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) ...

In 2014, the San Diego Association of Governments applied for and received funding from the National Institute of Justice (NIJ) to conduct a process and impact evaluation of the Veterans Moving Forward (VMF) program that was created by the San Diego County Sheriff's Department in partnership with the San Diego Veterans Administration (VA) in 2013. VMF is a veteran-only housing unit for male inmates who have served in the U.S. military. When the grant was written, experts in the field had noted that the population of veterans returning to the U.S. with numerous mental health issues, including post-traumatic stress disorder (PTSD), traumatic brain injury (TBI), and depression, were increasing and as a result, the number of veterans incarcerated in jails and prisons was also expected to increase. While numerous specialized courts for veterans had been implemented across the country at the time, veteran-specific housing units for those already sentenced to serve time in custody were rarer and no evaluations of these units had been published. Since this evaluation grant was awarded, the number of veteran-only housing units has increased, demonstrating the need for more evaluation information regarding lessons learned. A core goal when creating VMF was to structure an environment for veterans to draw upon the positive aspects of their shared military culture, create a safe place for healing and rehabilitation, and foster positive peer connections. There are several components that separate VMF from traditional housing with the general population that relate to the overall environment, the rehabilitative focus, and initiation of reentry planning as early as possible. These components include the selection of correctional staff with military backgrounds and an emphasis on building on their shared experience and connecting through it; a less restrictive and more welcoming environment that includes murals on the walls and open doors; no segregation of inmates by race/ethnicity; incentives including extended dayroom time and use of a microwave and coffee machine (under supervision); mandatory rehabilitative programming that focuses on criminogenic and other underlying risks and needs or that are quality of life focused, such as yoga, meditation, and art; a VMF Counselor who is located in the unit to provide one-on-one services to clients, as well as provide overall program management on a day-to-day basis; the regular availability of VA staff in the unit, including linkages to staff knowledgeable about benefits and other resources available upon reentry; and the guidance and assistance of a multi-disciplinary team (MDT) to support reentry transition for individuals needing additional assistance. The general criteria for housing in this veteran module includes: (1) not being at a classification level above a four, which requires a maximum level of custody; (2) not having less than 30 days to serve in custody; (3) no state or federal prison holds and/or prison commitments; (4) no fugitive holds; (5) no prior admittance to the psychiatric security unit or a current psychiatric hold; (6) not currently a Post-Release Community Supervision Offender serving a term of flash incarceration; (7) not in custody for a sex-related crime or requirement to register per Penal Code 290; (8) no specialized housing requirements including protective custody, administration segregation, or medical segregation; and (9) no known significant disciplinary incidents.

Abstract copyright UK Data Service and data collection copyright owner.The Surveys of Psychiatric Morbidity in Great Britain aim to provide up-to-date information about the prevalence of psychiatric problems among people in Great Britain, as well as their associated social disabilities and use of services. The series began in 1993, and so far consists of the following surveys:OPCS Surveys of Psychiatric Morbidity: Private Household Survey, 1993, covering 10,000 adults aged 16-64 years living in private households;a supplementary sample of 350 people aged 16-64 with psychosis, living in private households, which was conducted in 1993-1994 and then repeated in 2000;OPCS Surveys of Psychiatric Morbidity: Institutions Sample, 1994, which covered 1,200 people aged 16-64 years living in institutions specifically catering for people with mental illness;OPCS Survey of Psychiatric Morbidity among Homeless People, 1994, which covered 1,100 homeless people aged 16-64 living in hostels for the homeless or similar institutions. The sample also included 'rough sleepers';ONS Survey of Psychiatric Morbidity among Prisoners in England and Wales, 1997;Mental Health of Children and Adolescents in Great Britain, 1999;Psychiatric Morbidity among Adults Living in Private Households, 2000, which repeated the 1993 survey;Mental Health of Young People Looked After by Local Authorities in Great Britain, 2001-2002;Mental Health of Children and Young People in Great Britain, 2004; this survey repeated the 1999 surveyAdult Psychiatric Morbidity Survey, 2007; this survey repeated the 2000 private households survey. The Information Centre for Health and Social Care took over management of the survey in 2007.Adult Psychiatric Morbidity Survey, 2014: Special Licence Access; this survey repeated the 2000 and 2007 surveys. NHS Digital are now responsible for the surveys, which are now sometimes also referred to as the 'National Survey of Mental Health and Wellbeing'. Users should note that from 2014, the APMS is subject to more restrictive Special Licence Access conditions, due to the sensitive nature of the information gathered from respondents.Mental Health of Children and Young People in England, 2017: Special Licence; this survey repeated the 1999 and 2004 surveys, but only covering England. Users should note that this study is subject to more restrictive Special Licence Access conditions, due to the sensitive nature of the information gathered from respondents.The UK Data Service holds data from all the surveys mentioned above apart from the 1993-1994/2000 supplementary samples of people with psychosis. The Survey of Psychiatric Morbidity among Prisoners in England and Wales was commissioned by the Department of Health in 1997. It aimed to provide up-to-date baseline information about the prevalence of psychiatric problems among male and female remand and sentenced prisoners in order to inform policy decisions about services. Wherever possible, the survey utilised similar assessment instruments to those used in earlier surveys to allow comparison with corresponding data from the OPCS/ONS surveys of individuals resident in private household, institutions catering for people with mental health problems, and homeless people (see SNs 3560, 3585 and 3642 respectively). In addition the survey aimed to examine the varying use of services and the receipt of care in relation to mental disorder and to establish key, current and lifetime factors which may be associated with mental disorders of prisoners. Main Topics: The dataset contains the data from interviews with 3,142 prisoners aged 16 to 64 years from all prisons in England and Wales. These interviews included assessments of neurosis, psychosis, personality disorder, alcohol and drug dependence, deliberate self-harm, post-traumatic stress and intellectual functioning. In addition they included information on use of services before and in prison, key life events, social and economic functioning and a range of socio-demographic information. Separate samples of male remand, male sentenced, and female prisoners were selected. Information was also collected from prison records (the Local Inmates Directory System - LIDS) and medical records if permission was granted by the respondent. A sub-sample of 505 respondents also undertook a second clinical interview, and these data are included in their records on the SPSS file. Standard Measures Personality disorder (clinical interview): Structured Clinical Interview for DSM-IV (SCID-II). Psychotic disorder (clinical interview): Schedules for Clinical Assessment in Neuropsychiatry (SCAN) (version 1.0). Neurotic disorder (lay interview): Clinical Interview Schedule - Revised (CIS-R). Self-harm (lay interview): suicide attempts and ideation: five questions (based on the work of Paykel et al). Alcohol misuse (lay interview): Alcohol Use Disorders Identification Test (AUDIT). Drug dependence (lay interview): five questions taken from the ECA study and used in other OPCS (ONS) psychiatric morbidity surveys. Intellectual functioning (lay interview): QUICK test.

The National Justice Agency List is a master name and address file created and maintained by the Census Bureau for the Bureau of Justice Statistics. The 1995 data provide information on 11 separate sectors of criminal justice agencies. Every sector file has variables containing the names and addresses of agencies in that sector and information relevant only to the agencies within the sector. The following files comprise the collection: Part 1 -- Public Defender Agencies: Variables include type of agency and agency structure. Part 2 -- Law Enforcement Agencies: Variables include type of agency and agency structure. Part 3 -- Courts: Variables include type of agency and agency structure. Part 4 -- Probation and Parole Agencies: Variables include type of agency. Part 5 -- Juvenile Detention and Correctional Facilities: Variables include type of facility, sex of residents, and resident population. Part 6 -- Local Adult Corrections Agencies: Variables include number of female inmates, number of male inmates, type of facility, and average daily population of inmates. Part 7 -- State Adult Correctional Facilities: Variables include type of institution, average daily population of inmates, and sex of inmates. Part 8 -- Federal Adult Correctional Facilities: Variables include type of facility, average daily population of inmates, and sex of inmates. Part 9 -- Other Justice Agencies: Variables include type of agency. Part 10 -- Prosecution and Civil Attorney Agencies: Variables include type of agency and agency structure. Part 11 -- Federal and Indian Tribal Agencies: Variables include type of justice sector.