100+ datasets found
  1. M

    Mexico Imprisonment rate - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 23, 2018
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    Globalen LLC (2018). Mexico Imprisonment rate - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Mexico/prisoners/
    Explore at:
    excel, csv, xmlAvailable download formats
    Dataset updated
    Feb 23, 2018
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2003 - Dec 31, 2017
    Area covered
    Mexico
    Description

    Mexico: Number of prisoners per 100,000 people: For that indicator, we provide data for Mexico from 2003 to 2017. The average value for Mexico during that period was 184 prisoners per 100,000 people with a minimum of 141 prisoners per 100,000 people in 2017 and a maximum of 208 prisoners per 100,000 people in 2013. The latest value from 2017 is 141 prisoners per 100,000 people. For comparison, the world average in 2017 based on 146 countries is 182 prisoners per 100,000 people.

  2. G

    Imprisonment rate by country, around the world | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Oct 30, 2023
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    Globalen LLC (2023). Imprisonment rate by country, around the world | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/rankings/prisoners/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Oct 30, 2023
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2002 - Dec 31, 2017
    Area covered
    World
    Description

    The average for 2017 based on 138 countries was 174 prisoners per 100,000 people. The highest value was in El Salvador: 601 prisoners per 100,000 people and the lowest value was in San Marino: 9 prisoners per 100,000 people. The indicator is available from 2002 to 2017. Below is a chart for all countries where data are available.

  3. H

    Replication data for: The Public's Increasing Punitiveness and Its Influence...

    • dataverse.harvard.edu
    pdf +2
    Updated May 20, 2015
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    Harvard Dataverse (2015). Replication data for: The Public's Increasing Punitiveness and Its Influence on Mass Incarceration in the United States [Dataset]. http://doi.org/10.7910/DVN/24827
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    tsv(3170), text/x-stata-syntax; charset=us-ascii(7280), pdf(45757)Available download formats
    Dataset updated
    May 20, 2015
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    1952 - 2010
    Area covered
    United States
    Description

    Following more than 30 years of rising incarceration rates, the United States now imprisons a higher proportion of its population than any country in the world. Building on theories of representation and organized interest group behavior, this article argues that an increasingly punitive public has been a primary reason for this prolific expansion. To test this hypothesis, I generate a new over-time measure of the public’s support for being tough on crime. The analysis suggests that, controlling for the crime rate, illegal drug use, inequality, and the party in power, since 1953 public opinion has been a fundamental determinant of changes in the incarceration rate. If the public’s punitiveness had stopped rising in the mid-1970s, the results imply that there would have been approximately 20% fewer incarcerations. Additionally, an analysis of congressional attention to criminal justice issues supports the argument that the public’s attitudes have led, not followed, political elites.

  4. The Marshall Project: COVID Cases in Prisons

    • data.world
    csv, zip
    Updated Apr 6, 2023
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    The Associated Press (2023). The Marshall Project: COVID Cases in Prisons [Dataset]. https://data.world/associatedpress/marshall-project-covid-cases-in-prisons
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Apr 6, 2023
    Dataset provided by
    data.world, Inc.
    Authors
    The Associated Press
    Time period covered
    Jul 31, 2019 - Aug 1, 2021
    Description

    Overview

    The Marshall Project, the nonprofit investigative newsroom dedicated to the U.S. criminal justice system, has partnered with The Associated Press to compile data on the prevalence of COVID-19 infection in prisons across the country. The Associated Press is sharing this data as the most comprehensive current national source of COVID-19 outbreaks in state and federal prisons.

    Lawyers, criminal justice reform advocates and families of the incarcerated have worried about what was happening in prisons across the nation as coronavirus began to take hold in the communities outside. Data collected by The Marshall Project and AP shows that hundreds of thousands of prisoners, workers, correctional officers and staff have caught the illness as prisons became the center of some of the country’s largest outbreaks. And thousands of people — most of them incarcerated — have died.

    In December, as COVID-19 cases spiked across the U.S., the news organizations also shared cumulative rates of infection among prison populations, to better gauge the total effects of the pandemic on prison populations. The analysis found that by mid-December, one in five state and federal prisoners in the United States had tested positive for the coronavirus -- a rate more than four times higher than the general population.

    This data, which is updated weekly, is an effort to track how those people have been affected and where the crisis has hit the hardest.

    Methodology and Caveats

    The data tracks the number of COVID-19 tests administered to people incarcerated in all state and federal prisons, as well as the staff in those facilities. It is collected on a weekly basis by Marshall Project and AP reporters who contact each prison agency directly and verify published figures with officials.

    Each week, the reporters ask every prison agency for the total number of coronavirus tests administered to its staff members and prisoners, the cumulative number who tested positive among staff and prisoners, and the numbers of deaths for each group.

    The time series data is aggregated to the system level; there is one record for each prison agency on each date of collection. Not all departments could provide data for the exact date requested, and the data indicates the date for the figures.

    To estimate the rate of infection among prisoners, we collected population data for each prison system before the pandemic, roughly in mid-March, in April, June, July, August, September and October. Beginning the week of July 28, we updated all prisoner population numbers, reflecting the number of incarcerated adults in state or federal prisons. Prior to that, population figures may have included additional populations, such as prisoners housed in other facilities, which were not captured in our COVID-19 data. In states with unified prison and jail systems, we include both detainees awaiting trial and sentenced prisoners.

    To estimate the rate of infection among prison employees, we collected staffing numbers for each system. Where current data was not publicly available, we acquired other numbers through our reporting, including calling agencies or from state budget documents. In six states, we were unable to find recent staffing figures: Alaska, Hawaii, Kentucky, Maryland, Montana, Utah.

    To calculate the cumulative COVID-19 impact on prisoner and prison worker populations, we aggregated prisoner and staff COVID case and death data up through Dec. 15. Because population snapshots do not account for movement in and out of prisons since March, and because many systems have significantly slowed the number of new people being sent to prison, it’s difficult to estimate the total number of people who have been held in a state system since March. To be conservative, we calculated our rates of infection using the largest prisoner population snapshots we had during this time period.

    As with all COVID-19 data, our understanding of the spread and impact of the virus is limited by the availability of testing. Epidemiology and public health experts say that aside from a few states that have recently begun aggressively testing in prisons, it is likely that there are more cases of COVID-19 circulating undetected in facilities. Sixteen prison systems, including the Federal Bureau of Prisons, would not release information about how many prisoners they are testing.

    Corrections departments in Indiana, Kansas, Montana, North Dakota and Wisconsin report coronavirus testing and case data for juvenile facilities; West Virginia reports figures for juvenile facilities and jails. For consistency of comparison with other state prison systems, we removed those facilities from our data that had been included prior to July 28. For these states we have also removed staff data. Similarly, Pennsylvania’s coronavirus data includes testing and cases for those who have been released on parole. We removed these tests and cases for prisoners from the data prior to July 28. The staff cases remain.

    About the Data

    There are four tables in this data:

    • covid_prison_cases.csv contains weekly time series data on tests, infections and deaths in prisons. The first dates in the table are on March 26. Any questions that a prison agency could not or would not answer are left blank.

    • prison_populations.csv contains snapshots of the population of people incarcerated in each of these prison systems for whom data on COVID testing and cases are available. This varies by state and may not always be the entire number of people incarcerated in each system. In some states, it may include other populations, such as those on parole or held in state-run jails. This data is primarily for use in calculating rates of testing and infection, and we would not recommend using these numbers to compare the change in how many people are being held in each prison system.

    • staff_populations.csv contains a one-time, recent snapshot of the headcount of workers for each prison agency, collected as close to April 15 as possible.

    • covid_prison_rates.csv contains the rates of cases and deaths for prisoners. There is one row for every state and federal prison system and an additional row with the National totals.

    Queries

    The Associated Press and The Marshall Project have created several queries to help you use this data:

    Get your state's prison COVID data: Provides each week's data from just your state and calculates a cases-per-100000-prisoners rate, a deaths-per-100000-prisoners rate, a cases-per-100000-workers rate and a deaths-per-100000-workers rate here

    Rank all systems' most recent data by cases per 100,000 prisoners here

    Find what percentage of your state's total cases and deaths -- as reported by Johns Hopkins University -- occurred within the prison system here

    Attribution

    In stories, attribute this data to: “According to an analysis of state prison cases by The Marshall Project, a nonprofit investigative newsroom dedicated to the U.S. criminal justice system, and The Associated Press.”

    Contributors

    Many reporters and editors at The Marshall Project and The Associated Press contributed to this data, including: Katie Park, Tom Meagher, Weihua Li, Gabe Isman, Cary Aspinwall, Keri Blakinger, Jake Bleiberg, Andrew R. Calderón, Maurice Chammah, Andrew DeMillo, Eli Hager, Jamiles Lartey, Claudia Lauer, Nicole Lewis, Humera Lodhi, Colleen Long, Joseph Neff, Michelle Pitcher, Alysia Santo, Beth Schwartzapfel, Damini Sharma, Colleen Slevin, Christie Thompson, Abbie VanSickle, Adria Watson, Andrew Welsh-Huggins.

    Questions

    If you have questions about the data, please email The Marshall Project at info+covidtracker@themarshallproject.org or file a Github issue.

    To learn more about AP's data journalism capabilities for publishers, corporations and financial institutions, go here or email kromano@ap.org.

  5. H

    The Prison Bust Dataset

    • dataverse.harvard.edu
    • search.dataone.org
    pdf, xlsx
    Updated Oct 28, 2023
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    Jacob Harris; Jacob Harris (2023). The Prison Bust Dataset [Dataset]. http://doi.org/10.7910/DVN/KARVHJ
    Explore at:
    xlsx(34308), pdf(175973)Available download formats
    Dataset updated
    Oct 28, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Jacob Harris; Jacob Harris
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Scholars and policy analysts alike have long been concerned with the social and economic consequences of the prison boom. However, as state corrections departments have been forced to make cutbacks and state incarceration rates have declined, we are currently in a prison bust. The Prison Bust Dataset is the first comprehensive record of U.S. prison closures from after the end of the prison boom to the present. It provides novel opportunities for understanding the causes and consequences of the prison boom. The dataset contains details of 188 verified state and federal adult correctional facility closures from 2000-2022.

  6. d

    Data from: Prison Population statistics

    • data.gov.uk
    • integration.data.gov.uk
    • +1more
    doc, html, ods, odt +3
    Updated Apr 6, 2018
    + more versions
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    Ministry of Justice (2018). Prison Population statistics [Dataset]. https://www.data.gov.uk/dataset/2e5da41d-9e08-4f07-9a0d-bf9c18d4395c/prison-population-statistics
    Explore at:
    xls, doc, pdf, rtf, ods, odt, htmlAvailable download formats
    Dataset updated
    Apr 6, 2018
    Dataset authored and provided by
    Ministry of Justice
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Figures for the prison population in England and Wales published weekly. For more detailed figures on the prison population see the National Statistics publication, Offender Management Statistics Quarterly bulletin.

  7. H

    Incarceration Population Data by State

    • dataverse.harvard.edu
    • search.dataone.org
    xlsx
    Updated Feb 7, 2022
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    Harvard Dataverse (2022). Incarceration Population Data by State [Dataset]. http://doi.org/10.7910/DVN/KYMIHA
    Explore at:
    xlsx(13675)Available download formats
    Dataset updated
    Feb 7, 2022
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Data was collected for each of the 50 states from the year 2019. For each state, the following information is given: total population, total White population, total Black population, total Hispanic population, median household income, total prison population, total parole population, total amount of law enforcement employees, the violent crime rate, and the GDP.

  8. T

    Current Iowa Correctional System Prison Population

    • data.iowa.gov
    • mydata.iowa.gov
    • +2more
    application/rdfxml +5
    Updated Jul 11, 2024
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    Iowa Department of Correction (2024). Current Iowa Correctional System Prison Population [Dataset]. https://data.iowa.gov/Correctional-System/Current-Iowa-Correctional-System-Prison-Population/xbcv-c6t2
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    xml, csv, json, application/rdfxml, application/rssxml, tsvAvailable download formats
    Dataset updated
    Jul 11, 2024
    Dataset authored and provided by
    Iowa Department of Correction
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Iowa
    Description

    This dataset contains de-identified individual data for offenders currently serving in an Iowa institution or correctional facility. Dataset includes information regarding age, sex, race, offense committed, and supervision status.

  9. E

    Egypt Imprisonment rate - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 25, 2018
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    Globalen LLC (2018). Egypt Imprisonment rate - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Egypt/prisoners/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Feb 25, 2018
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2006 - Dec 31, 2016
    Area covered
    Egypt
    Description

    Egypt: Number of prisoners per 100,000 people: For that indicator, we provide data for Egypt from 2006 to 2016. The average value for Egypt during that period was 86 prisoners per 100,000 people with a minimum of 71 prisoners per 100,000 people in 2013 and a maximum of 111 prisoners per 100,000 people in 2016. The latest value from 2016 is 111 prisoners per 100,000 people. For comparison, the world average in 2016 based on 89 countries is 197 prisoners per 100,000 people.

  10. d

    Unsentenced detainees as a proportion of overall prison population

    • data.gov.au
    • researchdata.edu.au
    csv
    Updated Jun 12, 2018
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    Sustainable Development Goals (2018). Unsentenced detainees as a proportion of overall prison population [Dataset]. https://data.gov.au/data/dataset/unsentenced-detainees-as-a-proportion-of-overall-prison-population
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 12, 2018
    Dataset provided by
    Sustainable Development Goals
    License

    Attribution 2.5 (CC BY 2.5)https://creativecommons.org/licenses/by/2.5/
    License information was derived automatically

    Description

    Data available in Australian Bureau of Statistics dataset 'Prisoners in Australia' (4517.0).

  11. f

    Association between examined potential predictors and incarceration among...

    • figshare.com
    xls
    Updated May 31, 2023
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    Nina T. Harawa; Katrina M. Schrode; Joseph Daniels; Marjan Javanbakht; Anna Hotton; Solomon Makgoeng; Amy Ragsdale; John Schneider; Kayo Fujimoto; Robert Bolan; Pamina Gorbach (2023). Association between examined potential predictors and incarceration among Black/ African American and Hispanic/Latino mSTUDY participants. [Dataset]. http://doi.org/10.1371/journal.pone.0265034.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nina T. Harawa; Katrina M. Schrode; Joseph Daniels; Marjan Javanbakht; Anna Hotton; Solomon Makgoeng; Amy Ragsdale; John Schneider; Kayo Fujimoto; Robert Bolan; Pamina Gorbach
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Association between examined potential predictors and incarceration among Black/ African American and Hispanic/Latino mSTUDY participants.

  12. f

    Potential predictorsb'*' of incident incarceration during follow-up among...

    • figshare.com
    xls
    Updated Jun 15, 2023
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    Nina T. Harawa; Katrina M. Schrode; Joseph Daniels; Marjan Javanbakht; Anna Hotton; Solomon Makgoeng; Amy Ragsdale; John Schneider; Kayo Fujimoto; Robert Bolan; Pamina Gorbach (2023). Potential predictorsb'*' of incident incarceration during follow-up among Black/African American and Hispanic/Latino mSTUDY participants (n = 328). [Dataset]. http://doi.org/10.1371/journal.pone.0265034.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nina T. Harawa; Katrina M. Schrode; Joseph Daniels; Marjan Javanbakht; Anna Hotton; Solomon Makgoeng; Amy Ragsdale; John Schneider; Kayo Fujimoto; Robert Bolan; Pamina Gorbach
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Potential predictorsb'*' of incident incarceration during follow-up among Black/African American and Hispanic/Latino mSTUDY participants (n = 328).

  13. f

    State_Prison_Population_and_Rates_1951-2003 – Research Data for New York’s...

    • sage.figshare.com
    • commons.datacite.org
    xlsx
    Updated Jun 1, 2023
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    Colleen D. Mair (2023). State_Prison_Population_and_Rates_1951-2003 – Research Data for New York’s War on Drugs and the Impact on Female Incarceration Rates [Dataset]. http://doi.org/10.25384/SAGE.12893488.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SAGE Journals
    Authors
    Colleen D. Mair
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New York
    Description

    Research Data, State_Prison_Population_and_Rates_1951-2003 for New York’s War on Drugs and the Impact on Female Incarceration Rates by Colleen D. Mair in Feminist Criminology

  14. G

    Germany Imprisonment rate - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Nov 18, 2016
    + more versions
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    Globalen LLC (2016). Germany Imprisonment rate - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Germany/prisoners/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Nov 18, 2016
    Dataset authored and provided by
    Globalen LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2003 - Dec 31, 2017
    Area covered
    Germany
    Description

    Germany: Number of prisoners per 100,000 people: For that indicator, we provide data for Germany from 2003 to 2017. The average value for Germany during that period was 88 prisoners per 100,000 people with a minimum of 77 prisoners per 100,000 people in 2017 and a maximum of 99 prisoners per 100,000 people in 2003. The latest value from 2017 is 77 prisoners per 100,000 people. For comparison, the world average in 2017 based on 146 countries is 182 prisoners per 100,000 people.

  15. w

    Prison population projections, England and Wales

    • data.wu.ac.at
    • cloud.csiss.gmu.edu
    • +2more
    pdf, xls, xlsx
    Updated Sep 5, 2016
    + more versions
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    Ministry of Justice (2016). Prison population projections, England and Wales [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/ZTEwYzY4NTktOGEzZC00NDEwLWFkYmEtODA2YmI1NGRjMWE3
    Explore at:
    pdf, xls, xlsxAvailable download formats
    Dataset updated
    Sep 5, 2016
    Dataset provided by
    Ministry of Justice
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The release (generally annual) gives the projected monthly prison population in England and Wales for the next six years. Sub-population (such as gender) estimates are presented alongside the effects of legislation, sentencing activity, and so on relevant to the prison population.

    Source agency: Justice

    Designation: National Statistics

    Language: English

    Alternative title: Prison population projections

  16. Changes in the prevalence rates of substance and medicine consumption before...

    • plos.figshare.com
    xls
    Updated May 31, 2023
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    Morgane Rousselet; Marylène Guerlais; Pascal Caillet; Bertrand Le Geay; Damien Mauillon; Patrick Serre; Pierre-Yves Chameau; Yves Bleher; Serge Mounsande; Pascale Jolliet; Caroline Victorri-Vigneau (2023). Changes in the prevalence rates of substance and medicine consumption before and during incarceration. [Dataset]. http://doi.org/10.1371/journal.pone.0225189.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Morgane Rousselet; Marylène Guerlais; Pascal Caillet; Bertrand Le Geay; Damien Mauillon; Patrick Serre; Pierre-Yves Chameau; Yves Bleher; Serge Mounsande; Pascale Jolliet; Caroline Victorri-Vigneau
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Changes in the prevalence rates of substance and medicine consumption before and during incarceration.

  17. Drug-related deaths and suicide in prison custody

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Jan 26, 2023
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    Office for National Statistics (2023). Drug-related deaths and suicide in prison custody [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/drugrelateddeathsandsuicideinprisoncustody
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jan 26, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Analysis of the risk of suicide and drug-related deaths among prisoners, including the number of deaths, standarised mortality ratios and age-standardised rates, England and Wales, 2008 to 2019.

  18. us-states-sociological-metrics

    • data.world
    csv, zip
    Updated Apr 12, 2022
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    Kevin Nayar (2022). us-states-sociological-metrics [Dataset]. https://data.world/kevinnayar/us-states-sociological-metrics
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Apr 12, 2022
    Dataset provided by
    data.world, Inc.
    Authors
    Kevin Nayar
    Area covered
    United States
    Description

    Overview

    This dataset is comprised of 4 sociological metrics for 50 US states that have been normalized on a 100-point scale. It showcases the correlations between education, peace, poverty, and religion.

    See the Interactive Visualization

    • Educational Attainment: The data is based on the responses to the American Community Survey. The percentage represents the number of individuals that have earned a bachelor's degree or higher. Sourced from Wikipedia (2009).

    • Peace Index: The US state index is based on an analysis of homicide, violent crime, policing, incarceration rates, and the availability of small arms. The data is inverted and refactored for percentages instead of a numerical score. The higher the percentage, the more peaceful a state is considered. Sourced from Vision of Humanity (2010).

    • Above Poverty Rate: The percentages represent the number of households per state that are living above the poverty rate (by household income). Sourced from Wikipedia (2008) and originally from the United States Census Bureau.

    • Non-Religious: Religion data is based on the percentage of individuals that do not identify as highly religious in each state. Sourced from the Pew Research Center (2014).

  19. Immigration Statistics: detention

    • data.gov.uk
    • cloud.csiss.gmu.edu
    • +2more
    html, ods, pdf, xls
    Updated Dec 12, 2018
    + more versions
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    Home Office (2018). Immigration Statistics: detention [Dataset]. https://www.data.gov.uk/dataset/6de2c1e1-61d5-4694-a390-e5b84342c941/immigration-statistics-detention
    Explore at:
    html, ods, xls, pdfAvailable download formats
    Dataset updated
    Dec 12, 2018
    Dataset authored and provided by
    Home Officehttp://www.gov.uk/home-office
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This release replaces the previous annual and quarterly publications Control of Immigration Statistics and the annual British Citizenship, following a public consultation. Each topic now has its own entry, links to these related reports can be found under the "additional links" section. The figures relate to people detained in UK Border Agency Removal Centres and Short Term Holding Facilities solely under Immigration Act powers. Data are not available on those held in police cells and prisons under immigration offences.

  20. Statistics Canada | Statistique Canada

    • data.wu.ac.at
    csv, html
    Updated Feb 13, 2018
    + more versions
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    Statistics Canada | Statistique Canada (2018). Statistics Canada | Statistique Canada [Dataset]. https://data.wu.ac.at/odso/www_data_gc_ca/MjIxODM1OWQtNDA4My00OWM2LTgyNWEtZTJmMzUwZDUwNjkz
    Explore at:
    csv, htmlAvailable download formats
    Dataset updated
    Feb 13, 2018
    Dataset provided by
    Statistics Canadahttp://www.statcan.gc.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    Summary Table. Find data on average counts of young persons by province and territory. Average counts include actual-in counts, incarceration rates, probation rates and probation community supervision counts. Newfoundland and Labrador, Prince Edward Island, Nova Scotia, New Brunswick. STC

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Globalen LLC (2018). Mexico Imprisonment rate - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/Mexico/prisoners/

Mexico Imprisonment rate - data, chart | TheGlobalEconomy.com

Explore at:
excel, csv, xmlAvailable download formats
Dataset updated
Feb 23, 2018
Dataset authored and provided by
Globalen LLC
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Dec 31, 2003 - Dec 31, 2017
Area covered
Mexico
Description

Mexico: Number of prisoners per 100,000 people: For that indicator, we provide data for Mexico from 2003 to 2017. The average value for Mexico during that period was 184 prisoners per 100,000 people with a minimum of 141 prisoners per 100,000 people in 2017 and a maximum of 208 prisoners per 100,000 people in 2013. The latest value from 2017 is 141 prisoners per 100,000 people. For comparison, the world average in 2017 based on 146 countries is 182 prisoners per 100,000 people.

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