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.

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 ***** per 100,000 of the population. For Black women, this rate stood at ** per 100,000 of the population.

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.

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.

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.

In 2023, around ******* Black/African American people were confined to local jails in the United States. In that year, Black and African American people were confined to local jails at a higher rate than any other ethnicity.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.The data were obtained from one state prison system that was characterized by a diverse and rising prison population. This prison system housed more than 30,000 inmates across 15 institutions (14 men's facilities; 1 women's facility). The data contain information on inmates' placements into different housing units across all 15 state prison complexes, including designated maximum security, restrictive housing units. Inmates placed in restrictive housing were in lockdown the majority of the day, had limited work opportunities, and were closely monitored. These inmates were also escorted in full restraints within the institution. They experienced little recreational time, visitation and phone privileges, and few interactions with other inmates. The data contain information on inmates' housing placements, institutional misconduct, risk factors, demographic characteristics, criminal history, and offense information. These data provide information on every housing placement for each inmate, including the time spent in each placement, and the reasons documented by correctional staff for placing inmates in each housing unit. Demographic information includes inmate sex, race/ethnicity, and age. The collection contains 1 Stata data file "Inmate-Housing-Placements-Data.dta" with 16 variables and 124,942 cases.

Prison Inmates in India

Demographics, Age, Education, Caste, Wages, Rehabilitation, Technical Info

By Rajanand Ilangovan [source]

About this dataset

This dataset provides a detailed view of prison inmates in India, including their age, caste, and educational background. It includes information on inmates from all states/union territories for the year 2019 such as the number of male and female inmates aged 16-18 years, 18-30 year old inmates and those above 50 years old. The data also covers total number of penalized prisoners sentenced to death sentence, life imprisonment or executed by the state authorities. Additionally, it provides information regarding the crimehead (type) committed by an inmate along with its grand total across different age groups. This dataset not only sheds light on India’s criminal justice system but also highlights prevelance of crimes in different states and union territories as well as providing insight into crime trends across Indian states over time

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How to use the dataset

This dataset provides a comprehensive look at the demographics, crimes and sentences of Indian prison inmates in 2019. The data is broken down by state/union territory, year, crime head, age groups and gender.

This dataset can be used to understand the demographic composition of the prison population in India as well as the types of crimes committed. It can also be used to gain insight into any changes or trends related to sentencing patterns in India over time. Furthermore, this data can provide valuable insight into potential correlations between different demographic factors (such as gender and caste) and specific types of crimes or length of sentences handed out.

To use this dataset effectively there are a few important things to keep in mind: •State/UT - This column refers to individual states or union territories in India where prisons are located •Year – This column indicates which year(s) the data relates to •Both genders - Female columns refer only to female prisoners while male columns refers only to male prisoners •Age Groups – 16-18 years old = 21-30 years old = 31-50 years old = 50+ years old •Crime Head – A broad definition for each type of crime that inmates have been convicted for •No Capital Punishment – The total number sentenced with capital punishment No Life Imprisonment – The total number sentenced with life imprisonment No Executed– The total number executed from death sentence Grand Total–The overall totals for each category

By using this information it is possible to answer questions regarding topics such as sentencing trends, types of crimes committed by different age groups or genders and state-by-state variation amongst other potential queries

Research Ideas

• Using the age and gender information to develop targeted outreach strategies for prisons in order to reduce recidivism rates.
• Creating an AI-based predictive model to predict crime trends by analyzing crime head data from a particular region/state and correlating it with population demographics, economic activity, etc.
• Analyzing the caste of inmates across different states in India in order to understand patterns of discrimination within the criminal justice system

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original.

Columns

File: SLL_Crime_headwise_distribution_of_inmates_who_convicted.csv | Column name | Description | |:--------------------------|:---------------------------------------------------------------------------------------------------| | STATE/UT | Name of the state or union territory where the jail is located. (String) | | YEAR | Year when the inmate population data was collected. (Integer) ...

This dataset contains the number of males and females committed to prison by type of committal and penal imprisonment. Committal may refer to a person's formal charging or commitment to stand trial for a criminal offence. Penal imprisonment refers to the act of being sentenced to serve time in prison as a punishment for a criminal offence.

To reduce respondent burden and improve data quality and timeliness, the Bureau of Justice Statistics (BJS) split the jail census into two parts: The Census of Jail Inmates was conducted with a reference date of June 30, 2005. The following spring it was followed by this enumeration, the Census of Jail Facilities, which collected data as of March 31, 2006. Previous jail enumerations were conducted in 1970 (ICPSR 7641), 1972 (ICPSR 7638), 1978 (ICPSR 7737), 1983 (ICPSR 8203), 1988 (ICPSR 9256), 1993 (ICPSR 6648), and 1999 (ICPSR 3318). The United States Census Bureau collected the data for the Bureau of Justice Statistics. The 2006 Census of Jail Facilities gathered data from all jail detention facilities holding inmates beyond arraignment, a period normally exceeding 72 hours. Jail facilities were operated by cities and counties, by private entities under contract to correctional authorities, and by the Federal Bureau of Prisons (BOP). Excluded from the census were physically separate temporary holding facilities such as drunk tanks and police lockups that do not hold persons after being formally charged in court. Also excluded were state-operated facilities in Connecticut, Delaware, Hawaii, Rhode Island, Vermont, and Alaska, which have combined jail-prison systems. Fifteen independently operated jails in Alaska were included in the Census. The census collected jurisdictional level information on the number of confined inmates; average daily population; number of separate jail facilities; renovation and building plans; court orders and consent decrees; staff by occupational category and race/ethnicity; jail programs; and costs of operation. The census also collected individual jail facility information on the purpose for which the jail held offenders; gender of the inmates authorized to house; functions, such as general adult population confinement, work release, and medical treatment; whether a separate temporary holding area or lockup was operated; rated capacity; number of confined inmates by gender and adult or juvenile status; year of original construction; and whether the facility ever had a major renovation.

This collection provides annual data on jail populations across the nation and examines the "spillover" on local jails resulting from the dramatic growth in federal and state prison populations. These data are used to track growth in the number of jails and their capacities nationally, changes in the demographics of the jail population (including sex, race, and adult or juvenile status), supervision status of persons held, prevalence of crowding issues, and a count of non-United States citizens within the jail population.

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.

In 2024, there were approximately ****** white prisoners in England and Wales, compared with ****** Black prisoners, and ***** Asian prisoners.

This dataset displays the inmate populations for all the Federal Prisons throughout the United States on 7.2.08. This weekly Population Report can be found on the Bureau of Prisons website at bop.gov. These facilities are positioned by their lat/lon and this dataset is updated on a weekly basis.

A. SUMMARY 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 race. The table provides a breakdown of the total number of bookings by month and race. 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 race 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. It is used to track the individual throughout their time in custody and to link their records to other relevant information, such as court appearances and medical records.

Note that this dataset should be used with the Jail Bookings by Ethnicity dataset for an accurate characterization of the Hispanic or Latin populations.

E. RELATED DATASETS • Bookings by Age • Bookings by Male/Female • Bookings by Ethnicity

A daily census of the inmates at the Allegheny County Jail (ACJ). Includes gender, race, age at booking, and current age. The records for each month contain a census for every day, therefore many inmates records are repeated each day.

Another representation of this data is the County's jail population management dashboard.

The Delaware Department of Correction (DOC) operates four prison facilities (Level V), eight quasi-incarceration community corrections facilities that serve as violation of probation centers or work release centers (Level IV), and five Probation & Parole locations (Levels III, II, and I). Offenders may also be supervised while on home confinement, or the offender may be supervised on an administrative basis only while restitution is paid. Some offenders are physically housed at the Delaware Psychiatric Center while in the custody of the DOC. This dataset provides a snapshot of the offender population in custody or under supervision at these various locations on the last day of each calendar month. A count of how many offenders by the year, month (snapshot of last day of month), county, type of institution, institution name, sentence type, gender, race, and ethnicity can be produced by selecting the desired variable in each category. Questions about offender data can be directed to the DOC’s Planning & Research Unit. Instructions for submitting a data request can be found here: http://www.doc.delaware.gov/datarequests.shtml. The DOC’s annual reports (http://www.doc.delaware.gov/annualReport.shtml) also contain a variety of information and data.

Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table name indicator name Universe source race notes timeframe source url

traffic_stops Traffic stops Traffic violation stops; ORI CA019xxxx (LA County Law Enforcement Agencies) CA DOJ Race is perceived by officer; any one race is alone or in combination with another race 2019 Annual Download from LAC Open Data

perceived_neighborhood_safe_2018 Perceived Their Neighborhood to Be Safe from Crime Estimate (%) Adults (Ages 18 Years and Older) LAC Health Survey

2018 https://www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

jail_pop_per100k_2016jail_pop_per100k_2019jail_pop_per100k_2021 Jail population rate per 100k population Average daily number of people held in jail in a given year; population denominator is ages 15 - 64 Vera Institute

2016 2019 2021 https://github.com/vera-institute/incarceration-trends/blob/master/README.mdhttps://trends.vera.org/state/CA/county/los_angeles_county

prison_pop_per100k_2016 Prison population rate per 100k population Point in time count of people in prison on December 31 of a given year; population denominator is ages 15 - 64 Vera Institute

2016 https://github.com/vera-institute/incarceration-trends/blob/master/README.md

arrests_adult_felony Total Felony Arrests - Adult Los Angeles County Arrests CA DOJ The subjectivity of the classification and labeling process must be considered in the analysis of race/ethnic group data. 2017-2021 https://openjustice.doj.ca.gov/data

arrests_adult_misdemeanor Total Misdemeanor Arrests - Adult Los Angeles County Arrests CA DOJ The subjectivity of the classification and labeling process must be considered in the analysis of race/ethnic group data. 2017-2021 https://openjustice.doj.ca.gov/data

domestic_violencedv_maledv_female Percent of Adults (Ages 18 Years and Older) Who Reported Ever Experiencing Physical and/or Sexual Violence by an Intimate Partner.
Adults/td> Los Angeles County Health Survey Overall and broken down by gender 2018 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

In France, in 2024, the majority of persons imprisoned were French, representing **** percent of the prison population, compared to around ** percent for prisoners with a nationality from the African continent.