12 datasets found
  1. d

    Data from: Survey of Gun Owners in the United States, 1996

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Mar 12, 2025
    + more versions
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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 Justice
    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. 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.

  3. 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.

  4. d

    Replication Data for: Social Disruption, Gun Buying, and Anti-System Beliefs...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Lacombe, Matthew; Simonson, Matthew; Green, Jon; Druckman, James (2023). Replication Data for: Social Disruption, Gun Buying, and Anti-System Beliefs [Dataset]. http://doi.org/10.7910/DVN/YI3DA1
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Lacombe, Matthew; Simonson, Matthew; Green, Jon; Druckman, James
    Description

    Gun ownership is a highly a consequential political behavior. It often signifies a belief about the inadequacy of state-provided security and leads to membership in a powerful political constituency. As a result, it is important to understand why people buy guns and how shifting purchasing patterns affect the composition of the broader gun owning community. We address these topics by exploring the dynamics of the gun-buying spike that took place during the COVID-19 pandemic, which was one of the largest in American history. We find that feelings of diffuse threat prompted many individuals to buy guns. Moreover, we show that new gun owners, even more than buyers who already owned guns, exhibit strong conspiracy and anti-system beliefs. These findings have substantial consequences for the subsequent population of gun owners and provide insight into how social disruptions can alter the nature of political groups.

  5. d

    Stolen Guns

    • datasets.ai
    • bloomington.data.socrata.com
    • +2more
    23, 40, 55, 8
    Updated Aug 7, 2024
    + more versions
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    City of Bloomington (2024). Stolen Guns [Dataset]. https://datasets.ai/datasets/stolen-guns-b43e8
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    55, 23, 40, 8Available download formats
    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    City of Bloomington
    Description

    Information from Bloomington Police Department regarding guns reported stolen.

    Key code for Race:

    A- Asian/Pacific Island, Non-Hispanic B- African American, Non-Hispanic C- Hawaiian/Other Pacific Island, Hispanic H- Hawaiian/Other Pacific Island, Non-Hispanic I- Indian/Alaskan Native, Non-Hispanic K- African American, Hispanic L- Caucasian, Hispanic N- Indian/Alaskan Native, Hispanic P- Asian/Pacific Island, Hispanic S- Asian, Non-Hispanic T- Asian, Hispanic U- Unknown W- Caucasian, Non-Hispanic

    Key Code for Reading Districts:

    Example: LB519

    L for Law call or incident B stands for Bloomington 5 is the district or beat where incident occurred All numbers following represents a grid sector.

    Disclaimer: The Bloomington Police Department takes great effort in making open data as accurate as possible, but there is no avoiding the introduction of errors in this process, which relies on data provided by many people and that cannot always be verified. Information contained in this dataset may change over a period of time. The Bloomington Police Department is not responsible for any error or omission from this data, or for the use or interpretation of the results of any research conducted.

  6. d

    Mass Killings in America, 2006 - present

    • data.world
    csv, zip
    Updated Aug 31, 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
    Aug 31, 2025
    Authors
    The Associated Press
    Time period covered
    Jan 1, 2006 - Aug 1, 2025
    Area covered
    Description

    THIS DATASET WAS LAST UPDATED AT 8:11 PM EASTERN ON AUG. 30

    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.

  7. f

    Gun Violence - Mass Shootings

    • figshare.com
    pdf
    Updated Apr 1, 2024
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    RN Uma; Alade Tokuta; Rebecca Zulli Lowe; Adrienne Smith (2024). Gun Violence - Mass Shootings [Dataset]. http://doi.org/10.6084/m9.figshare.14552136.v12
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    pdfAvailable download formats
    Dataset updated
    Apr 1, 2024
    Dataset provided by
    figshare
    Authors
    RN Uma; Alade Tokuta; Rebecca Zulli Lowe; Adrienne Smith
    License

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

    Description

    The data on mass shootings is from https://www.gunviolencearchive.org/ . This dataset on mass shootings for the period 2014-2023 was provided on Feb 19, 2024 by the Data Manager (Ms. Sharon Williams) at the Gun Violence Archive (https://www.gunviolencearchive.org/) on a data request. Minimal curation was done on this data – the date variable was split into year, month and day. See the codebook for full details.A mass shooting is defined as four or more people injured or killed, because of firearms, excluding the shooter.The curated datasets are included here along with a research question and guiding questions.For information of how this data is collected, go to: https://www.gunviolencearchive.org/explainerDefinition for mass shooting and mass murder from the above website is given verbatim below:Mass Shooting Methodology and Reasoning: Mass Shootings are, for the most part an American phenomenon. While they are generally grouped together as one type of incident they are several different types including public shootings, bar/club incidents, family annihilations, drive-by, workplace and those which defy description but with the established foundation definition being that they have a minimum of four victims shot, either injured or killed, not including any shooter who may also have been killed or injured in the incident. GVA also presents the count of Mass Murder which, like the FBI's definition is four or more victims, killed, not including the shooter. Mass Murder by gun is a subset of the Mass Shooting count.

  8. A

    Automatic Weapons Industry Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 7, 2025
    + more versions
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    Data Insights Market (2025). Automatic Weapons Industry Report [Dataset]. https://www.datainsightsmarket.com/reports/automatic-weapons-industry-17533
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global automatic weapons market, valued at $9.47 billion in 2025, is projected to experience robust growth, driven by escalating geopolitical instability, increasing defense budgets across major global powers, and the continuous modernization of armed forces worldwide. The market's Compound Annual Growth Rate (CAGR) of 7.50% from 2025 to 2033 signifies a significant expansion, fueled by demand for advanced automatic rifles, machine guns, and automatic launchers. Technological advancements, such as the integration of smart technologies and improved accuracy, are key trends shaping the industry, while factors like stringent export regulations and ethical concerns regarding the proliferation of lethal weaponry act as restraints. The market is segmented by weapon type (automatic rifles, machine guns, automatic launchers, automatic cannons, and Gatling guns) and platform (land, airborne, and naval), reflecting diverse operational needs across various military branches and applications. North America and Europe currently hold significant market shares due to high defense spending and established manufacturing bases, but the Asia-Pacific region is anticipated to demonstrate strong growth in the coming years, driven by increasing military expenditure and modernization efforts within several nations. Key players like Heckler & Koch, General Dynamics, and Rheinmetall are at the forefront of innovation, constantly striving to meet evolving military requirements and emerging market demands. The competitive landscape is characterized by intense rivalry among established players and emerging manufacturers. Companies are focusing on research and development to enhance the capabilities of automatic weapons, incorporating features such as improved ergonomics, reduced recoil, and increased accuracy. The integration of advanced materials and technologies is further driving innovation within the sector. Growth strategies, including mergers and acquisitions, strategic partnerships, and technological advancements, are being adopted by market leaders to expand their market share and maintain a competitive edge. The demand for lighter, more portable, and technologically advanced weapons is also driving innovation. Regional variations in market dynamics will continue to exist, based on specific geopolitical factors and governmental defense priorities. The projected growth trajectory indicates a significant market opportunity for manufacturers in the coming decade, albeit one subject to the complex interplay of global political and economic factors. This report provides a detailed analysis of the global automatic weapons industry, covering the period 2019-2033, with a focus on market size, growth drivers, challenges, and key players. It leverages a robust dataset, incorporating historical data (2019-2024), a base year of 2025, and forecasts extending to 2033. The report is crucial for stakeholders seeking to understand the dynamics of this complex and regulated sector. High-search-volume keywords like "automatic weapons market," "machine gun market," "military weapons market," "automatic rifle market," and "defense industry analysis" are strategically integrated to maximize online visibility. Recent developments include: March 2023: the Estonian Defense Investment Centre awarded an order to Israel's IWI for the supply of 1,000 NG7 "Negev" light machine weapon systems to the Estonian Army. The "Negevv" machine guns, which are expected to be delivered towards the end of 2023, will take over from MG3 and KSP-58 machines that are already in use. NEGEV 7.62 LMG is a NATO 7.62x51mm Light machine gun, which is used by many countries worldwide., February 2022: The US Army awarded FN America with a USD 49 million contract to supply M240L medium machine guns and titanium receivers. The M240L, which is roughly 18% lighter than the M240B, was adopted in 2010 after a joint effort by FN and the US Army. It is to reduce overall weight while maintaining the performance and durability of the machine gun.. Notable trends are: Land Segment to Witness Highest Growth During the Forecast Period.

  9. e

    International Relations (June 1961) - Dataset - B2FIND

    • b2find.eudat.eu
    Updated May 4, 2023
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    (2023). International Relations (June 1961) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/6b5009e6-89fe-5fcd-94c0-14e048195bb5
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    Dataset updated
    May 4, 2023
    Description

    Attitude to questions of international policy and the competition of the great powers. Topics: The split questionnaire consists of a common part (A/B) and a part (A and B) differing according to survey group. On part A/B: attitude to selected European countries and the USA as well as the USSR; preferred orientation of one´s country towards the USA or the USSR; seriousness of the disarmament efforts of the great powers; agreement of interests between one´s country and the USA or the USSR; USA or USSR as leading current and future economic power as well as in space research; interest in international political questions; party preference. Form A: judgement on Soviet and American foreign policy; assessment of the outcome of the conference between Kennedy and Khruschev; expected superiority of the Soviet Union or America in peaceful competition of the next few years; comparison of the capability of the USA and the Soviet Union in the areas science, space research, welfare, education, culture, medicine, astronomy, atomic energy and mathematics; general comparison of science regarding its freedoms, capability and extent in the two great powers; judgement on the success of manned space travel in the Soviet Union and the USA; attitude to disarmament and the prohibition of nuclear weapons; attitude to a resumption of American nuclear weapons tests in case of failure of the Geneva conference or in case of underground tests in the Soviet Union; trust in NATO and the allies; knowledge about the disarmament proposals of the USA and the Soviet Union; attitude to foreign aid; judgement on the extent of foreign aid from Great Britain, France, Germany, Italy and America; judgement on the extent of American military aid; attitude to use of force by the Western Powers in case of increased pressure by the Soviet Union on West Berlin; attitude to the conduct of the Americans in Laos; judgement on the situation of blacks in the USA and perceived development on equal rights with whites. Form B: Stereotype of the USA and the USSR; danger of war; seriousness of American and Soviet foreign policy; judgement on the conference between de Gaulle and Kennedy; assessment of the current and future western or eastern superiority in the military area, regarding the standard of living, scientific development as well as industrial and agricultural production; comparison of the success of the two great powers in the area of space travel; achievement and significance of science in the USSR in comparison to that in the USA in the areas meteorology, deep sea research, psychology and electronic research; most successful nation in manned space flight; attitude to a disarmament treaty and assignment of blame in the case of failure; preference for an immediate prohibition of production of nuclear weapons even without enforcement measures; judgement on the Peace Corps Program and the striving for independence by third world countries; trust in the allies in case of a national conflict; trust in the leadership ability of the USA to solve world problems; Cuba Crisis; personal opinion leadership in political questions. Einstellung zu Fragen der internationalen Politik und zum Wettstreit der Großmächte. Themen: Der gegabelte Fragebogen besteht aus einem gemeinsamen Teil (A/B) und einem je nach Befragungsgruppe verschiedenen Teil (A und B). Zum Teil A/B: Einstellung zu ausgewählten europäischen Ländern und den USA sowie der UdSSR; präferierte Orientierung des eigenen Landes zu den USA oder zur UdSSR; Ernsthaftigkeit der Abrüstungsbemühungen der Großmächte; Interessenüberstimmung zwischen dem eigenen Land und den USA oder der UdSSR; USA oder UdSSR als führende derzeitige und zukünftige Wirtschaftsmacht sowie in der Weltraumforschung; Interesse an internationalen politischen Fragen; Parteipräferenz. Form A: Beurteilung der sowjetischen und amerikanischen Außenpolitik; Einschätzung des Erfolgs der Konferenz zwischen Kennedy und Chruschtschow; erwartete Überlegenheit der Sowjetunion oder Amerikas im friedlichen Wettbewerb der nächsten Jahre; Vergleich der Leistungsfähigkeit der USA und der Sowjetunion in den Bereichen Wissenschaft, Weltraumforschung, Sozialfürsorge, Ausbildung, Kultur, Medizin, Astronomie, Atomenergie und Mathematik; allgemeiner Vergleich der Wissenschaft bezüglich ihrer Freiheiten, ihrer Leistungsfähigkeit und ihres Umfangs in den beiden Großmächten; Beurteilung der Erfolge der bemannten Weltraumfahrt in der Sowjetunion und in den USA; Einstellung zur Abrüstung und zum Verbot von Kernwaffen; Einstellung zu einer Wiederaufnahme amerikanischer Kernwaffenversuche im Falle des Scheiterns der Genfer Konferenz oder im Falle unterirdischer Tests in der Sowjetunion; Vertrauen in die Nato und zu den Verbündeten; Kenntnis der Abrüstungsvorschläge der USA und der Sowjetunion; Einstellung zur Entwicklungshilfe; Beurteilung des Umfangs der Entwicklungshilfe aus Großbritannien, Frankreich, Deutschland, Italien und Amerika; Beurteilung des Ausmaßes amerikanischer Militärhilfe; Einstellung zu einer Gewaltanwendung der Westmächte im Fall eines verstärkten Drucks durch die Sowjetunion auf West-Berlin; Einstellung zum Verhalten der Amerikaner in Laos; Beurteilung der Lage der Schwarzen in den USA und perzipierte Entwicklung zur Gleichberechtigung mit den Weißen. Form B: Stereotyp von USA und UdSSR; Kriegsgefahr; Ernsthaftigkeit amerikanischer und sowjetischer Außenpolitik; Beurteilung der Konferenz zwischen de Gaulle und Kennedy; Einschätzung der aktuellen und zukünftigen westlichen oder östlichen Überlegenheit auf militärischem Gebiet, bezüglich des Lebensstandards, der wissenschaftlichen Entwicklung sowie der industriellen und landwirtschaftlichen Produktion; Vergleich des Erfolgs der beiden Großmächte auf dem Gebiet der Weltraumfahrt; Leistungsstand und Bedeutung der Wissenschaft in der UdSSR im Vergleich zu der in den USA auf den Gebieten der Meteorologie, der Tiefseeforschung, der Psychologie und der Elektronenforschung; erfolgreichste Nation in der bemannten Weltraumfahrt; Einstellung zu einem Abrüstungsabkommen und Schuldzuweisung für den Fall eines Scheiterns; Präferenz für eine sofortige Ächtung der Atomwaffenherstellung, auch ohne Kontrollmaßnahmen; Beurteilung des "Friedens-Korps"-Programms und der Unabhängigkeitsbestrebungen von Ländern der Dritten Welt; Vertrauen zu den Alliierten im Falle eines nationalen Konfliktes; Vertrauen in die Führungskompetenz der USA zur Lösung der Weltprobleme; Kubakrise; eigene Meinungsführerschaft in politischen Fragen.

  10. T

    United States Imports from India of Arms and ammunition, parts and...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 10, 2020
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    TRADING ECONOMICS (2020). United States Imports from India of Arms and ammunition, parts and accessories [Dataset]. https://tradingeconomics.com/united-states/imports/india/arms-ammunition-parts-accessories
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Feb 10, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    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, 2025
    Area covered
    United States
    Description

    United States Imports from India of Arms and ammunition, parts and accessories was US$68.79 Million during 2024, according to the United Nations COMTRADE database on international trade. United States Imports from India of Arms and ammunition, parts and accessories - data, historical chart and statistics - was last updated on September of 2025.

  11. N

    Gun Barrel City, TX median household income breakdown by race betwen 2013...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
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    Neilsberg Research (2025). Gun Barrel City, TX median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/research/datasets/ed1a6d77-f665-11ef-a994-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Gun Barrel City, Texas
    Variables measured
    Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data from 2013 to 2023. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Gun Barrel City. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

    Key observations

    • White: In Gun Barrel City, the median household income for the households where the householder is White increased by $21,692(45.80%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $47,363 in 2013 and $69,055 in 2023.
    • Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2013 and 2023.
    • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Gun Barrel City.
    • 2010: 2010 median household income
    • 2011: 2011 median household income
    • 2012: 2012 median household income
    • 2013: 2013 median household income
    • 2014: 2014 median household income
    • 2015: 2015 median household income
    • 2016: 2016 median household income
    • 2017: 2017 median household income
    • 2018: 2018 median household income
    • 2019: 2019 median household income
    • 2020: 2020 median household income
    • 2021: 2021 median household income
    • 2022: 2022 median household income
    • 2023: 2023 median household income
    • Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Gun Barrel City median household income by race. You can refer the same here

  12. N

    Gun Plain Township, Michigan median household income breakdown by race...

    • neilsberg.com
    csv, json
    Updated Mar 1, 2025
    + more versions
    Share
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    Cite
    Neilsberg Research (2025). Gun Plain Township, Michigan median household income breakdown by race betwen 2013 and 2023 [Dataset]. https://www.neilsberg.com/research/datasets/ed1a6df5-f665-11ef-a994-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 1, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Michigan, Gun Plain Township
    Variables measured
    Median Household Income Trends for Asian Population, Median Household Income Trends for Black Population, Median Household Income Trends for White Population, Median Household Income Trends for Some other race Population, Median Household Income Trends for Two or more races Population, Median Household Income Trends for American Indian and Alaska Native Population, Median Household Income Trends for Native Hawaiian and Other Pacific Islander Population
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. To portray the median household income within each racial category idetified by the US Census Bureau, we conducted an initial analysis and categorization of the data from 2013 to 2023. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). It is important to note that the median household income estimates exclusively represent the identified racial categories and do not incorporate any ethnicity classifications. Households are categorized, and median incomes are reported based on the self-identified race of the head of the household. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Gun Plain township. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2013 and 2023, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

    Key observations

    • White: In Gun Plain township, the median household income for the households where the householder is White increased by $3,939(4.75%), between 2013 and 2023. The median household income, in 2023 inflation-adjusted dollars, was $82,850 in 2013 and $86,789 in 2023.
    • Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2013 and 2023.
    • Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Racial categories include:

    • White
    • Black or African American
    • American Indian and Alaska Native
    • Asian
    • Native Hawaiian and Other Pacific Islander
    • Some other race
    • Two or more races (multiracial)

    Variables / Data Columns

    • Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Gun Plain township.
    • 2010: 2010 median household income
    • 2011: 2011 median household income
    • 2012: 2012 median household income
    • 2013: 2013 median household income
    • 2014: 2014 median household income
    • 2015: 2015 median household income
    • 2016: 2016 median household income
    • 2017: 2017 median household income
    • 2018: 2018 median household income
    • 2019: 2019 median household income
    • 2020: 2020 median household income
    • 2021: 2021 median household income
    • 2022: 2022 median household income
    • 2023: 2023 median household income
    • Please note: All incomes have been adjusted for inflation and are presented in 2023-inflation-adjusted dollars.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Gun Plain township median household income by race. You can refer the same here

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
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

Data from: Survey of Gun Owners in the United States, 1996

Related Article
Explore at:
Dataset updated
Mar 12, 2025
Dataset provided by
National Institute of Justice
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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