Hong Kong had the largest share of female prisoners as of April 2025, with over ** percent of its detainees being women. Macau had the second-highest rate at over ** percent. In the United States, *** percent of inmates were women.

Publicly available official statistics of the Ministry of Internal Affairs of the Russian Federation on the number of female offenders in 2023-2024 by regions.

In 2023, the number of female inmates sentenced to death in Japanese penal institutions amounted to *****. There were no execution during the year.

In the late 1970s, the Rand Corporation pioneered a method of collecting crime rate statistics. They obtained reports of offending behavior--types and frequencies of crimes committed--directly from offenders serving prison sentences. The current study extends this research by exploring the extent to which variation in the methodological approach affects prisoners' self-reports of criminal activity. If the crime rates reported in this survey remained constant across methods, perhaps one of the new techniques developed would be easier and/or less expensive to administer. Also, the self-reported offending rate data for female offenders in this collection represents the first time such data has been collected for females. Male and female prisoners recently admitted to the Diagnostic Unit of the Colorado Department of Corrections were selected for participation in the study. Prisoners were given one of two different survey instruments, referred to as the long form and short form. Both questionnaires dealt with the number of times respondents committed each of eight types of crimes during a 12-month measurement period. The crimes of interest were burglary, robbery, assault, theft, auto theft, forgery/credit card and check-writing crimes, fraud, and drug dealing. The long form of the instrument focused on juvenile and adult criminal activity and covered the offender's childhood and family. It also contained questions about the offender's rap sheet as one of the bases for validating the self-reported data. The crime count sections of the long form contained questions about motivation, initiative, whether the offender usually acted alone or with others, and if the crimes recorded included crimes against people he or she knew. Long-form data are given in Part 1. The short form of the survey had fewer or no questions compared with the long form on areas such as the respondent's rap sheet, the number of crimes committed as a juvenile, the number of times the respondent was on probation or parole, the respondent's childhood experiences, and the respondent's perception of his criminal career. These data are contained in Part 2. In addition, the surveys were administered under different conditions of confidentiality. Prisoners given what were called "confidential" interviews had their names identified with the survey. Those interviewed under conditions of anonymity did not have their names associated with the survey. The short forms were all administered anonymously, while the long forms were either anonymous or confidential. In addition to the surveys, data were collected from official records, which are presented in Part 3. The official record data collection form was designed to collect detailed criminal history information, particularly during the measurement period identified in the questionnaires, plus a number of demographic and drug-use items. This information, when compared with the self-reported offense data from the measurement period in both the short and long forms, allows a validity analysis to be performed.

There were about 87,784 female prisoners under the jurisdiction of state or federal correctional authorities in the United States as of December 2022. This is an increase from the previous year, when there were 83,651 female prisoners in the country.

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.

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

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

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) ...

The purpose of this study was to conduct a national-scale evaluation of correctional facilities housing female offenders in order to assess the effectiveness of current programs, including alternative sanctions and treatment programs, and management practices. The goal was to gather information on "what works for which women" with respect to the program characteristics most related to positive outcomes. The first stage of the study consisted of gathering the opinions of administrators in state departments of corrections, including state-level administrators and administrators in institutions for women (Part 1). Administrators from jails that housed women were also interviewed (Part 2). Data collected for Parts 1 and 2 focused on attitudes toward the influx of women into jails and prisons, the needs of incarcerated women, and management and program approaches for meeting those needs. Respondents were asked to identify programs that in their view stood out as especially effective in meeting the needs of incarcerated women. From this list of nominated programs, researchers conducted 62 in-depth telephone interviews with administrators of programs located in jails, prisons, and the community (Part 3). A supplement to this study consisted of telephone interviews with 11 program directors who headed mental health programs that appeared to be "state of the art" for incarcerated women (Part 4). Variables in Parts 1-4 that concern the nominated programs include the underlying principles guiding the programs, whom the programs targeted, what types of staff were employed by the programs, the most positive effects of the programs, and whether program evaluations had been completed. Program effort variables found in Parts 1-4 cover whether the programs focused on trying to treat substance abuse, stop child abuse, provide women with nontraditional job skills, parenting skills, HIV/AIDS education, and life skills, change cognitive thinking, and/or promote self-esteem. Several variables common to Parts 1-3 include whether the programs provided women with follow-up/transitional help, helped to stimulate pre-release planning, allowed visits between women and children, or used ex-offenders, ex-substance users, volunteers, or outside community groups to work with the women. Variables focusing on the types of assessment tools used cover medical assessments, VD screening, reading/math ability screening, mental health screening, substance abuse screening, needs regarding children screening, and victim-spouse abuse screening. Variables pertaining to institution management include background knowledge needed to manage a facility, the types of management styles used for managing female offenders, security and other operational issues, problems with cross-sex supervision, and handling complaints. Similar variables across Parts 1, 2, and 4 deal with the impact of private or state funding, such as respondents' views on the positive and negative outcomes of privatization and of using state services. Both Parts 1 and 2 contain information on respondents' views regarding the unique needs of women offenders, which programs were especially for women, and which program needs were more serious than others. Planning variables in Parts 1 and 2 include whether there were plans to have institutions link with other state agencies, and which programs were most in need of expansion. Further common variables concerned the influx of women in prison, including how administrators were dealing with the increasing number of women offenders, whether the facilities were originally designed for women, how the facilities adapted for women, and the number of women currently in the facilities. In addition, Part 1 contains unique variables on alternative, intermediate sanction options for women, such as the percentage of women sent to day supervision/treatment and sent to work release centers, why it was possible to use intermediate sanctions, and how decisions were made to use intermediate sanctions. Variables dealing with funding and the provision of services to women include the type of private contractor or government agency that provided drug treatment, academic services, and vocational services to women, and the nature of the medical and food services provided to women. Variables unique to Part 2 pertain to the type of offender the jail housed, including whether the jurisdiction had a separate facility for pretrial or sentenced offenders, the total rated capacity of the jail, the average daily population of pretrial females, whether the jail was currently housing state inmates, and the impact on local inmates of being housed with state inmates. Variables concerning classification and assessment focused on the purpose of the classification process for female offenders, whether the classification process was different for male and female offenders, and a description of the process used. Variables specific to Part 3 deal with characteristics of the participants, such as whether program participants were involved in a case management system, the approximate number of women and men participating in the programs, whether offenders were tried and awaiting sentence or were on probation, and the number of hours a week that individuals participated in the program. Program structure variables include whether the program was culture- or gender-specific, restrictions on program participants, and who established the restrictions. Programming strategy variables cover identifying strategies used for meeting the needs of women offenders with short sentences, strategies for women with long sentences, and what stood in the way of greater use of intermediate sanctions. Part 4 contains variables on the size of the mental health program/unit, including the number of beds in the mental health unit, the number of beds set aside for different types of diagnoses, and the number of women served annually. Diagnosis variables provide information on who was responsible for screening women for mental health needs, whether women were re-evaluated at any time other than at intake, and the most common mental health problems of women in the unit. Variables on running the program include whether the program/unit worked with private or public hospitals, the factors that hindered coordination of services among local or state facilities, the types of services affected by budget constraints, and the strategies used to prevent women from harming themselves and others. Staffing variables cover the number of psychologists, social workers, nurses, and correctional officers that worked in the mental health unit. Demographic variables were similar for all four data files. These include the institution level, the type of respondent interviewed, respondents' gender and educational background, and the number of years they had been in their positions, were employed in corrections, and had worked in women's facilities.

This statistic shows number of incarcerated women in the United States in 2015, by offense type. In 2015, there were around ****** women incarcerated prisons across the United States for drug offenses.

The graph shows the number of violent crime victims in the United States by gender from 2015 to 2025. The x-axis represents the years, while the y-axis indicates the number of male and female victims reported annually. Male victim counts range from a low of 181,851 in 2015 to a peak of 580,445 in 2023, while female victim counts range from 165,060 in 2015 to a high of 531,872 in 2023. Both genders show a consistent upward trend from 2015 to 2023, followed by a sharp drop in 2025. The data illustrates parallel trends for both male and female victims across the observed period.

A comprehensive list of data sources relating to violence against women and girls, bringing together a range of different sources from across government, academia and the voluntary sector.

This data collection includes tabulations of annual adult admissions to federal and state correctional institutions by gender for the years 1926 through 1987. The two data files have identical structures: Part 1 includes information on male admissions, and Part 2 includes information on female admissions. The 3,348 cases in each part include one case for each of the 62 years of the collection for each of the following 54 categories: the 50 states, the District of Columbia, federal institutional totals, state cumulative totals, and United States totals (the sum of the federal and state cumulative totals). The figures were drawn 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 part of the National Prisoner Statistics reporting series. Each file also includes individual state and United States general population figures.

This series records a variety of statistical information on female prisoners, within Pentridge Prison (Female Division) (1953-1956) and Fairlea Prison (1956-1971). As during the date range of this series, female prisoners were only housed in one institution, the statistics from each of these prisons represent the whole female prison population in Victoria.

Prisons were required to produce a number of statistical reports each year, showing the prisons monthly figures for various data, including:

Classification of prisoners offences
Return showing offences of prisoners and punishments awarded
Discharges and receptions
Classification of prisoners sentences
Classification of prisoners birthplaces, religions, age groups
Classification of church services and attendances
Monthly earnings of prison labour (for tasks such as laundry, sewing)

Prison statistical reports such as those in this series were summarised for the Penal & Gaols Branchs (and subsequent superior agencies) annual reports which are published in the Papers Presented to Parliament.

This series was previously registered with the title Female Division Miscellaneous Statistics Book.

A Ministry of Justice publication under section 95 of the Criminal Justice Act 1991. To avoid discrimination in the Criminal Justice System on grounds of sex, the Secretary of State for the Ministry of Justice publishes details relating to women's experience of the CJS as victims, suspects, defendants, offenders and employees Source agency: Justice Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Women and the Criminal Justice System

Abstract The scope was to estimate the prevalence of arterial hypertension (AHT) and associated risk factors among female prisoners. Data from the National Health Survey of the Female Prison Population and Prison Guards were used, investigating sociodemographic variables, prison characteristics, health behaviors and conditions. Information was collected through a self-administered questionnaire, and the magnitude of the association was estimated by the odds ratio and 95% confidence interval. Of the 1,327 prisoner participants, 24.4% were hypertensive, the majority were 31 years of age or older (54.6%), and 51.5% self-reported mixed race. After adjustment for associated risk factors in the bivariate analysis, a direct relationship between age and AHT was observed, in which age equal to/over 41 years was independently associated with a 7-fold greater chance of having AHT, compared to those under 25 years of age. Those who self-reported mixed race, had high cholesterol, were obese and were also independently associated with a higher prevalence of AHT. The greater the number of people with whom the inmate shares a cell was associated with a higher prevalence of AHT, but without a dose-response relationship. The conclusion drawn is that age, race, obesity, physical inactivity and stress are risk factors for AHT in female prisoners.

In 2022, there were slightly more female victims of violent crime than male victims in the United States, with about ********* male victims and ********* female victims. These figures are a significant increase from the previous year, when there were ********* male victims and ********* female victims. What counts as violent crime? Violent crime in the United States includes murder, rape, sexual assault, robbery, and assault. While violent crime across all areas has been steadily falling over the past few decades, the rate of aggravated assault is still relatively high, at ***** cases per 100,000 of the population. In 2021, there were more property crimes committed in the U.S. than there were violent crimes. Keep your enemies closer It is usually said that most victims know their attacker, and the data backs this up. In 2021, very few murders were committed by strangers. The same goes for rape and sexual assault victims; the majority were perpetrated by acquaintances, intimate partners, or relatives.

Abstract The majority of the women in prisons comes from the poorest strata of society with limited access to education, income and health services. This contributes to the fact that female prisoners have a higher burden of adverse health events than both male prisoners and women in general population We objectived to estimate the prevalence of different morbidities and risk factors among female prisoners in Brazil. A total of 1,327 women were recruited in this cross-sectional study. Data were collected using a using audio computer-assisted self-interviewing questionnaire, rapid antibody tests and physical examination. The higher prevalences was of syphilis, infection sexually disease, arterial hypertense, asthma, common mental disorders and severe physical violence. Regarding risk factors, 36.3% have good knowledge about HIV, 55.8% were smokers, 72.3% had ever used any illicit drug, 92.1% are sedentary and 92.1% maintained an unhealthy diet. Female prisoners are disproportionately affected by various adverse health conditions. There is a need for an effective surveillance system inside prisons for early diagnosis and treatment.

In 2022, 0.2 percent of female prisoners in the United States were aged between 18 and 19 years old. In that year, 16.1 percent of male prisoners in the U.S. were between the ages of 30 and 34 years old.