100+ datasets found
  1. World Crime Index 2023

    • kaggle.com
    Updated Jun 17, 2023
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    Arsalan ur Rehman (2023). World Crime Index 2023 [Dataset]. https://www.kaggle.com/datasets/arsalanrehman/world-crime-index-2023
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 17, 2023
    Dataset provided by
    Kaggle
    Authors
    Arsalan ur Rehman
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    World
    Description

    The World Crime Index 2023 dataset provides records of crime rankings for cities worldwide, along with associated information on their respective countries. This dataset is focused on the year 2023 and includes the following columns:

    • Rank: The ranking of a city based on its crime index, with lower numbers indicating higher crime rates.
    • City: The name of the city for which crime data is reported.
    • Country: The country to which the city belongs.
    • Crime Index: A numerical value representing the overall level of crime in a city, with higher values indicating higher crime rates.
    • Safety Index: An index indicating the general level of safety in a city, derived from factors such as infrastructure, healthcare, and political stability.

    This dataset enables data scientists to analyze and compare crime rankings across cities and countries, providing insights into the relative safety levels of different locations in the year 2023. By leveraging this dataset, researchers can conduct exploratory data analysis, perform comparative studies, and identify potential trends and patterns in crime rates globally for the specified year.

  2. Homicide rates in Brazil

    • kaggle.com
    Updated Mar 31, 2025
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    willian oliveira (2025). Homicide rates in Brazil [Dataset]. http://doi.org/10.34740/kaggle/dsv/11229916
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 31, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    willian oliveira
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    Brazil
    Description

    Measuring homicides across the world helps us understand violent crime and how people are affected by interpersonal violence.

    But measuring homicides is challenging. Even homicide researchers do not always agree on whether the specific cause of death should be considered a homicide. Even when they agree on what counts as a homicide, it is difficult to count all of them.

    In many countries, national civil registries do not certify most deaths or their cause. Besides lacking funds and personnel, a body has to be found to determine whether a death has happened. Authorities may also struggle to distinguish a homicide from a similar cause of death, such as an accident.

    Law enforcement and criminal justice agencies collect more data on whether a death was unlawful — but their definition of unlawfulness may differ across countries and time.

    Estimating homicides where neither of these sources is available or good enough is difficult. Estimates rely on inferences from similar countries and contextual factors that are based on strong assumptions. So how do researchers address these challenges and measure homicides?

    In our work on homicides, we provide data from five main sources:

    The WHO Mortality Database (WHO-MD)1 The Global Study on Homicide by the UN Office on Drugs and Crime (UNODC)2 The History of Homicide Database by Manuel Eisner (20033 and 20144) The Global Burden of Disease (GBD) study by the Institute for Health Metrics and Evaluation (IHME)5 The WHO Global Health Estimates (WHO-GHE)6 These sources all report homicides, cover many countries and years, and are frequently used by researchers and policymakers. They are not entirely separate, as they partially build upon each other.

  3. M

    World Crime Rate & Statistics

    • macrotrends.net
    csv
    Updated May 31, 2025
    + more versions
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    MACROTRENDS (2025). World Crime Rate & Statistics [Dataset]. https://www.macrotrends.net/global-metrics/countries/wld/world/crime-rate-statistics
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    world
    Description
    World crime rate per 100K population for 2020 was 5.61, a 0.74% increase from 2019.
    <ul style='margin-top:20px;'>
    
    <li>World crime rate per 100K population for 2019 was <strong>5.56</strong>, a <strong>3.65% decline</strong> from 2018.</li>
    <li>World crime rate per 100K population for 2018 was <strong>5.77</strong>, a <strong>2.24% decline</strong> from 2017.</li>
    <li>World crime rate per 100K population for 2017 was <strong>5.91</strong>, a <strong>0.69% decline</strong> from 2016.</li>
    </ul>Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
    
  4. United Nations Surveys of Crime Trends and Operations of Criminal Justice...

    • catalog.data.gov
    • data.amerigeoss.org
    Updated Mar 12, 2025
    + more versions
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    Bureau of Justice Statistics (2025). United Nations Surveys of Crime Trends and Operations of Criminal Justice Systems Series [Dataset]. https://catalog.data.gov/dataset/united-nations-surveys-of-crime-trends-and-operations-of-criminal-justice-systems-series-81b80
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    Bureau of Justice Statisticshttp://bjs.ojp.gov/
    Area covered
    United Nations
    Description

    Investigator(s): United Nations Office at Vienna, R.W. Burnham, Helen Burnham, Bruce DiCristina, and Graeme Newman The United Nations Surveys of Crime Trends and Operations of Criminal Justice Systems (formerly known as the United Nations World Crime Surveys) series was begun in 1978 and is comprised of five quinquennial surveys covering the years 1970-1975, 1975-1980, 1980-1986, 1986-1990, and 1990-1994. The project was supported by the United States Bureau of Justice Statistics, and conducted under the auspices of the United Nations Criminal Justice and Crime Prevention Branch, United Nations Office in Vienna. Data gathered on crime prevention and criminal justice among member nations provide information for policy development and program planning. The main objectives of the survey include: to conduct a more focused inquiry into the incidence of crime worldwide, to improve knowledge about the incidence of reported crime in the global development perspective and also international understanding of effective ways to counteract crime, to improve the dissemination globally of the information collected, to facilitate an overview of trends and interrelationships among various parts of the criminal justice system so as to promote informed decision-making in its administration, nationally and cross-nationally, and to serve as an instrument for strengthening cooperation among member states by putting the review and analysis of national crime-related data in a broader context. The surveys also provide a valuable source of charting trends in crime and criminal justice over two decades.

  5. Number, percentage and rate of homicide victims, by racialized identity...

    • www150.statcan.gc.ca
    • data.urbandatacentre.ca
    • +2more
    Updated Jul 25, 2024
    + more versions
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    Government of Canada, Statistics Canada (2024). Number, percentage and rate of homicide victims, by racialized identity group, gender and region [Dataset]. http://doi.org/10.25318/3510020601-eng
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2023.

  6. 😃🥳😁 Happiness index

    • kaggle.com
    Updated Sep 14, 2023
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    meer atif magsi (2023). 😃🥳😁 Happiness index [Dataset]. https://www.kaggle.com/datasets/meeratif/happiness-index/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 14, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    meer atif magsi
    Description

    Context:

    The "Global Happiness Index and Homicide Rate Dataset" provides a comprehensive overview of happiness rankings and homicide rates for countries around the world. This dataset is a valuable resource for researchers, analysts, policymakers, and anyone interested in exploring the relationship between happiness and crime rates. It combines two critical dimensions of a country's well-being: its citizens' happiness levels and the prevalence of homicides.

    Content:

    1.**Countries:** This column contains the names of the countries included in the dataset. It serves as the primary identifier for each data entry.

    2.**Global Rank:** This column indicates the global ranking of each country based on its happiness index. The happiness index measures the overall well-being and contentment of a nation's citizens, taking into account factors like income, social support, life expectancy, freedom to make life choices, trust in government, and generosity. A lower rank suggests a higher level of happiness.

    3.**Available Data:** This column provides information about the completeness and reliability of the data for each country. It may indicate whether there are missing values, data quality issues, or other relevant notes regarding the dataset's integrity.

    This dataset can be used for various analytical purposes, such as:

    • Exploratory Data Analysis (EDA): Researchers can explore the relationship between a country's happiness ranking and its homicide rate to identify potential correlations or patterns.

    • Geospatial Analysis: Analysts can create maps and visualizations to display the geographic distribution of happiness rankings and homicide rates.

    • Policy Insights: Policymakers can use this dataset to inform decisions related to public safety, social programs, and well-being initiatives.

    • Machine Learning and Predictive Modeling: Data scientists can build predictive models to understand the factors that contribute to happiness and to forecast potential changes in homicide rates.

  7. M

    India Crime Rate & Statistics

    • macrotrends.net
    csv
    Updated May 31, 2025
    + more versions
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    MACROTRENDS (2025). India Crime Rate & Statistics [Dataset]. https://www.macrotrends.net/global-metrics/countries/ind/india/crime-rate-statistics
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    India
    Description
    India crime rate per 100K population for 2021 was 2.94, a 0.86% increase from 2020.
    <ul style='margin-top:20px;'>
    
    <li>India crime rate per 100K population for 2020 was <strong>2.91</strong>, a <strong>0.53% decline</strong> from 2019.</li>
    <li>India crime rate per 100K population for 2019 was <strong>2.93</strong>, a <strong>2.24% decline</strong> from 2018.</li>
    <li>India crime rate per 100K population for 2018 was <strong>2.99</strong>, a <strong>1.16% decline</strong> from 2017.</li>
    </ul>Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.
    
  8. d

    Mass Killings in America, 2006 - present

    • data.world
    csv, zip
    Updated Jun 28, 2025
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    The Associated Press (2025). Mass Killings in America, 2006 - present [Dataset]. https://data.world/associatedpress/mass-killings-public
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    zip, csvAvailable download formats
    Dataset updated
    Jun 28, 2025
    Authors
    The Associated Press
    Time period covered
    Jan 1, 2006 - Apr 29, 2025
    Area covered
    Description

    THIS DATASET WAS LAST UPDATED AT 2:10 AM EASTERN ON JUNE 28

    OVERVIEW

    2019 had the most mass killings since at least the 1970s, according to the Associated Press/USA TODAY/Northeastern University Mass Killings Database.

    In all, there were 45 mass killings, defined as when four or more people are killed excluding the perpetrator. Of those, 33 were mass shootings . This summer was especially violent, with three high-profile public mass shootings occurring in the span of just four weeks, leaving 38 killed and 66 injured.

    A total of 229 people died in mass killings in 2019.

    The AP's analysis found that more than 50% of the incidents were family annihilations, which is similar to prior years. Although they are far less common, the 9 public mass shootings during the year were the most deadly type of mass murder, resulting in 73 people's deaths, not including the assailants.

    One-third of the offenders died at the scene of the killing or soon after, half from suicides.

    About this Dataset

    The Associated Press/USA TODAY/Northeastern University Mass Killings database tracks all U.S. homicides since 2006 involving four or more people killed (not including the offender) over a short period of time (24 hours) regardless of weapon, location, victim-offender relationship or motive. The database includes information on these and other characteristics concerning the incidents, offenders, and victims.

    The AP/USA TODAY/Northeastern database represents the most complete tracking of mass murders by the above definition currently available. Other efforts, such as the Gun Violence Archive or Everytown for Gun Safety may include events that do not meet our criteria, but a review of these sites and others indicates that this database contains every event that matches the definition, including some not tracked by other organizations.

    This data will be updated periodically and can be used as an ongoing resource to help cover these events.

    Using this Dataset

    To get basic counts of incidents of mass killings and mass shootings by year nationwide, use these queries:

    Mass killings by year

    Mass shootings by year

    To get these counts just for your state:

    Filter killings by state

    Definition of "mass murder"

    Mass murder is defined as the intentional killing of four or more victims by any means within a 24-hour period, excluding the deaths of unborn children and the offender(s). The standard of four or more dead was initially set by the FBI.

    This definition does not exclude cases based on method (e.g., shootings only), type or motivation (e.g., public only), victim-offender relationship (e.g., strangers only), or number of locations (e.g., one). The time frame of 24 hours was chosen to eliminate conflation with spree killers, who kill multiple victims in quick succession in different locations or incidents, and to satisfy the traditional requirement of occurring in a “single incident.”

    Offenders who commit mass murder during a spree (before or after committing additional homicides) are included in the database, and all victims within seven days of the mass murder are included in the victim count. Negligent homicides related to driving under the influence or accidental fires are excluded due to the lack of offender intent. Only incidents occurring within the 50 states and Washington D.C. are considered.

    Methodology

    Project researchers first identified potential incidents using the Federal Bureau of Investigation’s Supplementary Homicide Reports (SHR). Homicide incidents in the SHR were flagged as potential mass murder cases if four or more victims were reported on the same record, and the type of death was murder or non-negligent manslaughter.

    Cases were subsequently verified utilizing media accounts, court documents, academic journal articles, books, and local law enforcement records obtained through Freedom of Information Act (FOIA) requests. Each data point was corroborated by multiple sources, which were compiled into a single document to assess the quality of information.

    In case(s) of contradiction among sources, official law enforcement or court records were used, when available, followed by the most recent media or academic source.

    Case information was subsequently compared with every other known mass murder database to ensure reliability and validity. Incidents listed in the SHR that could not be independently verified were excluded from the database.

    Project researchers also conducted extensive searches for incidents not reported in the SHR during the time period, utilizing internet search engines, Lexis-Nexis, and Newspapers.com. Search terms include: [number] dead, [number] killed, [number] slain, [number] murdered, [number] homicide, mass murder, mass shooting, massacre, rampage, family killing, familicide, and arson murder. Offender, victim, and location names were also directly searched when available.

    This project started at USA TODAY in 2012.

    Contacts

    Contact AP Data Editor Justin Myers with questions, suggestions or comments about this dataset at jmyers@ap.org. The Northeastern University researcher working with AP and USA TODAY is Professor James Alan Fox, who can be reached at j.fox@northeastern.edu or 617-416-4400.

  9. M

    Japan Murder/Homicide Rate

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Japan Murder/Homicide Rate [Dataset]. https://www.macrotrends.net/global-metrics/countries/jpn/japan/murder-homicide-rate
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1990 - Dec 31, 2021
    Area covered
    Japan
    Description

    Historical chart and dataset showing Japan murder/homicide rate per 100K population by year from 1990 to 2021.

  10. UNODC Global Homicide Statistics

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    xlsx
    Updated Jun 18, 2019
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    UN Humanitarian Data Exchange (2019). UNODC Global Homicide Statistics [Dataset]. https://cloud.csiss.gmu.edu/uddi/km/dataset/groups/unodc-global-homicide-statistics
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    xlsx(210562)Available download formats
    Dataset updated
    Jun 18, 2019
    Dataset provided by
    United Nationshttp://un.org/
    Description

    This dataset contains official statistics on homicide at national and regional levels. Some series included in the dataset contain sex disaggregated data.

  11. Greenland GL: Intentional Homicides: per 100,000 People

    • ceicdata.com
    Updated May 4, 2018
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    CEICdata.com, Greenland GL: Intentional Homicides: per 100,000 People [Dataset]. https://www.ceicdata.com/en/greenland/health-statistics/gl-intentional-homicides-per-100000-people
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    Dataset updated
    May 4, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2015
    Area covered
    Greenland
    Description

    Greenland GL: Intentional Homicides: per 100,000 People data was reported at 5.314 Ratio in 2016. This records a decrease from the previous number of 7.095 Ratio for 2015. Greenland GL: Intentional Homicides: per 100,000 People data is updated yearly, averaging 14.074 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 30.181 Ratio in 2001 and a record low of 1.768 Ratio in 2011. Greenland GL: Intentional Homicides: per 100,000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greenland – Table GL.World Bank.WDI: Health Statistics. Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; Weighted average;

  12. Reported violent crime rate in the U.S. 1990-2023

    • statista.com
    • ai-chatbox.pro
    Updated Nov 14, 2024
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    Statista (2024). Reported violent crime rate in the U.S. 1990-2023 [Dataset]. https://www.statista.com/statistics/191219/reported-violent-crime-rate-in-the-usa-since-1990/
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    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the violent crime rate in the United States was 363.8 cases per 100,000 of the population. Even though the violent crime rate has been decreasing since 1990, the United States tops the ranking of countries with the most prisoners. In addition, due to the FBI's transition to a new crime reporting system in which law enforcement agencies voluntarily submit crime reports, data may not accurately reflect the total number of crimes committed in recent years. Reported violent crime rate in the United States The United States Federal Bureau of Investigation tracks the rate of reported violent crimes per 100,000 U.S. inhabitants. In the timeline above, rates are shown starting in 1990. The rate of reported violent crime has fallen since a high of 758.20 reported crimes in 1991 to a low of 363.6 reported violent crimes in 2014. In 2023, there were around 1.22 million violent crimes reported to the FBI in the United States. This number can be compared to the total number of property crimes, roughly 6.41 million that year. Of violent crimes in 2023, aggravated assaults were the most common offenses in the United States, while homicide offenses were the least common. Law enforcement officers and crime clearance Though the violent crime rate was down in 2013, the number of law enforcement officers also fell. Between 2005 and 2009, the number of law enforcement officers in the United States rose from around 673,100 to 708,800. However, since 2009, the number of officers fell to a low of 626,900 officers in 2013. The number of law enforcement officers has since grown, reaching 720,652 in 2023. In 2023, the crime clearance rate in the U.S. was highest for murder and non-negligent manslaughter charges, with around 57.8 percent of murders being solved by investigators and a suspect being charged with the crime. Additionally, roughly 46.1 percent of aggravated assaults were cleared in that year. A statistics report on violent crime in the U.S. can be found here.

  13. Indicator 16.1.1: Number of victims of intentional homicide per 100 000...

    • sdgs.amerigeoss.org
    • sdgs-amerigeoss.opendata.arcgis.com
    • +1more
    Updated Aug 18, 2020
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    UN DESA Statistics Division (2020). Indicator 16.1.1: Number of victims of intentional homicide per 100 000 population by sex (victims per 100 000 population) [Dataset]. https://sdgs.amerigeoss.org/datasets/undesa::indicator-16-1-1-number-of-victims-of-intentional-homicide-per-100-000-population-by-sex-victims-per-100-000-population-1/api
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    Dataset updated
    Aug 18, 2020
    Dataset provided by
    United Nations Department of Economic and Social Affairshttps://www.un.org/en/desa
    Authors
    UN DESA Statistics Division
    Area covered
    Description

    Series Name: Number of victims of intentional homicide per 100 000 population by sex (victims per 100 000 population)Series Code: VC_IHR_PSRCRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 16.1.1: Number of victims of intentional homicide per 100,000 population, by sex and ageTarget 16.1: Significantly reduce all forms of violence and related death rates everywhereGoal 16: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levelsFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  14. India IN: Intentional Homicides: Male: per 100,000 Male

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). India IN: Intentional Homicides: Male: per 100,000 Male [Dataset]. https://www.ceicdata.com/en/india/health-statistics/in-intentional-homicides-male-per-100000-male
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    India
    Description

    India IN: Intentional Homicides: Male: per 100,000 Male data was reported at 3.736 Ratio in 2016. This records a decrease from the previous number of 4.021 Ratio for 2015. India IN: Intentional Homicides: Male: per 100,000 Male data is updated yearly, averaging 4.670 Ratio from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 6.443 Ratio in 2000 and a record low of 3.736 Ratio in 2016. India IN: Intentional Homicides: Male: per 100,000 Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank: Health Statistics. Intentional homicides, male are estimates of unlawful male homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;

  15. A

    Indicator 16.1.1: Number of victims of intentional homicide per 100,000...

    • data.amerigeoss.org
    csv, esri rest +4
    Updated Jul 11, 2019
    + more versions
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    AmeriGEO ArcGIS (2019). Indicator 16.1.1: Number of victims of intentional homicide per 100,000 population, by sex (victims per 100,000 population) [Dataset]. https://data.amerigeoss.org/dataset/groups/indicator-16-1-1-number-of-victims-of-intentional-homicide-per-100000-population-by-sex-victims
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    html, geojson, csv, zip, kml, esri restAvailable download formats
    Dataset updated
    Jul 11, 2019
    Dataset provided by
    AmeriGEO ArcGIS
    Description
    • Series Name: Number of victims of intentional homicide per 100 000 population by sex (victims per 100 000 population)
    • Series Code: VC_IHR_PSRC
    • Release Version: 2019.Q2.G.01

    This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.

    Indicator 16.1.1: Number of victims of intentional homicide per 100,000 population, by sex and age

    Target 16.1: Significantly reduce all forms of violence and related death rates everywhere

    Goal 16: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels

    For more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

  16. D

    Data from: A global analysis of the impact of COVID-19 stay at home...

    • ssh.datastations.nl
    • datacatalogue.cessda.eu
    • +1more
    Updated May 4, 2021
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    DANS Data Station Social Sciences and Humanities (2021). A global analysis of the impact of COVID-19 stay at home restrictions on crime [Dataset]. http://doi.org/10.17026/dans-xuf-a75p
    Explore at:
    application/x-spss-syntax(1053), application/x-stata-syntax(1390), text/x-fixed-field(2457), application/x-stata-14(5933), application/x-spss-sav(2517), zip(74599)Available download formats
    Dataset updated
    May 4, 2021
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    License

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

    Description

    Abstract: The stay at home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 26 cities across 22 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay at home restrictions on different types of crime in each city. Our findings show that the stay at home policies were associated with a considerable drop in urban crime, but with substantial variation across cities and types of crime. Meta-regression results showed that more stringent restrictions over movement in public space were predictive of larger declines in crime.

  17. A

    ‘Crime in Context, 1975-2015’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 28, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Crime in Context, 1975-2015’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-crime-in-context-1975-2015-cfdb/c6a79a7b/?iid=002-432&v=presentation
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    Dataset updated
    Jan 28, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘Crime in Context, 1975-2015’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/marshallproject/crime-rates on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    Is crime in America rising or falling? The answer is not as simple as politicians make it out to be because of how the FBI collects crime data from the country’s more than 18,000 police agencies. National estimates can be inconsistent and out of date, as the FBI takes months or years to piece together reports from those agencies that choose to participate in the voluntary program.

    To try to fill this gap, The Marshall Project collected and analyzed more than 40 years of data on the four major crimes the FBI classifies as violent — homicide, rape, robbery and assault — in 68 police jurisdictions with populations of 250,000 or greater. We obtained 2015 reports, which have yet to be released by the FBI, directly from 61 of them. We calculated the rate of crime in each category and for all violent crime, per 100,000 residents in the jurisdiction, based on the FBI’s estimated population for that year. We used the 2014 estimated population to calculate 2015 crime rates per capita.

    Acknowledgements

    The crime data was acquired from the FBI Uniform Crime Reporting program's "Offenses Known and Clearances by Arrest" database for the year in question, held at the National Archives of Criminal Justice Data. The data was compiled and analyzed by Gabriel Dance, Tom Meagher, and Emily Hopkins of The Marshall Project; the analysis was published as Crime in Context on 18 August 2016.

    --- Original source retains full ownership of the source dataset ---

  18. M

    Guyana Crime Rate & Statistics

    • macrotrends.net
    csv
    Updated May 31, 2025
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    MACROTRENDS (2025). Guyana Crime Rate & Statistics [Dataset]. https://www.macrotrends.net/global-metrics/countries/guy/guyana/crime-rate-statistics
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    csvAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1990 - Dec 31, 2021
    Area covered
    Guyana
    Description

    Historical chart and dataset showing Guyana crime rate per 100K population by year from 1990 to 2021.

  19. Trinidad and Tobago TT: Intentional Homicides: Female: per 100,000 Female

    • ceicdata.com
    Updated Dec 15, 2017
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    CEICdata.com (2017). Trinidad and Tobago TT: Intentional Homicides: Female: per 100,000 Female [Dataset]. https://www.ceicdata.com/en/trinidad-and-tobago/health-statistics/tt-intentional-homicides-female-per-100000-female
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    Dataset updated
    Dec 15, 2017
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2004 - Dec 1, 2015
    Area covered
    Trinidad and Tobago
    Description

    Trinidad and Tobago TT: Intentional Homicides: Female: per 100,000 Female data was reported at 4.209 Ratio in 2015. This records a decrease from the previous number of 6.563 Ratio for 2014. Trinidad and Tobago TT: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 5.914 Ratio from Dec 2004 (Median) to 2015, with 12 observations. The data reached an all-time high of 8.585 Ratio in 2008 and a record low of 3.997 Ratio in 2004. Trinidad and Tobago TT: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Trinidad and Tobago – Table TT.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;

  20. d

    Travel Danger

    • data.world
    csv, zip
    Updated Apr 19, 2025
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    State Department Travel Warnings (2025). Travel Danger [Dataset]. https://data.world/travelwarnings/travel-danger
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Apr 19, 2025
    Authors
    State Department Travel Warnings
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2008 - 2016
    Description

    This dataset contains data and analysis from the article Do State Department Travel Warnings Reflect Real Danger?

    Key findings

    • On the whole, there is a significant relationship between the number of American deaths abroad per capita and the number of travel warnings a country receives
    • Mexico, Mali, and Israel have been targeted by the most travel warnings in recent years, but Americans are more likely to be killed in Thailand, Pakistan, and the Philippines
    • Several countries with relatively high rates of American death have not been issued a single travel warning in ~7 years, including Belize, Guyana, and Guatemala
    • Several countries with relatively low rates of American death have been issued a relatively high number of travel warnings in ~7 years, including Israel, Turkey, and Saudi Arabia
    • Overall, countries subject to travel warnings do not see notable declines in American visitors in the 6 months after a warning is issued

    Data sources

    Charts / data visualizations

    https://cdn-images-1.medium.com/max/800/1*moPQYbzXW0Jx6AFhY8VKWQ.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*s1OX6ke8wlHhK4VubpVWcg.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*JwvpqE4YIuYfx2UEqCp9nA.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*LHLsJ0IzLsSlNl0UN8XrAw.png" alt="alt text">

    https://cdn-images-1.medium.com/max/800/1*l0sqn7voWyMCbwoQ2OKGfg.png" alt="alt text">

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Arsalan ur Rehman (2023). World Crime Index 2023 [Dataset]. https://www.kaggle.com/datasets/arsalanrehman/world-crime-index-2023
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World Crime Index 2023

Exploring City Crime Rankings and Safety Levels Worldwide in 2023

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jun 17, 2023
Dataset provided by
Kaggle
Authors
Arsalan ur Rehman
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Area covered
World
Description

The World Crime Index 2023 dataset provides records of crime rankings for cities worldwide, along with associated information on their respective countries. This dataset is focused on the year 2023 and includes the following columns:

  • Rank: The ranking of a city based on its crime index, with lower numbers indicating higher crime rates.
  • City: The name of the city for which crime data is reported.
  • Country: The country to which the city belongs.
  • Crime Index: A numerical value representing the overall level of crime in a city, with higher values indicating higher crime rates.
  • Safety Index: An index indicating the general level of safety in a city, derived from factors such as infrastructure, healthcare, and political stability.

This dataset enables data scientists to analyze and compare crime rankings across cities and countries, providing insights into the relative safety levels of different locations in the year 2023. By leveraging this dataset, researchers can conduct exploratory data analysis, perform comparative studies, and identify potential trends and patterns in crime rates globally for the specified year.

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