Context

In 1975, the United States set a new record with 240,593 prisoners incarcerated by state or federal agencies. The United States achieved new record totals during each of the next 34 years. Today, there are over 1,500,000 prisoners in the United States. Over one quarter of the world's entire population of prisoners is located in the United States.

The U.S. Education deparment reports state and local government expenditures on prisons (and jails - not reflected in this dataset) have increased about three times as fast as spending on elementary and secondary education during this time period. Does this significant investment into imprisonment improve public safety? This dataset brings together crime and incarceration statistics to help researchers explore this relationship.

Content

The Bureau of Justice Statistics administers the National Prisoners Statistics Program (NPS), an annual data collection effort that began in response to a 1926 congressional mandate. The population statistics reflect each state's prisoner population as of December 31 for the recorded year. Prisoners listed under federal jurisdiction are incarcerated by the U.S. Bureau of Prisons.

The Uniform Crime Report (UCR) has served as the FBI's primary national data collection tool since a 1930 congressional mandate directed the Attorney General to "acquire, collect, classify, and preserve identification, criminal identification, crime, and other records." The FBI collects this information voluntarily submitted by local, state, and fedral law enforcement agencies. Some U.S. municipalities choose not to participate fully in the program. The crimes_estimated field indicates cases where the FBI estimated state totals due to lack of participation by some municipalities within a state. The crime_reporting_change field reflects instances when states' reporting standards change. For more information on the responsible use of this dataset, please see Uniform Crime Reporting Statistics: Their Proper Use

Acknowledgements

State and Federal prisoner population figures published by Bureau of Justice Statistics.

State crime and population statistics published by the FBI Uniform Crime Reporting (UCR) Program. https://www.ucrdatatool.gov/Search/Crime/State/RunCrimeStatebyState.cfm

Banner Photo by Oscar Söderlund on Unsplash

Inspiration

What is the relationship between incarceration rates and crime rates? Does mass incarceration improve public safety? See below for some recent statements from U.S. politicians related to the relationship between crime and incarceration. Are the data consistent with any of these statements?

"There is no better way to reduce crime than to identify, target, and incapacitate those hardened criminals... we cannot incapacitate these criminals unless we build sufficient prison and jail space to house them. " - Nominee for 85th U.S. Attorney General William Barr, [October 28, 1992][13]

"Violent crime has declined since the 1980s because mandatory minimums adopted then locked up violent criminals." - Senator Tom Cotton, August 15, 2018

"You may assume mass incarceration exists because people are committing more crimes. But that is not true... The incredibly costly reality is that prisons in our nation continue to grow irrespective of crime rates. It is a bureaucracy that has been expanding independent of our security or safety." - Senator Cory Booker, Apr 28, 2015

"It is far from clear whether this dramatic increase in incarceration for drug crimes has had enough of an effect on property and violent crime rates to justify the human toll of more incarceration." - Senator Ted Cruz, Apr 27, 2015

"For several decades, tough laws and long sentences have created the illusion that public safety is best served when we treat all offenders the same way: arrest, convict, incarcerate..." - Senator Kamala Harris, [Apr 27, 2015][11]

"We've got some space to put some people! We need to reverse a trend that suggested that criminals won't be confronted seriously with their crimes" - 84th U.S. Attorney General Jeff Sessions, [March 15, 2018][12]

...

In December 2022, the largest amount of prisoners held a lower secondary school degree. On the contrary, inmates with a professional school degree or a university degree accounted for the smallest groups of prison population broken down by education level.

Regional data about the educational level of prisoners show that prisoners with a lower secondary school degree amounted to *** thousands in Sicily and to *** thousands in Campania, the largest values nationwide.

Investigator(s): Bureau of Justice Statistics Conducted by the Bureau of Justice Statistics, this survey is part of a series of data gathering efforts undertaken to assist policymakers in assessing and remedying deficiencies in the nation's correctional institutions. Its primary objective is to produce national statistics of the state and sentenced federal prison populations across a variety of domains. The survey gathered information on demographic, socioeconomic, and criminal history characteristics of prisoners. Also obtained were details of prisoner’ military service, current offense and sentence, incident characteristics, and firearm possession and sources. Other information includes age at time of interview, ethnicity, education, lifetime drug use and alcohol use and treatment, mental and physical health and treatment, and pre-arrest employment and income. Data on characteristics of victims, prison programs and services, and rule violations are provided as well. With the 2016 administration, the survey was renamed the Survey of Prison Inmates. NACJD has prepared a resource guide for the Survey of Prison Inmates Series.

Dataset name: asppl_dataset_v2.csv

Version: 2.0

Dataset period: 06/07/2018 - 01/14/2022

Dataset Characteristics: Multivalued

Number of Instances: 8118

Number of Attributes: 9

Missing Values: Yes

Area(s): Health and education

Sources:

• Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a);

• Brazilian Occupational Classification (CBO) (Brasil, 2022b);

• National Registry of Health Establishments (CNES) (Brasil, 2022c);

• Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).

Description: The data contained in the asppl_dataset_v2.csv dataset (see Table 1) originates from participants of the technology-based educational course “Health Care for People Deprived of Freedom.” The course is available on the AVASUS (Brasil, 2022a). This dataset provides elementary data for analyzing the course’s impact and reach and the profile of its participants. In addition, it brings an update of the data presented in work by Valentim et al. (2021).

Table 1: Description of AVASUS dataset features.

Attributes	Description	datatype	Value
gender	Gender of the course participant.	Categorical.	Feminino / Masculino / Não Informado. (In English, Female, Male or Uninformed)
course_progress	Percentage of completion of the course.	Numerical.	Range from 0 to 100.
course_evaluation	A score given to the course by the participant.	Numerical.	0, 1, 2, 3, 4, 5 or NaN.
evaluation_commentary	Comment made by the participant about the course.	Categorical.	Free text or NaN.
region	Brazilian region in which the participant resides.	Categorical.	Brazilian region according to IBGE: Norte, Nordeste, Centro-Oeste, Sudeste or Sul (In English North, Northeast, Midwest, Southeast or South).
CNES	The CNES code refers to the health establishment where the participant works.	Numerical.	CNES Code or NaN.
health_care_level	Identification of the health care network level for which the course participant works.	Categorical.	“ATENCAO PRIMARIA”, “MEDIA COMPLEXIDADE”, “ALTA COMPLEXIDADE”, and their possible combinations. (In English "PRIMARY HEALTH CARE", "SECONDARY HEALTH CARE" AND "TERTIARY HEALTH CARE")
year_enrollment	Year in which the course participant registered.	Numerical.	Year (YYYY).
CBO	Participant occupation.	Categorical.	Text coded according to the Brazilian Classification of Occupations or “Indivíduo sem afiliação formal.” (In English “Individual without formal affiliation.”)

Dataset name: prison_syphilis_and_population_brazil.csv

Dataset period: 2017 - 2020

Dataset Characteristics: Multivalued

Number of Instances: 6

Number of Attributes: 13

Missing Values: No

Source:

• National Penitentiary Department (DEPEN) (Brasil, 2022d);

Description: The data contained in the prison_syphilis_and_population_brazil.csv dataset (see Table 2) originate from the National Penitentiary Department Information System (SISDEPEN) (Brasil, 2022d). This dataset provides data on the population and prevalence of syphilis in the Brazilian prison system. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil.

Table 2: Description of DEPEN dataset Features.

Attributes	Description	datatype	Value
Region	Brazilian region in which the participant resides. In addition, the sum of the regions, which refers to Brazil.	Categorical.	Brazil and Brazilian region according to IBGE: North, Northeast, Midwest, Southeast or South.
syphilis_2017	Number of syphilis cases in the prison system in 2017.	Numerical.	Number of syphilis cases.
syphilis_rate_2017	Normalized rate of syphilis cases in 2017.	Numerical.	Syphilis case rate.
syphilis_2018	Number of syphilis cases in the prison system in 2018.	Numerical.	Number of syphilis cases.
syphilis_rate_2018	Normalized rate of syphilis cases in 2018.	Numerical.	Syphilis case rate.
syphilis_2019	Number of syphilis cases in the prison system in 2019.	Numerical.	Number of syphilis cases.
syphilis_rate_2019	Normalized rate of syphilis cases in 2019.	Numerical.	Syphilis case rate.
syphilis_2020	Number of syphilis cases in the prison system in 2020.	Numerical.	Number of syphilis cases.
syphilis_rate_2020	Normalized rate of syphilis cases in 2020.	Numerical.	Syphilis case rate.
pop_2017	Prison population in 2017.	Numerical.	Population number.
pop_2018	Prison population in 2018.	Numerical.	Population number.
pop_2019	Prison population in 2019.	Numerical.	Population number.
pop_2020	Prison population in 2020.	Numerical.	Population number.

Dataset name: students_cumulative_sum.csv

Dataset period: 2018 - 2020

Dataset Characteristics: Multivalued

Number of Instances: 6

Number of Attributes: 7

Missing Values: No

Source:

• Virtual Learning Environment of the Brazilian Health System (AVASUS) (Brasil, 2022a);

• Brazilian Institute of Geography and Statistics (IBGE) (Brasil, 2022e).

Description: The data contained in the students_cumulative_sum.csv dataset (see Table 3) originate mainly from AVASUS (Brasil, 2022a). This dataset provides data on the number of students by region and year. In addition, it brings a rate that represents the normalized data for purposes of comparison between the populations of each region and Brazil. We used population data estimated by the IBGE (Brasil, 2022e) to calculate the rate.

Table 3: Description of Students dataset Features.

As of June 30, 2021, among prisoners for whom a school degree was recorded in Italy, the largest amount held a lower secondary school degree (middle school diploma). More specifically, such prisoners amounted to 2.4 thousand individuals in Sicily and 2.3 thousand individuals in Campania, the largest values in the country.

National data show that inmates with a professional school degree or a university degree accounted for the smallest groups of prison population broken down by education level.

The number of new prisoners entering prison for drug offenses by offense, education level, and gender

This project was centered on the apparent tension between keeping schools safe and keeping students attached to school. The project used comprehensive administrative data from the North Carolina public school system available through the North Carolina Education Research Data Center (NCERDC). This dataset, along with juvenile court record data and publicly-available data from the North Carolina adult criminal justice system, linked administrative information from the same individuals in both school disciplinary records and the juvenile and adult criminal justice systems. The ultimate goal of this project was to determine if different policy choices by schools causally decrease rates of in-school violence in the short run and/or increase rates of conviction and incarceration in the long term.

The 2019 Census of State and Federal Adult Correctional Facilities (CCF) was the ninth enumeration of state institutions and the sixth enumeration of federal institutions sponsored by the Bureau of Justice Statistics and its predecessors. Earlier censuses were completed in 1979 (ICPSR 7852), 1984 (ICPSR 8444), 1990 (ICPSR 9908), 1995 (ICPSR 6953), 2000 (ICPSR 4021), 2005 (ICPSR 24642), and 2012 (ICPSR 37294). The 2019 CCF consisted of two data collection instruments - one for confinement facilities and one for community-based facilities. For each facility, information was provided on facility operator; sex of prisoners authorized to be housed by facility; facility functions; percentage of prisoners authorized to leave the facility; one-day counts of prisoners by sex, race/ethnicity, special populations, and holding authority; number of walkaways occurring over a one-year period; and educational and other special programs offered to prisoners. Additional information was collected from confinement facilities, including physical security level; housing for special populations; capacity; court orders for specific conditions; one-day count of correctional staff by payroll status and sex; one-day count of security staff by sex and race/ethnicity; assaults and incidents caused by prisoners; number of escapes occurring over a one-year period; and work assignments available to prisoners. Late in the data collection to avoid complete nonresponse from facilities, BJS offered the option of providing critical data elements from the two data collection instruments. These elements included facility operator; sex of prisoners authorized to be housed by facility; facility functions; percentage of prisoners authorized to leave the facility; one-day counts of prisoners by sex, and holding authority. Physical security level was an additional critical data element for confinement facilities. The census counted prisoners held in the facilities, a custody count. Some prisoners who are held in the custody of one jurisdiction may be under the authority of a different jurisdiction. The custody count is distinct from a count of prisoners under a correctional authority's jurisdiction, which includes all prisoners over whom a correctional authority exercises control, regardless of where the prisoner is housed. A jurisdictional count is more inclusive than a prison custody count and includes state and federal prisoners housed in local jails or other non-correctional facilities.

Financial overview and grant giving statistics of Advocates For The Goucher Prison Education Partnership Inc

This paper presents a scoping review of relevant literature to characterise research on education in prisons. After reviewing 353 peer-reviewed articles spanning 10 years of research, we conclude that research on education in prisons in global research databases (i) is dominated by qualitative studies, (ii) is primarily focused on the English-speaking world, and (iii) shows a relatively strong representation of women. Eight research themes are presented in this paper, where we discuss what characterises research on education in prisons. Two main characteristics emerge: education in prisons as a phenomenon that needs to be justified, and education in prisons as a phenomenon that contributes to the imprisoned individual’s restoration. Finally, we offer suggestions for future research within this field.

Abstract The present article aims to understand the dynamics of pleasure and suffering relating to the work of youth and adult education teachers in prisons. It is based theoretically and methodologically in the Psychodynamics of Work that addresses the health of the worker. The qualitative method was used, performing individual interviews, semi-structured with ten teachers of Youth and Adult Education who work in prison. The analysis of the results showed that the organization of prisons interferes directly in the activities of these teachers. The relationship with the student is experienced as a moment of work pleasure, since the teachers find the recognition of their work activity at that moment, but they make reference to the prejudice that suffer from the society by the fact of working in the prisional space, the relatives, the colleagues of the regular network of education and of other areas of professional performance and within the own prison system. In conclusion, thinking about the work process necessarily involves a reflection on limits and possibilities, but mainly on responsibilities towards this population deprived of freedom.

Financial overview and grant giving statistics of Alliance for Higher Education in Prison

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) ...

Description

This dataset contains information about the prisoners in India in 2020. A criminal is a person who is guilty of a crime, notably breaking the law. A prisoner is a person incarcerated in a prison, while on trial or serving a sentence

Description

• It has 87 columns and 39 rows. The columns include the state or union territory, the educational standard, the domicile, the religion, the gender, the age group, the type of prison, and the type of offense.
• The rows include the total for each state or union territory and the total for all of India.
• The dataset is based on the Prison Statistics India (PSI) report published by the National Crime Records Bureau (NCRB).
• The dataset can be used for analysis and visualization of the prisoner's statistics

Features

Here is a list of first 10 column names and their descriptions: 1. Sl. No.: Serial number of the row. 2. State/UT: The state or union territory where the prison is located. 3. Educational Standard - Illiterate: The number of prisoners who are illiterate 4. Educational Standard - Below Class X: The number of prisoners who have completed less than 10 years of education. 5. Educational Standard - Class X & above but below Graduation: The number of prisoners who have completed 10 years of education or more but less than graduation 6. Educational Standard - Graduate: The number of prisoners who have completed graduation or higher education. 7. Educational Standard - Holding Tech. Degree/ Diploma: The number of prisoners who hold a technical degree or diploma 8. Educational Standard - Post Graduate: The number of prisoners who have completed post-graduation or higher education. 9. Educational Standard - Total: The total number of prisoners by educational standard. 10. Domicile - Belongs to State: The number of prisoners who belong to the state where the prison is located

As of 2021, around 9.2 percent of all prisoners on death row in the United States had at least some college education. The majority of death row prisoners, at 44.1 percent, were high school graduates or had their GED.

The U.S. Program for the International Assessment of Adult Competencies, National Supplement Prison Study (PIAAC Prison:14) is a study that is part of the Program for the International Assessment of Adult Competencies (PIAAC) program; program data is available since 2012 at . PIAAC Prison:14 (http://nces.ed.gov/surveys/piaac/national_supp.asp) is part of the National Supplement and draws from a sample of 1,200 inmates aged 18 to 74 years-old currently detained in State, Federal, or private prisons in the United States. The direct assessments of literacy, numeracy, and problem-solving in technology-rich environments are the same for the adults in prison. The background questionnaire was tailored specifically to address the experiences and needs of this subgroup. For example, the background questionnaire asks about activities in prison, such as participation in academic programs and ESL classes, experiences with prison jobs, and involvement in non-academic programs such as employment readiness classes.