15 datasets found
  1. Data from: Survey of Gun Owners in the United States, 1996

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Mar 12, 2025
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    National Institute of Justice (2025). Survey of Gun Owners in the United States, 1996 [Dataset]. https://catalog.data.gov/dataset/survey-of-gun-owners-in-the-united-states-1996-6028b
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Area covered
    United States
    Description

    This study was undertaken to obtain information on the characteristics of gun ownership, gun-carrying practices, and weapons-related incidents in the United States -- specifically, gun use and other weapons used in self-defense against humans and animals. Data were gathered using a national random-digit-dial telephone survey. The respondents were comprised of 1,905 randomly-selected adults aged 18 and older living in the 50 United States. All interviews were completed between May 28 and July 2, 1996. The sample was designed to be a representative sample of households, not of individuals, so researchers did not interview more than one adult from each household. To start the interview, six qualifying questions were asked, dealing with (1) gun ownership, (2) gun-carrying practices, (3) gun display against the respondent, (4) gun use in self-defense against animals, (5) gun use in self-defense against people, and (6) other weapons used in self-defense. A "yes" response to a qualifying question led to a series of additional questions on the same topic as the qualifying question. Part 1, Survey Data, contains the coded data obtained during the interviews, and Part 2, Open-Ended-Verbatim Responses, consists of the answers to open-ended questions provided by the respondents. Information collected for Part 1 covers how many firearms were owned by household members, types of firearms owned (handguns, revolvers, pistols, fully automatic weapons, and assault weapons), whether the respondent personally owned a gun, reasons for owning a gun, type of gun carried, whether the gun was ever kept loaded, kept concealed, used for personal protection, or used for work, and whether the respondent had a permit to carry the gun. Additional questions focused on incidents in which a gun was displayed in a hostile manner against the respondent, including the number of times such an incident took place, the location of the event in which the gun was displayed against the respondent, whether the police were contacted, whether the individual displaying the gun was known to the respondent, whether the incident was a burglary, robbery, or other planned assault, and the number of shots fired during the incident. Variables concerning gun use by the respondent in self-defense against an animal include the number of times the respondent used a gun in this manner and whether the respondent was hunting at the time of the incident. Other variables in Part 1 deal with gun use in self-defense against people, such as the location of the event, if the other individual knew the respondent had a gun, the type of gun used, any injuries to the respondent or to the individual that required medical attention or hospitalization, whether the incident was reported to the police, whether there were any arrests, whether other weapons were used in self-defense, the type of other weapon used, location of the incident in which the other weapon was used, and whether the respondent was working as a police officer or security guard or was in the military at the time of the event. Demographic variables in Part 1 include the gender, race, age, household income, and type of community (city, suburb, or rural) in which the respondent lived. Open-ended questions asked during the interview comprise the variables in Part 2. Responses include descriptions of where the respondent was when he or she displayed a gun (in self-defense or otherwise), specific reasons why the respondent displayed a gun, how the other individual reacted when the respondent displayed the gun, how the individual knew the respondent had a gun, whether the police were contacted for specific self-defense events, and if not, why not.

  2. Number of registered weapons U.S. 2024, by state

    • statista.com
    Updated Jul 14, 2025
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    Statista (2025). Number of registered weapons U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/215655/number-of-registered-weapons-in-the-us-by-state/
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    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024
    Area covered
    United States
    Description

    Texas was the state with the highest number of registered weapons in the United States in 2024, with 1,136,732 firearms. Rhode Island, on the other hand, had the least, with 4,895 registered firearms. Gun laws in the United States Gun ownership in the U.S. is protected by the 2nd Amendment of the Constitution, which allows citizens to own firearms and form a militia if necessary. Outside of the 2nd Amendment, gun laws in the U.S. vary from state to state, and gun owners are subject to the laws of the state they are currently in, not necessarily the state they live in. For example, if concealed carry is allowed in a gun owner’s state of residence but not in the state they are traveling in, the owner is subject to the law of the state they are traveling in. Civilian-owned firearms The United States is estimated to have the highest rate of civilian-owned firearms in the world, more than double that of Yemen, which has the second-highest gun ownership rate. Unfortunately, along with high gun ownership rates comes a higher number of homicides by firearm, which was about 13,529 homicides in 2023.

  3. Gun ownership in the U.S. 1972-2024

    • statista.com
    Updated Jul 14, 2025
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    Statista (2025). Gun ownership in the U.S. 1972-2024 [Dataset]. https://www.statista.com/statistics/249740/percentage-of-households-in-the-united-states-owning-a-firearm/
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    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The share of American households owning at least one firearm has remained relatively steady since 1972, hovering between ** percent and ** percent. In 2024, about ** percent of U.S. households had at least one gun in their possession. Additional information on firearms in the United States Firearms command a higher degree of cultural significance in the United States than any other country in the world. Since the inclusion of the right to bear arms in the Second Amendment to the Constitution of the United States, firearms have held symbolic power beyond their already obvious material power. Despite many Americans being proud gun-owners, a large movement exists within the country in opposition to the freedom afforded to those in possession of these potentially deadly weapons. Those opposed to current gun regulation have sourced their anger from the large number of deaths due to firearms in the country, as well as the high frequency of gun violence apparent in comparison to other developed countries. Furthermore, the United States has fallen victim to a number of mass shootings in the last two decades, most of which have raised questions over the ease at which a person can obtain a firearm. Although this movement holds a significant position in the public political discourse of the United States, meaningful change regarding the legislation dictating the ownership of firearms has not occurred. Critics have pointed to the influence possessed by the National Rifle Association through their lobbying of public officials. The National Rifle Association also lobbies for the interests of firearm manufacturing in the United States, which has continued to rise since a fall in the early 2000s.

  4. U.S. gun laws 2025, by state

    • statista.com
    Updated Jul 17, 2025
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    Statista (2025). U.S. gun laws 2025, by state [Dataset]. https://www.statista.com/statistics/1381099/us-gun-laws-by-state/
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    Dataset updated
    Jul 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2025
    Area covered
    United States
    Description

    In the United States, gun laws vary from one state to the next; whether residents need a permit or a background check to purchase a firearm, whether residents must undergo firearm training before making this purchase, and whether residents can openly carry their guns in public is dependent upon state legislation. As of January 15, 2025, ** U.S. states required background checks and/or permits for the purchase of a handgun. A further ** states had regulations on openly carrying firearms in public; however, only California, Connecticut, Florida, and Illinois had completely prohibited open carry for all firearms. In comparison, Maryland, New Jersey, and New York prohibited open carry for handguns but either did not have regulations in place or required a permit for other types of guns. A constitutional right The Second Amendment of the Constitution, which states that citizens have the right to bear arms, has made it difficult for any gun control legislation to be passed on a national level in the United States. As a result, gun control laws in the U.S. are state-based, and often differ based on political perspectives. States with strong gun laws in place, such as Massachusetts, generally experience less gun violence, however, some states with strong gun laws, such as Maryland, continue to face high rates of gun violence, which has largely been attributed to gun trafficking activity found throughout the nation. A culture of gun owners In comparison to other high-income countries with stricter gun control laws, the United States has the highest gun homicide rate at **** gun homicides per 100,000 residents. However, despite increasing evidence that easy access to firearms, whether legal or illegal, encourages higher rates of gun violence, the United States continues to foster an environment in which owning a firearm is seen as personal freedom. Almost **** of U.S. households have reported owning at least one firearm and ** percent of registered voters in the U.S. were found to believe that it was more important to protect the right of Americans to own guns, compared to ** percent who said it was more important to limit gun ownership.

  5. H

    Firearm Suicide Proxy for Household Gun Ownership, 1949-2023

    • dataverse.harvard.edu
    Updated Jun 13, 2025
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    Megan Kang; Kate Daugherty (2025). Firearm Suicide Proxy for Household Gun Ownership, 1949-2023 [Dataset]. http://doi.org/10.7910/DVN/QVYDUD
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 13, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Megan Kang; Kate Daugherty
    License

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

    Description

    State-level firearm suicide proxy (FSS) for household gun ownership 1949-2023. Unlike most gun prevalence measures that are representative at the national or regional level, this proxy represents household gun ownership trends at the state level and is not reliant on self-reported data that are prone to social desirability bias. This extended proxy represents the longest-ranging dataset of state-level gun ownership rates to date. This dataset also includes historic data on firearm homicide and homicide counts and rates per 100,000 residents.

  6. Gun Violence, USA

    • kaggle.com
    Updated Apr 3, 2023
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    Eimantas Kulbe (2023). Gun Violence, USA [Dataset]. https://www.kaggle.com/datasets/eimadevyni/shooting-1982-2023-cleaned/data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 3, 2023
    Dataset provided by
    Kaggle
    Authors
    Eimantas Kulbe
    Area covered
    United States
    Description

    Gun ownership in the United States is the highest in the world, and constitutionally protected by the Second Amendment to the United States Constitution. Firearms are widely used in the United States for self-defence, hunting, and recreational uses, such as target shooting.

    Source: https://www.kaggle.com/datasets/nidzsharma/us-mass-shootings-19822023

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13190980%2F56c639fee11c268267f9cf4ece33cf6a%2Fnewplot%20(6).png?generation=1680562776580204&alt=media" alt="">

    Data columns:

    • 0 case
    • 1 location
    • 2 date
    • 3 summary
    • 4 fatalities
    • 5 injured
    • 6 total_victims
    • 7 location.1
    • 8 age_of_shooter
    • 9 prior_signs_mental_health_issues - Cleaned
    • 10 mental_health_details - Cleaned
    • 11 weapons_obtained_legally
    • 12 where_obtained
    • 13 weapon_type
    • 14 weapon_details
    • 15 race - cleaned
    • 16 gender - cleaned
    • 17 latitude - filled from location with Google Maps API
    • 18 longitude - filled from location with Google Maps API
    • 19 type
    • 20 year - retrieved from date column
    • 21 quarter - retrieved from date column
    • 22 half - retrieved from date column
    • 23 month_name - retrieved from date column
    • 24 day_of_week - retrieved from date column
    • 25 age_group - "Teenage", "Early Adulthood", "Middle Adulthood", "Old Age"
    • 26 decade - retrieved from date
    • 27 name - retrieved from splitting summary
    • 28 current_age - retrieved from splitting summary
    • 29 description - retrieved from splitting summary
  7. d

    Firearm Suicide Proxy for Household Gun Ownership, 1949-2020

    • search.dataone.org
    Updated Nov 8, 2023
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    Kang, Megan (2023). Firearm Suicide Proxy for Household Gun Ownership, 1949-2020 [Dataset]. http://doi.org/10.7910/DVN/QVYDUD
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kang, Megan
    Description

    State-level firearm suicide proxy (FSS) for household gun ownership 1949-2020. Unlike most gun prevalence measures that are representative at the national or regional level, this proxy represents household gun ownership trends at the state level and is not reliant on self-reported data that are prone to social desirability bias. This extended proxy represents the longest-ranging dataset of state-level gun ownership rates to date. This dataset also includes historic data on firearm homicide and homicide counts and rates per 100,000 residents.

  8. Data from: State Firearm Law Database: State Firearm Laws, 1991-2019

    • catalog.data.gov
    • icpsr.umich.edu
    Updated Mar 12, 2025
    + more versions
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    National Institute of Justice (2025). State Firearm Law Database: State Firearm Laws, 1991-2019 [Dataset]. https://catalog.data.gov/dataset/state-firearm-law-database-state-firearm-laws-1991-2019-e2e9d
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    Dataset updated
    Mar 12, 2025
    Dataset provided by
    National Institute of Justicehttp://nij.ojp.gov/
    Description

    The State Firearm Database catalogs the presence or absence of 134 firearm safety laws in 14 categories covering the 26-year period from 1991 to 2019. The classification system categorizes state firearm provisions using a methodology that both captures differences and maintains a level of comparability between states. Because of this, the database is not the most detailed nor the most comprehensive record of all state firearm policies. Other resources may provide users with a deeper understanding of individual provisions, while this database serves as an efficient way to compare the broad scope of state firearm laws across the country. These provisions covered 14 aspects of state policies, including regulation of the process by which firearm transfers take place, ammunition, firearm possession, firearm storage, firearm trafficking, and liability of firearm manufacturers. In addition, descriptions of the criteria used to code each provision have been provided so that there is transparency in how various law exemptions, exceptions, and other nuances were addressed.

  9. n

    Data from: Urban scaling of firearm violence, ownership and accessibility in...

    • ultraviolet.library.nyu.edu
    bin, zip
    Updated Apr 25, 2025
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    Rayan Succar; Rayan Succar; Maurizio Porfiri; Maurizio Porfiri (2025). Urban scaling of firearm violence, ownership and accessibility in the United States [Dataset]. http://doi.org/10.58153/xv1tw-98j62
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    bin, zipAvailable download formats
    Dataset updated
    Apr 25, 2025
    Dataset provided by
    New York University
    Authors
    Rayan Succar; Rayan Succar; Maurizio Porfiri; Maurizio Porfiri
    License

    https://www.gnu.org/licenses/gpl-3.0-standalone.htmlhttps://www.gnu.org/licenses/gpl-3.0-standalone.html

    Area covered
    United States
    Description

    The United States is ranked first in gun possession globally and is among the countries suffering the most from firearm violence. Several aspects of the US firearm ecosystem have been detailed over the years, mostly focusing on nation- or state-level phenomena. Systematic, high-resolution studies that compare US cities are largely lacking, leaving several questions open. For example, how does firearm violence vary with the population size of a US city? Are guns more prevalent and accessible in larger cities? In search of answers to these questions, we apply urban scaling theory, which has been instrumental in understanding the present and future of urbanization for the past 15 years. We collate a dataset about firearm violence, accessibility and ownership in 929 cities, ranging from 10,000 to 20,000,000 people. We discover superlinear scaling of firearm violence (measured through the incidence of firearm homicides and armed robberies) and sublinear scaling of both firearm ownership (inferred from the percentage of suicides that are committed with firearm) and firearm accessibility (measured as the prevalence of federal firearm-selling licenses). To investigate the mechanism underlying the US firearm ecosystem, we establish a novel information-theoretic methodology that infers associations from the variance of urban features about scaling laws. We unveil influence of violence and firearm accessibility on firearm ownership, which we model through a Cobb–Douglas function. Such an influence suggests that self-protection could be a critical driver of firearm ownership in US cities, whose extent is moderated by access to firearms.

  10. g

    Data from: National Firearm Survey, 2004

    • datasearch.gesis.org
    • icpsr.umich.edu
    v1
    Updated Aug 5, 2015
    + more versions
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    Miller, Matthew (2015). National Firearm Survey, 2004 [Dataset]. http://doi.org/10.3886/ICPSR29681.v1
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    v1Available download formats
    Dataset updated
    Aug 5, 2015
    Dataset provided by
    da|ra (Registration agency for social science and economic data)
    Authors
    Miller, Matthew
    Description

    This nationally representative, anonymous, household telephone survey was conducted to explore the distribution of privately owned firearms in the United States, as well as firearm acquisition, disposal, and storage in households with guns. The study updates an earlier (1994) study by Cook and Ludwig that examined household firearm ownership in the United States (Cook P.J., Ludwig J. Guns in America: Results of a comprehensive national survey of firearms ownership and use. Washington DC: Police Foundation 1997.) Other domains of the survey included (1) past year firearm use both by respondents with firearms in their households and those without (e.g., "In the past 12 months, have you handled any gun"); (2) guns and youth (e.g., "In the last 12 months, have you ever asked another parent whether their home contains guns?"); (3) awareness of and opinions regarding state and federal firearm laws (e.g., "To the best of your knowledge, does your state have a law that holds adults liable for misuse of their guns by children or minors"; "Do you favor or oppose the sale of military style firearms?"); (4) depression and suicide (e.g., "If the Golden Gate Bridge had a barrier to prevent suicide, about how many of the 1,000 jumpers (who have committed suicide by jumping off the bridge since 1937) do you think would have found some other way to kill themselves?") and (5) aggressive driving (e.g., "In the past 12 months, have you made obscene or rude gestures at another motorist"). The survey also included extensive demographic information about the respondent and his or her family. The demographic information that was collected includes respondents' sex, age, race, education level, household income, criminal arrest history, armed forces membership status, type of residential area (e.g., urban or rural), and political philosophy.

  11. Number and percentage of homicide victims, by type of firearm used to commit...

    • www150.statcan.gc.ca
    • data.urbandatacentre.ca
    • +4more
    Updated Jul 22, 2019
    + more versions
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    Government of Canada, Statistics Canada (2019). Number and percentage of homicide victims, by type of firearm used to commit the homicide, inactive [Dataset]. http://doi.org/10.25318/3510007201-eng
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    Dataset updated
    Jul 22, 2019
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number and percentage of homicide victims, by type of firearm used to commit the homicide (total firearms; handgun; rifle or shotgun; fully automatic firearm; sawed-off rifle or shotgun; firearm-like weapons; other firearms, type unknown), Canada, 1974 to 2018.

  12. Index, Violent, Property, and Firearm Rates By County: Beginning 1990

    • data.ny.gov
    • datadiscoverystudio.org
    • +3more
    application/rdfxml +5
    Updated Jun 27, 2025
    + more versions
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    New York State Division of Criminal Justice Services (2025). Index, Violent, Property, and Firearm Rates By County: Beginning 1990 [Dataset]. https://data.ny.gov/Public-Safety/Index-Violent-Property-and-Firearm-Rates-By-County/34dd-6g2j
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    json, application/rssxml, csv, xml, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    New York State Division of Criminal Justice Services
    Description

    The Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs’ departments. DCJS compiles these reports as New York’s official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Firearm counts are derived from taking the number of violent crimes which involve a firearm. Population data are provided every year by the FBI, based on US Census information. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred. DCJS posts preliminary data in the spring and final data in the fall.

  13. A

    ‘Police Killings US’ analyzed by Analyst-2

    • analyst-2.ai
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com), ‘Police Killings US’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-police-killings-us-57e7/latest
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    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 ‘Police Killings US’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/azizozmen/police-killings-us on 13 February 2022.

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

    "In 2015, The Washington Post began to log every fatal shooting by an on-duty police officer in the United States. In that time there have been more than 5,000 such shootings recorded by The Post. After Michael Brown, an unarmed Black man, was killed in 2014 by police in Ferguson, Mo., a Post investigation found that the FBI undercounted fatal police shootings by more than half. This is because reporting by police departments is voluntary and many departments fail to do so. The Washington Post’s data relies primarily on news accounts, social media postings, and police reports. Analysis of more than five years of data reveals that the number and circumstances of fatal shootings and the overall demographics of the victims have remained relatively constant..." SOURCE ==> Washington Post Article

    For more information about this story

    This dataset has been prepared by The Washington Post (they keep updating it on runtime) with every fatal shooting in the United States by a police officer in the line of duty since Jan. 1, 2015.

    2016 PoliceKillingUS DATASET
    2017 PoliceKillingUS DATASET
    2018 PoliceKillingUS DATASET
    2019 PoliceKillingUS DATASET
    2020 PoliceKillingUS DATASET

    Features at the Dataset:

    The file fatal-police-shootings-data.csv contains data about each fatal shooting in CSV format. The file can be downloaded at this URL. Each row has the following variables:

    • id: a unique identifier for each victim
    • name: the name of the victim
    • date: the date of the fatal shooting in YYYY-MM-DD format
    • manner_of_death: shot, shot and Tasered
    • armed: indicates that the victim was armed with some sort of implement that a police officer believed could inflict harm
      • undetermined: it is not known whether or not the victim had a weapon
      • unknown: the victim was armed, but it is not known what the object was
      • unarmed: the victim was not armed
    • age: the age of the victim
    • gender: the gender of the victim. The Post identifies victims by the gender they identify with if reports indicate that it differs from their biological sex.
      • M: Male
      • F: Female
      • None: unknown
    • race:
      • W: White, non-Hispanic
      • B: Black, non-Hispanic
      • A: Asian
      • N: Native American
      • H: Hispanic
      • O: Other
      • None: unknown
    • city: the municipality where the fatal shooting took place. Note that in some cases this field may contain a county name if a more specific municipality is unavailable or unknown.
    • state: two-letter postal code abbreviation
    • signs of mental illness: News reports have indicated the victim had a history of mental health issues, expressed suicidal intentions or was experiencing mental distress at the time of the shooting.
    • threat_level: The threat_level column was used to flag incidents for the story by Amy Brittain in October 2015. http://www.washingtonpost.com/sf/investigative/2015/10/24/on-duty-under-fire/ As described in the story, the general criteria for the attack label was that there was the most direct and immediate threat to life. That would include incidents where officers or others were shot at, threatened with a gun, attacked with other weapons or physical force, etc. The attack category is meant to flag the highest level of threat. The other and undetermined categories represent all remaining cases. Other includes many incidents where officers or others faced significant threats.
    • flee: News reports have indicated the victim was moving away from officers
      • Foot
      • Car
      • Not fleeing

    The threat column and the fleeing column are not necessarily related. For example, there is an incident in which the suspect is fleeing and at the same time turns to fire at gun at the officer. Also, attacks represent a status immediately before fatal shots by police while fleeing could begin slightly earlier and involve a chase. - body_camera: News reports have indicated an officer was wearing a body camera and it may have recorded some portion of the incident.

    SOURCE

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

  14. A

    ‘Index, Violent, Property, and Firearm Rates By County: Beginning 1990’...

    • analyst-2.ai
    Updated Mar 11, 2013
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2013). ‘Index, Violent, Property, and Firearm Rates By County: Beginning 1990’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-index-violent-property-and-firearm-rates-by-county-beginning-1990-9672/latest
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    Dataset updated
    Mar 11, 2013
    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 ‘Index, Violent, Property, and Firearm Rates By County: Beginning 1990’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9c9619a6-a7cc-48f7-aefb-cb5c77327b9c on 27 January 2022.

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

    The Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs’ departments. DCJS compiles these reports as New York’s official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Firearm counts are derived from taking the number of violent crimes which involve a firearm. Population data are provided every year by the FBI, based on US Census information. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred. DCJS posts preliminary data in the spring and final data in the fall.

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

  15. H

    Data from: Does Globalization Profit the Small Arms Bazaar?

    • dataverse.harvard.edu
    Updated Feb 16, 2010
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    Indra de Soysa; Thomas Jackson; Christin Ormhaug (2010). Does Globalization Profit the Small Arms Bazaar? [Dataset]. http://doi.org/10.7910/DVN/HQ7QDM
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    Dataset updated
    Feb 16, 2010
    Dataset provided by
    Harvard Dataverse
    Authors
    Indra de Soysa; Thomas Jackson; Christin Ormhaug
    License

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

    Description

    Sceptics of globalization attribute the proliferation of light weapons to economic openness. Increasing globalization apparently weakens public authority, leading to social disarray, anomic violence, and general conditions that make handgun ownership and use more likely. Pro-globalists might argue contrarily that trade openness can raise the premium on peace as violence is bad for business. Moreover, greater interdependence allows the diffusion of anti-proliferation norms and facilitates cooperative behavior among trading partners for stemming the demand for and proliferation of small arms. Using a unique dataset on small arms imports, we find that greater openness to trade and Foreign Direct Investment (FDI) lowers small arms imports per capita. A policy measure of economic freedom is associated with higher small arms imports, but this association seems to be explained entirely by the association between economic freedom and strong bureaucracies. States that are de facto more open to the global trading system are less likely to be inundated with these weapons, but richer, better-governed countries import more small arms. Global policy should pay closer attention to the seepage of these weapons from the relatively wealthy, who manufacture and buy them in larger quantities, to the poor, among whom the 'problems' associated with small arms are often manifested. Curbing those factors that encourage globalization, however, would be counterproductive to reducing the trade in small arms and light weapons.

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National Institute of Justice (2025). Survey of Gun Owners in the United States, 1996 [Dataset]. https://catalog.data.gov/dataset/survey-of-gun-owners-in-the-united-states-1996-6028b
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Data from: Survey of Gun Owners in the United States, 1996

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Dataset updated
Mar 12, 2025
Dataset provided by
National Institute of Justicehttp://nij.ojp.gov/
Area covered
United States
Description

This study was undertaken to obtain information on the characteristics of gun ownership, gun-carrying practices, and weapons-related incidents in the United States -- specifically, gun use and other weapons used in self-defense against humans and animals. Data were gathered using a national random-digit-dial telephone survey. The respondents were comprised of 1,905 randomly-selected adults aged 18 and older living in the 50 United States. All interviews were completed between May 28 and July 2, 1996. The sample was designed to be a representative sample of households, not of individuals, so researchers did not interview more than one adult from each household. To start the interview, six qualifying questions were asked, dealing with (1) gun ownership, (2) gun-carrying practices, (3) gun display against the respondent, (4) gun use in self-defense against animals, (5) gun use in self-defense against people, and (6) other weapons used in self-defense. A "yes" response to a qualifying question led to a series of additional questions on the same topic as the qualifying question. Part 1, Survey Data, contains the coded data obtained during the interviews, and Part 2, Open-Ended-Verbatim Responses, consists of the answers to open-ended questions provided by the respondents. Information collected for Part 1 covers how many firearms were owned by household members, types of firearms owned (handguns, revolvers, pistols, fully automatic weapons, and assault weapons), whether the respondent personally owned a gun, reasons for owning a gun, type of gun carried, whether the gun was ever kept loaded, kept concealed, used for personal protection, or used for work, and whether the respondent had a permit to carry the gun. Additional questions focused on incidents in which a gun was displayed in a hostile manner against the respondent, including the number of times such an incident took place, the location of the event in which the gun was displayed against the respondent, whether the police were contacted, whether the individual displaying the gun was known to the respondent, whether the incident was a burglary, robbery, or other planned assault, and the number of shots fired during the incident. Variables concerning gun use by the respondent in self-defense against an animal include the number of times the respondent used a gun in this manner and whether the respondent was hunting at the time of the incident. Other variables in Part 1 deal with gun use in self-defense against people, such as the location of the event, if the other individual knew the respondent had a gun, the type of gun used, any injuries to the respondent or to the individual that required medical attention or hospitalization, whether the incident was reported to the police, whether there were any arrests, whether other weapons were used in self-defense, the type of other weapon used, location of the incident in which the other weapon was used, and whether the respondent was working as a police officer or security guard or was in the military at the time of the event. Demographic variables in Part 1 include the gender, race, age, household income, and type of community (city, suburb, or rural) in which the respondent lived. Open-ended questions asked during the interview comprise the variables in Part 2. Responses include descriptions of where the respondent was when he or she displayed a gun (in self-defense or otherwise), specific reasons why the respondent displayed a gun, how the other individual reacted when the respondent displayed the gun, how the individual knew the respondent had a gun, whether the police were contacted for specific self-defense events, and if not, why not.

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