As of 2022, Black people were more likely than those of other races to be imprisoned in the United States. In that year, the rate of imprisonment for Black men stood at 1,826 per 100,000 of the population. For Black women, this rate stood at 64 per 100,000 of the population.

In 2022, the incarceration rate of African Americans in local jails in the United States was *** incarcerations per 100,000 of the population -- the highest rate of any race or ethnicity. The second-highest incarceration rate was among American Indians/Alaska Natives, at *** incarcerations per 100,000 of the population.

In 2022, about 1,826 Black men per 100,000 residents were imprisoned in the United States. This rate was much lower for Black women, at 64 per 100,000 residents. The overall imprisonment rate in 2022 stood at 355 per 100,000 Americans.

Investigator(s): United States. Bureau of Justice Statistics Produces annual national- and state-level data on the number of prisoners in state and federal prison facilities. Aggregate data are collected on race and sex of prison inmates, inmates held in private facilities and local jails, system capacity, noncitizens, and persons age 17 or younger. Findings are released in the Prisoners series and the Corrections Statistical Analysis Tool (CSAT) - Prisoners. Data are from the 50 states departments of correction, the Federal Bureau of Prisons, and until 2001, from the District of Columbia (after 2001, felons sentenced under the District of Columbia criminal code were housed in federal facilities).

The data contain records of sentenced offenders in the custody of the Bureau of Prisons (BOP) at year-end of fiscal year 2003. The data include commitments of United States District Court, violators of conditions of release (e.g., parole, probation, or supervised release violators), offenders convicted in other courts (e.g., military or District of Columbia courts), and persons admitted to prison as material witnesses or for purposes of treatment, examination, or transfer to another authority. These data include variables that describe the offender, such as age, race, citizenship, as well as variables that describe the sentences and expected prison terms. The data file contains original variables from the Bureau of Prisons' SENTRY database, as well as "SAF" variables that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 7.9-7.16. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.

The National Prisoner Statistics (NPS) data collection began in 1926 in response to a congressional mandate to gather information on persons incarcerated in state and federal prisons. Originally under the auspices of the U.S. Census Bureau, the collection moved to the Bureau of Prisons in 1950, and then in 1971 to the National Criminal Justice Information and Statistics Service, the precursor to the Bureau of Justice Statistics (BJS) which was established in 1979. From 1979 to 2013, the Census Bureau was the NPS data collection agent. In 2014, the collection was competitively bid in conjunction with the National Corrections Reporting Program (NCRP), since many of the respondents for NPS and NCRP are the same. The contract was awarded to Abt Associates, Inc. The NPS is administered to 51 respondents. Before 2001, the District of Columbia was also a respondent, but responsibility for housing the District of Columbia's sentenced prisoners was transferred to the Federal Bureau of Prisons, and by yearend 2001 the District of Columbia no longer operated a prison system. The NPS provides an enumeration of persons in state and federal prisons and collects data on key characteristics of the nation's prison population. NPS has been adapted over time to keep pace with the changing information needs of the public, researchers, and federal, state, and local governments.

This data collection includes tabulations of annual adult admissions to federal and state correctional institutions by race. Data are provided for the years 1926 to 1986 and include tabulations for prisons in each of the 50 states and the District of Columbia, as well as federal prison totals and United States totals. The figures were derived from a voluntary reporting program in which each state, the District of Columbia, and the Federal Bureau of Prisons reported summary and detailed statistics as a part of the National Prisoner Statistics series. Individual state and United States population figures according to racial categories also are provided.

Investigator(s): Bureau of Justice Statistics This series of studies contains a descriptive analysis of federal and state-operated adult confinement and correctional facilities nationwide. The census included prisons, penitentiaries, and correctional facilities; boot camps; community corrections; prison farms; reception, diagnostic, and classification centers; road camps; forestry and conservation camps; youthful offender facilities (except in California); vocational training facilities; prison hospitals; and correctional drug and alcohol treatment facilities. Variables include physical security, age of facilities, functions of facilities, programs, inmate work assignments, staff employment, facilities under court order/consent decree for conditions of confinement, capital and operating expenditures, custody level of residents/inmates, one-day and average daily population counts, race/ethnicity of inmates, inmate deaths, special inmate counts, and assaults and incidents by inmates. The institution is the unit of analysis. The Census of State and Federal Adult Correctional Facilities is produced every 5 years.

In 2024, there were approximately 63,103 white prisoners in England and Wales, compared with 10,624 Black prisoners, and 7,067 Asian prisoners.

As of February 2025, El Salvador had the highest prisoner rate worldwide, with over 1,600 prisoners per 100,000 of the national population. Cuba, Rwanda, Turkmenistan, and the United States, rounded out the top five countries with the highest rate of incarceration. Homicides in El Salvador Interestingly, El Salvador, which long had the highest global homicide rates, has dropped out of the top 20 after a high number of gang members have been incarcerated. A high number of the countries with the highest homicide rate are located in Latin America. Prisoners in the United StatesThe United States is home to the largest number of prisoners worldwide. More than 1.8 million people were incarcerated in the U.S. at the beginning of 2025. In China, the estimated prison population totaled 1.69 million people that year. Other nations had far fewer prisoners. The largest share of the U.S. prisoners in federal correctional facilities were of African-American origin. As of 2020, there were 345,500 black, non-Hispanic prisoners, compared to 327,300 white, non-Hispanic inmates. The U.S. states with the largest number of prisoners in 2022 were Texas, California, and Florida. Over 160,000 prisoners in state facilities were sentenced for rape or sexual assault, which was the most common cause of imprisonment. The second most common was murder, followed by aggravated or simple assault.

The data contain records of sentenced offenders released from the custody of the Bureau of Prisons (BOP) during fiscal year 2003. The data include commitments of United States District Court, violators of conditions of release (e.g., parole, probation, or supervised release violators), offenders convicted in other courts (e.g., military or District of Columbia courts), and persons admitted to prison as material witnesses or for purposes of treatment, examination, or transfer to another authority. Records of offenders who exit federal prison temporarily, such as for transit to another location, to serve a weekend sentence, or for health care, are not included in the exiting cohort. These data include variables that describe the offender, such as age, race, citizenship, as well as variables that describe the sentences and expected prison terms. The data file contains original variables from the Bureau of Prisons' SENTRY database, as well as "SAF" variables that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 7.9-7.16. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.

A. SUMMARY Please note that the "Data Last Updated" date on this page denotes the most recent DataSF update and does not reflect the most recent update to this dataset. To confirm the completeness of this dataset please contact the Sheriff's Office at sheriff.tech.services@sfgov.org

The dataset provides summary information on individuals booked into the San Francisco City and County Jail since 2012, categorized by ethnicity. The table provides a breakdown of the total number of bookings by month and ethnicity. The unit of measure is the jail booking number. The data is collected by the Sheriff's Office and includes self-report and assigned data. However, some ethnicity categories with small sample sizes are grouped together to reduce the risk of re-identification and protect the privacy of individuals booked into jail.

The booking process refers to the procedure that occurs after an individual has been arrested and is taken into custody. The process begins with the arrest of an individual by law enforcement officers. The arrest can take place on the scene or at a later time if a warrant is issued. Once the individual has been arrested, and statutory law requires incarceration, they would be transported to the jail for booking. The arresting officer will record the reason for the arrest, along with any other relevant information. The sheriff’s deputies will then book the individual into jail, which involves taking their fingerprints, photograph, and recording personal information. The jail will assign a booking number, which is used to identify the individual throughout their time in custody. Once the booking process is complete, the individual will be incarcerated and will remain in custody until they are released per court order.

Disclaimer: The San Francisco Sheriff's Office does not guarantee the accuracy, completeness, or timeliness of the information as the data is subject to change as modifications and updates are completed.

B. HOW THE DATASET IS CREATED

When an arrest is presented to the Sheriff’s Office, relevant data is manually entered into the Sheriff Office's jail management system. Data reports are pulled from this system on a semi-regular basis, and added to Open Data.

C. UPDATE PROCESS This dataset is scheduled to update monthly.

D. HOW TO USE THIS DATASET This data can be used to identify trends and patterns in the jail population over time. The date in this dataset is based on the date the suspect was booked into county jail for the arresting incident. The unit of measurement for this dataset is the booking number. A jail booking number is a unique identifier assigned to each individual who is booked into a jail facility.

E. RELATED DATASETS • Booking by Age • Bookings by Race • Booking by Male/Female

A snapshot of the incarcerated population sentenced to the Indiana Department of Correction, including race, age, felony type, and most serious offense category. All data reflects December 31st of the selected year. This dataset contains the underlying data for the 'Population' tab of the 'Prison Incarceration' dashboard within the Public Safety domain.

This data collection contains information gathered in a two-part survey that was designed to assess institutional conditions in state and federal prisons and in halfway houses. It was one of a series of data-gathering efforts undertaken during the 1970s to assist policymakers in assessing and overcoming deficiencies in the nation's correctional institutions. This particular survey was conducted in response to a mandate set forth in the Crime Control Act of 1976. Data were gathered via self-enumerated questionnaires that were mailed to the administrators of all 558 federal and state prisons and all 405 community-based prerelease facilities in existence in the United States in 1979. Part 1 contains the results of the survey of state and federal adult correctional systems, and Part 2 contains the results of the survey of community-based prerelease facilities. The two files contain similar variables designed to tap certain key aspects of confinement: (1) inmate (or resident) counts by sex and by security class, (2) age of facility and rated capacity, (3) spatial density, occupancy, and hours confined for each inmate's (or resident's) confinement quarters, (4) composition of inmate (or resident) population according to race, age, and offense type, (5) inmate (or resident) labor and earnings, (6) race, age, and sex characteristics of prison (or half-way house) staff, and (7) court orders by type of order and pending litigation. Other data (contained in both files) include case ID number, state ID number, name of facility, and operator of facility (e.g., federal, state, local, or private).

This census is the seventh enumeration of state adult correctional institutions and the fourth of federal institutions sponsored by the Bureau of Justice Statistics and conducted by the Bureau of the Census. Earlier censuses were completed in 1979 (ICPSR 7852), 1984 (ICPSR 8444), 1990 (ICPSR 9908), 1995 (ICPSR 6953), and 2000 (ICPSR 4021). For each facility, information was provided on physical security, age, functions, capacity, court orders for specific conditions, one-day counts and average populations, race/ethnicity of inmates, inmate work assignments, inmate deaths, special inmate counts, assaults, and incidents caused by inmates.

In 1980, the National Institute of Justice awarded a grant to the Cornell University College of Human Ecology for the establishment of the Center for the Study of Race, Crime, and Social Policy in Oakland, California. This center mounted a long-term research project that sought to explain the wide variation in crime statistics by race and ethnicity. Using information from eight ethnic communities in Oakland, California, representing working- and middle-class Black, White, Chinese, and Hispanic groups, as well as additional data from Oakland's justice systems and local organizations, the center conducted empirical research to describe the criminalization process and to explore the relationship between race and crime. The differences in observed patterns and levels of crime were analyzed in terms of: (1) the abilities of local ethnic communities to contribute to, resist, neutralize, or otherwise affect the criminalization of its members, (2) the impacts of criminal justice policies on ethnic communities and their members, and (3) the cumulative impacts of criminal justice agency decisions on the processing of individuals in the system. Administrative records data were gathered from two sources, the Alameda County Criminal Oriented Records Production System (CORPUS) (Part 1) and the Oakland District Attorney Legal Information System (DALITE) (Part 2). In addition to collecting administrative data, the researchers also surveyed residents (Part 3), police officers (Part 4), and public defenders and district attorneys (Part 5). The eight study areas included a middle- and low-income pair of census tracts for each of the four racial/ethnic groups: white, Black, Hispanic, and Asian. Part 1, Criminal Oriented Records Production System (CORPUS) Data, contains information on offenders' most serious felony and misdemeanor arrests, dispositions, offense codes, bail arrangements, fines, jail terms, and pleas for both current and prior arrests in Alameda County. Demographic variables include age, sex, race, and marital status. Variables in Part 2, District Attorney Legal Information System (DALITE) Data, include current and prior charges, days from offense to charge, disposition, and arrest, plea agreement conditions, final results from both municipal court and superior court, sentence outcomes, date and outcome of arraignment, disposition, and sentence, number and type of enhancements, numbers of convictions, mistrials, acquittals, insanity pleas, and dismissals, and factors that determined the prison term. For Part 3, Oakland Community Crime Survey Data, researchers interviewed 1,930 Oakland residents from eight communities. Information was gathered from community residents on the quality of schools, shopping, and transportation in their neighborhoods, the neighborhood's racial composition, neighborhood problems, such as noise, abandoned buildings, and drugs, level of crime in the neighborhood, chances of being victimized, how respondents would describe certain types of criminals in terms of age, race, education, and work history, community involvement, crime prevention measures, the performance of the police, judges, and attorneys, victimization experiences, and fear of certain types of crimes. Demographic variables include age, sex, race, and family status. For Part 4, Oakland Police Department Survey Data, Oakland County police officers were asked about why they joined the police force, how they perceived their role, aspects of a good and a bad police officer, why they believed crime was down, and how they would describe certain beats in terms of drug availability, crime rates, socioeconomic status, number of juveniles, potential for violence, residential versus commercial, and degree of danger. Officers were also asked about problems particular neighborhoods were experiencing, strategies for reducing crime, difficulties in doing police work well, and work conditions. Demographic variables include age, sex, race, marital status, level of education, and years on the force. In Part 5, Public Defender/District Attorney Survey Data, public defenders and district attorneys were queried regarding which offenses were increasing most rapidly in Oakland, and they were asked to rank certain offenses in terms of seriousness. Respondents were also asked about the public's influence on criminal justice agencies and on the performance of certain criminal justice agencies. Respondents were presented with a list of crimes and asked how typical these offenses were and what factors influenced their decisions about such cases (e.g., intent, motive, evidence, behavior, prior history, injury or loss, substance abuse, emotional trauma). Other variables measured how often and under what circumstances the public defender and client and the public defender and the district attorney agreed on the case, defendant characteristics in terms of who should not be put on the stand, the effects of Proposition 8, public defender and district attorney plea guidelines, attorney discretion, and advantageous and disadvantageous characteristics of a defendant. Demographic variables include age, sex, race, marital status, religion, years of experience, and area of responsibility.

This data collection focused on problems in the women's correctional system over a 135-year period. More specifically, it examined the origins and development of prisoner and sentencing characteristics in three states. Demographic data on female inmates cover age, race, parents' place of birth, prisoner's occupation, religion, and marital status. Other variables include correctional facilities, offenses, minimum and maximum sentences, prior commitments, method of release from prison, and presence of crime partners.