This statistic shows the percentage of people in the United States that have lost their voting rights due to a felony conviction, by race. In 2016, **** percent of the African American population in the United States was disenfranchised as a result of a felony conviction.

As of December 2022, there was a total of 139,631 prisoners in the state of Texas, the most out of any state. California, Florida, Georgia, and Ohio rounded out the top five states with the most prisoners in the United States.

The purpose of the study was to assess the impact of Latino ethnicity on pretrial release decisions in large urban counties. The study examined two questions: Are Latino defendants less likely to receive pretrial releases than non-Latino defendants? Are Latino defendants in counties where the Latino population is rapidly increasing less likely to receive pretrial releases than Latino defendants in counties where the Latino population is not rapidly increasing? The study utilized the State Court Processing Statistics (SCPS) Database (see STATE COURT PROCESSING STATISTICS, 1990-2004: FELONY DEFENDANTS IN LARGE URBAN COUNTIES [ICPSR 2038]). The SCPS collects data on felony cases filed in state courts in 40 of the nation's 75 largest counties over selected sample dates in the month of May of every even numbered year, and tracks a representative sample of felony case defendants from arrest through sentencing. Data in the collection include 118,556 cases. Researchers supplemented the SCPS with county-level information from several sources: Federal Bureau of Investigation Uniform Crime Reporting Program county-level data series of index crimes reported to the police for the years 1988-2004 (see UNIFORM CRIME REPORTS: COUNTY-LEVEL DETAILED ARREST AND OFFENSE DATA, 1998 [ICPSR 9335], UNIFORM CRIME REPORTING PROGRAM DATA [UNITED STATES]: COUNTY-LEVEL DETAILED ARREST AND OFFENSE DATA, 1990 [ICPSR 9785], 1992 [ICPSR 6316], 1994 [ICPSR 6669], 1996 [ICPSR 2389], 1998 [ICPSR 2910], 2000 [ICPRS 3451], 2002 [ICPSR 4009], and 2004 [ICPSR 4466]). Bureau of Justice Statistics Annual Survey of Jails, Jurisdiction-Level data series for the years 1988-2004 (see ANNUAL SURVEY OF JAILS: JURISDICTION-LEVEL DATA, 1990 [ICPSR 9569], 1992 [ICPSR 6395], 1994 [ICPSR 6538], 1996 [ICPSR 6856], 1998 [ICPSR 2682], 2000 [ICPSR 3882], 2002 [ICPSR 4428], and 2004 [ICPSR 20200]). Bureau of Justice Statistics National Prosecutors Survey/Census data series 1990-2005 (see NATIONAL PROSECUTORS SURVEY, 1990 [ICPSR 9579], 1992 [ICPSR 6273], 1994 [ICPSR 6785], 1996 [ICPSR 2433], 2001 census [ICPSR 3418], and 2005 [ICPSR 4600]). United States Census Bureau State and County Quickfacts. National Center for State Courts, State Court Organization reports, 1993 (see NCJ 148346), 1998 (see NCJ 178932), and 2004 (see NCJ 212351). Bureau of Justice Statistics Felony Defendants in Large Urban Counties reports, 1992 (see NCJ 148826), 1994 (see NCJ 164616), 1996 (see NCJ 176981), 1998 (see NJC 187232), 2000 (see NCJ 202021), and 2002 (see NJC 210818). The data include defendant level variables such as most serious current offense charge, number of charges, prior felony convictions, prior misdemeanor convictions, prior incarcerations, criminal justice status at arrest, prior failure to appear, age, gender, ethnicity, and race. County level variables include region, crime rate, two year change in crime rate, caseload rate, jail capacity, two year change in jail capacity, judicial selection by election or appointment, prosecutor screens cases, and annual expenditure on prosecutor's office. Racial threat stimuli variables include natural log of the percentage of the county population that is Latino, natural log of the percentage of the county population that is African American, change in the percentage of the county population that is Latino over the last six years and change in the percentage of the county population that is African American over the last six years. Cross-level interaction variables include percentage minority (Latino/African American) population zero percent to 15 percent, percentage minority (Latino/African American) population 16 percent to 30 percent, and percentage minority (Latino/African American) population 31 percent or higher.

These data are about the population in Texas's jails and come from the Texas Commission on Jail Standards. There are three files: on the number of pregnant women in jail; on the number of immigration detainers; and general information about who is incarcerated (e.g. number of felons, total population, capacity levels). See below for an outline of the years available and the variables included for each data set. All data is in monthly units. The data is by county and in cases where there is a private facility, there will be two (or more given multiple private facilities) rows for that county with the private facility data labeled "private facility" in parentheses. To each file I also added the year, month, and a link to the PDF on the Texas Commission on Jail Standards' website where I downloaded the data. Immigration Detainer: 2011-2017CountyNumber of inmatesNumber of inmate daysCost in dollarsPregnant Women: CountyNumber of pregnant womenJail Population: 1992-2017CountyNumber of pretrial felonsNumber of convicted felonsNumber of convicted felons sentenced to jailNumber of parole violatorsNumber of parole violators with a new chargeNumber of pretrial misdemeanorsNumber of convicted misdemeanorsNumber of bench warrantsNumber of federalNumber of pretrial state jail felonsNumber of convicted state jail felons sentenced to county jail timeNumber of convicted state jail felons sentenced to state jail timeTotal othersTotal localTotal contractTotal populationTotal capacityPercent of capacityNumber of available beds

This data collection provides annual data on prisoners under a sentence of death and prisoners whose offense sentences were commuted or vacated during the period 1973-2001. Information is supplied for basic sociodemographic characteristics such as age, sex, education, and state of incarceration. Criminal history data include prior felony convictions for criminal homicide and legal status at the time of the capital offense. Additional information is available for inmates removed from death row by year-end 2001 and for inmates who were executed.

This statistic shows the number of inmates confined to local jails across the United States in 2018, by seriousness of offense. In 2018, around ******* people were confined to local jails in the United States on felony charges.

The purposes of this study are to describe sentencing outcomes in felony courts for selected serious offenses--homicide, rape, robbery, aggravated assault, burglary, larceny, and drug trafficking--and to establish a statistical series on sentencing outcomes in felony courts throughout the United States. The jurisdictions consist of cities and counties with an average population of 1.1 million. Among the jurisdictions, the sentencing schemes available varied, with both determinate and indeterminate sentencing practices in operation. The study distinguishes between core informational items such as criminal charges, type of sentence imposed and terms of the prison sentence, and optional items such as characteristics of the offense and the defendant, and how the case was processed.

Abstract (en): Originally known as the National Pretrial Reporting Program, the State Court Processing Statistics (SCPS) program tracks felony cases filed in May of a given year until final disposition or until one year has elapsed from the date of filing. This collection presents data on felony cases filed in approximately 40 of the nation's 75 most populous counties in even numbered years from 1990-2006 and 2009. These 75 counties account for more than a third of the United States population and approximately half of all reported crimes. The cases from these 40 jurisdictions are weighted to represent all felony filings during the month of May in the 75 most populous counties. Data were collected on arrest charges, demographic characteristics, criminal history, pretrial release and detention, adjudication, and sentencing. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Felony court filings during the month of May in even years from 1990-2006 and 2009 in the 75 most populous counties in the United States. Smallest Geographic Unit: county In a two-stage sampling process, the first stage was a stratified sample to select 40 of the 75 most populous counties, and the second stage was a systematic sample of defendants based on felony filings within each selected county. 2014-06-24 The cumulative data file was updated to also include the 2009 data (Part 1, 1990-2009 Cumulative Data). The title of Part 1 has been revised to reflect the range of years the data were collected. The documentation has been revised for Part 1, 1990-2009 Cumulative Data.2011-08-19 All parts are being moved to restricted access and will be available only using the restricted access procedures.2010-09-03 Data were added to the collection for 2006 (Part 10, 2006 Data) and the cumulative data file was updated to also include the 2006 data (Part 1, 1990-2006 Cumulative Data). The title of Part 1 has been revised to reflect the range of years the data were collected. The documentation has been revised for Part 1, 1990-2006 Cumulative Data, and for Part 10, 2006 Data.2007-11-28 The cumulative data for 1990 to 2004 were submitted by the principal investigator. Part 1 has been modified.2006-03-17 The 2002 data were submitted by the principal investigator. Part 1 has been modified, and Part 8 has been added.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.2004-05-20 Data were added to the collection for 2000 (Part 7, 2000 Data) and the cumulative data file was updated to also include the 2000 data (Part 1, 1990-2000 Cumulative Data). The title of the study has been revised to reflect the range of years the data were collected instead of individual years.2004-05-20 Documentation has been revised for Part 7, 2000 Data, and for Part 1, 1990-2000 Cumulative Data. Funding insitution(s): United States Department of Justice. Office of Justice Programs. Bureau of Justice Statistics. Part 1, 1990-2009 Cumulative Data, has its own codebook, which is separate from the codebook for Part 10, 2006 Data. Parts 6, 7, and 8, 1998-2004 Data, also have their own codebooks. Parts 2-5, the 1990, 1992, 1994, and 1996 individual-year data files, share the same codebook.Part 6, 1998 Data, contains over 100 new variables that were created by the principal investigator.Parts 2-5, the 1990, 1992, 1994, and 1996 data files, were created from the 1990-1996 Cumulative Data file.This version of the data supersedes all previous National Pretrial Reporting Program files.Variable names and value labels have been made consistent across the 1990, 1992, 1994, 1996, 1998, 2000, 2002, 2004, and 2006 files. All years use "8" codes for not applicable and "9" codes for missing data. Since some variables did not exist for all years, there may be instances in which all cases are missing for a variable within a given year.There are 25 additional variables in Part 10, 2006 Data that are not...

This is an independent sample of juvenile defendants drawn from the State Court Processing Statistics (SCPS) for 1998 (see ICPSR 2038). SCPS 1998 tracked felony cases filed in May 1998 until final disposition or until one year had elapsed from the date of filing. SCPS 1998 presents data on felony cases filed in approximately 40 of the nation's 75 most populous counties in 1998. These 75 counties account for more than a third of the United States population and approximately half of all reported crimes. The cases from these 40 jurisdictions were weighted to represent all felony filings during the month of May in the 75 most populous counties. Data were collected on arrest charges, demographic characteristics, criminal history, pretrial release and detention, adjudication, and sentencing. Within each sampled site, data were gathered on each juvenile felony case. Cases were tracked through adjudication or for up to one year. The source used to identify the upper age for juveniles and the filing mechanism appropriate to each state was the OJJDP publication, Trying Juveniles as Adults in Criminal Court: An Analysis of State Transfer Provisions (December 1998).

This data is the Jail Profile Survey from California for the time period October 1995 to March 2018. These data include highly detailed information about the inmates in jails in the state at the jail-month level and the county-month and county-quarter level of analysis. The data was scraped from the California Board of State and Community Corrections' website here https://app.bscc.ca.gov/joq//jps/queryselection.aspThere are three data sets available: facility/jail-level data monthly, county-level data monthly, and county-level data quarterly. Each of these data sets offers different variables. All the data sets have the variables indicating the years, month (or quarter), and jurisdiction (in most cases the county sheriff). I added variables with the FIPS county and state codes and county names from the US census. The PDF available for download is the instruction manual from the California Board of State and Community Corrections to employees who submit the jail survey data. This manual indicates how variables are created and can help with understanding the data. I recommend reading it before using this data. I did not make any changes to the except for the following: Changed column names to make it more informative and shorten names to fit the 32 character limit for Stata. Some cells had the values D and U to represent Does Not Apply and Unavailable. In both of these cases I changed those cells to NA. I did this to allow the column to be numeric for analysis. If you find any mistakes in the data or have any suggestions, please email me at jkkaplan6@gmail.comVariables in Facility/Jail-Level Data MonthlyName of facility/jailPopulation capacity for the facility (if any)Average daily population for unsentenced malesAverage daily population for unsentenced femalesAverage daily population for sentenced malesAverage daily population for sentenced femalesAverage daily population totalVariables in County-Level Data MonthlyAverage daily population for unsentenced malesAverage daily population for unsentenced femalesAverage daily population for sentenced malesAverage daily population for sentenced femalesAverage daily population totalAverage number of felony inmates unsentencedAverage number of felony inmates sentencedAverage number of felony inmates totalAverage number of misdemeanor inmates unsentencedAverage number of misdemeanor inmates sentencedAverage number of misdemeanor inmates totalDay of month where county had most number of inmatesThe number of inmates on that dayAverage daily population of maximum security inmatesAverage daily population of medium security inmatesAverage daily population of minimum security inmatesNumber of mental health cases opened last day of monthNumber of new mental health cases open during monthInmates receiving psych medication on last day of monthInmates assigned to mental health beds on last day of monthInmates seen at sick call during monthDoctor occurrences during monthOff-site medical appointments during monthDental encounters during monthInmates assigned to medical beds on last day of monthAverage number of inmates not assigned to housingAverage number of inmates in contract beds in other jurisdictionsAverage number of federal inmates in facilities (by contract)Average number of state inmates in facilities (by contract)Average number of other county inmates in facilities (by contract)Average number of inmates sent or awaiting contract to prisonAverage number of inmates in hospitals outside jailTotal number of inmates booked during monthTotal number of pretrial released due to lack of housingTotal number of sentenced inmates released due to lack of housingTotal number of juveniles in custodyVariables in County-Level Data QuarterlyNumber of inmates classified as "3rd Strike"Number of inmates classified as "2nd Strike"Number of unserved felony warrants in countyNumber of unserved misdemeanor warrants in countyPercent of inmates believed to be illegal aliensNumber of inmates assaults on staffMoney spent on medication in previous quarterMoney spent on psych medication during previous quarterAverage length of stay (in days) for all released inmatesAverage length of stay (in days) for pretrial releasesAverage length of stay (in days) for sentenced inmate releases

In the United States, gun laws differ from state to state. While all citizens have the 'right to bear arms' ingrained in their Constitution, Americans who have a criminal record or suffer from mental illness may be restricted from gun ownership depending on the state they are living in. As of 2024, ** states had prohibited people with felony convictions from having a gun, while ** states barred firearm access by convicted domestic abusers. However, only ** states had restricted gun possession by domestic abusers under temporary restraining orders, despite commonly cited concerns that victims may face the most danger directly after leaving their abuser. In comparison, owning a firearm was outlawed by ** states for certain people with serious mental illness, defined as those who were involuntarily committed to a psychiatric hospital or found to be a danger to themselves or others. Although federal law already restricts such mentally ill individuals, as well as most convicted domestic abusers, from obtaining firearms, having statewide legislation is still considered crucial to ensure that the policy is properly enforced.

This Indicator measures the rate of adult felony arrests by race/ethnicity adjusted for population. Rate is calculated as the number of adult felony arrests per 100,000 people of each race/ethnicity that are 18 years of age and older. To determine the number of adults of each race/ethnicity in Oakland, we took the population by race/ethnicity for all ages and multiplied by the percent of Oakland’s population that is 18 and over (80.33%). This approach was necessary due to the lack of exact data available on the 18 and over population in Oakland by race/ethnicity.

In 2023 in the United States, 12 people were murdered by their employer. However, 3,527 people were killed by an acquaintance compared to 1,674 who were killed by a stranger. A ranking of the total number of murders by U.S. state can be found here.

In 2023, there were 14,327 murder offenders in the United States who were male, in comparison to 1,898 who were female. However, there were also 5,279 murder offenders where their gender was unknown. Homicides in the U.S. Murder and non-negligent manslaughter in the United States is defined as the willful killing of another human being. Justifiable homicides, or cases where a felon is killed by an officer in the line of duty or a felon is killed during a felony by a private citizen, are not included in murder counts by the Federal Bureau of Investigation (FBI). The total number of murders varies from state to state in the U.S., with more populous states having higher numbers of murders. Murder offenders and victims Most murder offenders in the United States are between the ages of 17 and 39, with the number of offenders declining steadily after age 40. Additionally, the highest rate of death by homicide was found among males between the ages of 15 and 24. The highest rate of death by homicide for females was for girls under the age of one.

In 2023, a total of 71 people were killed due to arson in the United States. This was significantly lower than the 312 people who were killed in robberies in the country in that same year.