 3%
You may only submit up to one letter-size (8 1/2″ x 11″) continuation page. 2,026 3%
Provide staff verification stating reason untimely filing was not your fault. 1,999 3%
You must provide more specific information about your request/appeal so that it may be considered. 1,984 3%
You did not submit your request or appeal on the proper form (BP-9, BP-10, BP-11). 1,790 2%
You did not sign your request or appeal. 1,610 2%
You are appealing more than one incident report (incident number) on a single appeal form. You must file a separate appeal for each incident report (incident number) you wish to appeal. 1,369 2%
You did not submit the proper number of continuation pages. You must submit one copy at the warden’s level; two copies at the regional director’s level; and three copies at the central office level. 1,303 2%
You did not submit your request through your counselor, or other authorized person. 1,227 2%
You did not provide a copy of the regional appeal, or a receipt, or you did not provide a verified photocopy. 1,166 2%
Tequest or appeal denied as repetitive of previous filing. 931 1%
You did not submit a complete set (4 carbonized copies) of the request or appeal form. 902 1%
Request or appeal granted substantially in full. 859 1%
You did not submit the correct number of copies of the attachments (new documentation not considered by lower levels). 2 at institution; 3 at region; and 4 at central office. 612 1%
Your appeal is untimely. Central office appeals must be received within 30 days of the regional director’s response. This time limit includes mail time. 598 1%
Request or appeal partially granted. 537 1%
Your appeal of the rejection is untimely. Resubmissions are due within: 5 days (institution); 10 days (CCM or regional office); 15 days (central office). Submit staff memo on BOP letterhead stating reason untimely filing wasn’t your fault. 407 1%
Your issue is not appealable to the BOP. You must use the grievance procedures at your facility. 374 0%
Other 342 0%
Request or appeal is moot. 138 0%
You did not provide a copy of the attachment(s) to your institution administrative remedy request (BP-9). 115 0%
Your request contains gratuitous obscene or abusive language. 101 0%
Due to your allegations, your appeal is being forwarded to another department for review; however, your appeal was retained in accordance with policy. 79 0%
You may request staff assistance in preparing your request or appeal in english. 38 0%
Request or appeal previously granted. 14 0%
You did not provide a copy of the DHO report; or you did not otherwise identify the charges and date of the DHO action you are appealing. 14 0%
You did not provide a copy of the attachment(s) to your regional appeal. 6 0%
total 76,080 100%

See Appendix C

Footnotes

  1. In the federal system, the timeframes for incarcerated peoples’ filings and appeals are as follows:

    1. Initial filing: 20 days from incident
    2. Regional appeal: 20 days from warden’s response
    3. Central office appeal: 20 days from regional response

    There is one exception in the federal system, which is sexual abuse. According to policy, grievances pertaining to such conduct can be filed at any time after it occurs (though other time limits remain in place).  ↩

  2. See the appendices for a full accounting of federal medical grievances  ↩

  3. It’s important to note that these figures are specific to the moment the data was pulled by the Bureau of Prisons on behalf of the Data Liberation Project. Given the fluid nature of prison grievance systems, a specific complaint can have different statuses at different points in time. For example, a medical grievance could initially have a status of “rejected” due to a paperwork issue, but later have a status of “approved” once the complainant updated and refiled their grievance. This is what we mean when we say the data provided is only a “snapshot” — our analysis reflects case statuses as they were captured at the moment the federal Bureau of Prisons exported their database. See the methodology for more information.  ↩

  4. Unlike many other prison systems, the BOP does allow third party support in the preparation of grievances.  ↩

  5. See Appendix C for a full accounting of reason codes for rejecting federal medical grievances.  ↩

  6. In the federal system, the grievance system is operated by prison administrators at various levels. Grievance systems in state prisons, however, are operated in a variety of ways. In New York, for example, grievances are reviewed by a committee that includes incarcerated people and staff. Regardless, having people who work for the prison judge complaints against other people who work for the prison is a conflict of interest.  ↩

See all footnotes


SB 503 would include people in their early 20s in important sentencing and parole provisions that consider age and maturity.

by Sarah Staudt, March 24, 2026

On March 18, 2026, the Prison Policy Initiative submitted written testimony in the Connecticut Legislature in support of SB 503, “An Act concerning the sentencing of and parole eligibility for individuals whose offense was committed when such individual was under the age of twenty-six years.”

This bill extends important parole eligibility and sentencing provisions that apply to people who were under 21 at the time of their offense to people who were under 26, reflecting scientific research that shows that brain development continues during people’s early 20s.

If you are a criminal legal system reform advocate or legislator who would like to talk to our Advocacy department about providing testimony for a bill, please reach out to us using our contact form.


Alpha will work with the Prison Policy Initiative team to create social videos that expose the harms of mass incarceration in America.

by Regan Huston, March 18, 2026

Alpha Jalloh

Prison Policy Initiative is excited to announce that Alpha Jalloh will join us as our first Creator-in-Residence.

With more Americans turning to social video content for their news and information, the Prison Policy Initiative created this residency to empower and support creators producing videos that expose the harms of the carceral system. For the next four months, Alpha will produce videos that break down complex problems in the U.S. criminal legal system, with the Prison Policy Initiative providing data and research support.

Alpha is a filmmaker, educator, and policy-focused storyteller whose work explores incarceration, surveillance, and structural inequality. Formerly incarcerated, he is an alumnus of the Yale Prison Education Initiative and now a double major in Political Science and American Studies at Yale University, Class of 2029, while serving as president of the Yale Undergraduate Prison Project. Previously, he was a Justice Through Code Fellow at Columbia University and an Education Fellow with the Bard Prison Initiative, and he worked as a career specialist at a New Haven nonprofit supporting people navigating reentry and employment.

Videos will be published as collaborative posts on both his and the Prison Policy Initiative social media accounts. Be sure to follow Alpha on Instagram and TikTok. And also follow Prison Policy Initiative on Instagram and TikTok.

We hope this residency uplifts and grows the ranks of creators producing content about the harms of mass incarceration in the U.S.


SB 497 would change Connecticut law to allow people on probation to access Supplemental Nutrition Assistance Program (SNAP) benefits even if they have a probation violation.

by Sarah Staudt, March 17, 2026

On March 17, 2026, the Prison Policy Initiative submitted written testimony in the Connecticut Legislature in support of SB 497, “An Act Protecting Food Security for Veterans and Others and Mitigating Federal Cuts to Nutritional Assistance”. In particular, our testimony focused on improving a section of Connecticut law that denies Supplemental Nutritional Assistance Program (SNAP) benefits to people who have probation violations.

This bill removes the requirement that someone be “satisfactorily” serving a sentence of probation in order to receive nutrition assistance. It also requires that SNAP application forms to remove references to probation violations, so that people are not deterred from applying for benefits because they are afraid their probation status will exclude them.

If you are a criminal legal system reform advocate or legislator who would like to talk to our Advocacy department about providing testimony for a bill, please reach out to us using our contact form.



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