As of 2026, *********** was the state with the highest gun violence rate in the United States, at **** fatalities per 100,000 residents. It was followed by **********, at ** fatalities per 100,000 residents. In comparison, Hawaii had a gun violence rate of *** deaths per 100,000 residents, the lowest out of all the states. Over the past decade, there were over ****** homicides by firearm in the U.S. each year. The importance of gun laws Gun laws in the United States vary from state to state. Notably, strickter gun laws have been associated with a lower death rate by gun violence. In addition, some states suffer from high rates of gun violence despite having strong gun safety laws due to gun trafficking, as traffickers can distribute firearms illegally past state lines. The right to bear arms Many U.S. voters remain reluctant to enact gun control laws. This can largely be attributed to the Second Amendment of the Constitution, which asserts citizens right to bear arms. Consequently, gun control has become a highly partisan issue in the U.S., with ** percent of Democrats believing that it was more important to limit gun ownership, while ** percent of Republicans felt that it was more important to protect the right of Americans to own guns.

The graph shows the number of gun deaths per year in the United States from 1999 to 2023. The x-axis represents the years, while the y-axis displays the annual count of gun-related fatalities. The data ranges from a low of 28,663 gun deaths in 2000 to a high of 48,830 in 2021. From 1999 to 2014, the numbers remained relatively stable with slight fluctuations. However, gun deaths began increasing significantly after 2015, peaking in 2021 before a slight decline in 2022 and 2023. The graph highlights long-term trends in gun-related fatalities, emphasizing a notable rise in recent years.

1) Data Introduction • The Gun Violence Dataset in US is a tabularized data set for gun violence analysis that includes the date, location, victim and suspect information, and geographic coordinates of major 2024 shootings across the U.S.

2) Data Utilization (1) Gun Violence Dataset in US has characteristics that: • Each row contains key information about the shooting, including incident-specific ID, date of occurrence, state and city/county, number of deaths and injuries, suspects (death, injury, arrest), latitude, and longitude. • Data is designed to analyze the distribution of gun incidents and the extent of damage by month and region, and spatial analysis through geographic coordinates is also possible. (2) Gun Violence Dataset in US can be used to: • Analysis of shooting trends by region: Use data by location, magnitude of damage, and time to visualize and analyze the regional and temporal distribution and risk areas of gun violence. • Establishing public safety policies and prevention strategies: Based on victim and suspect information and incident characteristics, it can be used to establish effective gun control, prevention policies, resource allocation strategies, and more.

The statistic shows the rate of firearm homicide deaths per 100,000 of population in the United States from 1990 to 2020. In 2020, about 5.9 of every 100,000 people were killed by a firearm in the United States.

The death rate from firearm-related injuries in the United States reached 19.4 per 100,000 population among males in 2016. Females have a much smaller rate of firearm-related deaths than males, with the rate among males over five times that of females. The overall death rate from firearm-related injuries has risen in recent years after seeing a drop in the late 1990s.

Homicides from firearms

Homicides account for a large portion of firearm-related deaths. In 2017, there were almost 11,000 homicides by firearm in the United States. In fact, as of that time, homicides by firearm accounted for around 72.6 percent of all homicides in the U.S. Handguns are the most commonly used firearm for homicide.

Gun ownership

Firearms regulation, or gun control, remains a relevant and divisive issue in the U.S. However, the ownership of legal firearms is widespread. As of 2018, around 43 percent of households had at least one firearm, an increase from recent years. Unsurprisingly, just as men have a higher death rate from firearms, they also have a much higher firearm ownership rate.

The Office of Gun Violence Prevention (OGVP) shares real-time gun violence data to increase government transparency, improve the public's awareness, and support community-based gun violence prevention and reduction partners. All District crime data is available through Crime Cards. The dashboards below focus on gun violence only. The data in these dashboards is updated daily at 7:40AM with the incidents from the day before. View data covering 7-Day Look-back of Gun Violence and Year-to-date Gun Violence. All statistics presented here are based on preliminary DC criminal code offense definitions. The data do not represent official statistics submitted to the FBI under the Uniform Crime Reporting program (UCR) or National Incident Based Reporting System (NIBRS). All preliminary offenses are coded based on DC criminal code and not the FBI offense classifications. Please understand that any comparisons between MPD preliminary data as published on this website and the official crime statistics published by the FBI under the Uniform Crime Reporting Program (UCR) are inaccurate and misleading. The MPD does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The MPD will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. Read complete data notes at buildingblocks.dc.gov/data.

Rates are per 100,000 children and adolescents and are presented by category: age group, race/ethnicity, and sex.

. Notes: Reported rates are crude rates per 100,000 children and adolescents ages 17 and below. Persons of Hispanic origin may be of any race but are categorized as Hispanic for this analysis; other groups are non-Hispanic. AIAN refers to American Indian and Alaska Native people. Data for Native Hawaiian or Other Pacific Islander people is not available. Causes of death attributable to firearm mortality include ICD-10 Codes W32-W34, X72-X74, X93-X95, Y22-Y24, and Y35.0.

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.

Child and Adolescent Firearm Death Distribution vs. Population Distribution, by Race and Ethnicity, 2024. Notes: Children and adolescents includes individuals ages 17 and below. AIAN refers to American Indian and Alaska Native people. Persons of Hispanic origin may be of any race but are categorized as Hispanic for this analysis; other groups are non-Hispanic. Data for Native Hawaiian or Other Pacific Islander people is not available. ICD-10 codes for firearm mortality include W32-W34, X72-X74, X93-X95, Y22-Y24, and Y35.0.

Mortality rate from firearms includes homicides, suicides, accidental deaths, deaths by law enforcement, and deaths for which intent was undetermined. Mortality rate is based on the location of residence and has been age-adjusted to the 2000 U.S. standard population. ICD 10 codes used to identify firearm deaths are W32-W34, X72-X74, X93-X95, Y22-Y24, Y35.0, and U01.4. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Violence is a public health crisis in the US, with gun violence being a major driver. In the US, the age-adjusted homicide rate from firearms is more than 20 times higher than in the European Union or in Australia. Significant disparities by age, sex, and race and ethnicity exist, with young adults (ages 15-34 years), males, and Black individuals most disproportionately impacted. Firearm-related suicides disproportionately impact older, White men. Comprehensive prevention strategies should work to address underlying physical, social, economic, and structural conditions known to increase risk.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

This dataset contains all gun death incidents between 2012 and 2014 in the US collected by the CDC.

Thanks to FiveThirtyEight for creating the GitHub repository.

Acknowlegement

Foto von Mitya Ivanov auf Unsplash

In the United States in 2024, significantly more men than women died due to injuries involving firearms. In that year, ***** women died from injuries involving firearms across the country compared to ****** men.

The Gun Violence Archive (GVA) is an online archive of gun violence incidents collected from over 7,500 law enforcement, media, government and commercial sources daily in an effort to provide near-real time data about the results of gun violence. GVA was established in 2013 as an independent data collection and research group to provide comprehensive data for the national conversation regarding gun violence.

GVA catalogs both incidents of gun-related deaths and incidents where a victim was injured by shooting or by a victim who was the subject of an armed robber or home invader. Incidents of defensive gun use, homeowners who stop a home invasion, store clerks who stop a robbery, individuals who stop an assault or rape with a gun are also collected. The two exceptions to the near real-time collection are suicides by gun, which are collected quarterly and annually due to differing distribution methods by government agencies, and for armed robberies with no injuries or DGU characteristics, which are collected in aggregate with law enforcement quarterly and annual reports. GVA also records incidents of Bureau of Alcohol, Tobacco, Firearms, and Explosives (ATF) and local law enforcement involvement in recovering illegal or stolen weapons; incidents where guns were reported stolen from homes, vehicles, and businesses; incidents where Airsoft or BB guns are used as weapons (but not where they are used in general vandalism or delinquency); and TSA data of guns illegally taken through airport security points. Incident data are categorized by number of deaths, number of injuries, number of children, number of teens, mass shootings, officers shot, suspect shot by officer, home invasion, defensive use, and unintentional shooting.

Data tables relating to offences involving weapons as recorded by police and hospital episode statistics.

This dataset consists of gun violence within Jefferson county that may fall within LMPDs radar, including non-fatal shootings, homicides, as well as shot-spotter data. The mapping data points where there are victims have been obfuscated to maintain privacy, while still being accurate enough to be placed in its correct boundaries, particularly around, neighborhoods, ZIP Codes, Council districts, and police divisions. The data also excludes any victim information that could be used to identify any individual. this data is used to make the public aware of what is going on in their communities. The data consists of only criminal incidents, excluding any cases that are deemed non-criminal.Field NameField DescriptionCase numberPolice report number. For ShotSpotter detections, it is the ShotSpotter ID.DateTimeDate and time in which the original incident occurred. Time is rounded down.AddressAddress rounded down to the one hundred block of where the initial incident occured. Unless it is an intersection.NeighborhoodNeighborhood in which the original incident occurred.Council DistrictCouncil district in which the original incident occurred.LatitudeLatitude coordinate used to map the incidentLongitudeLongitude coordinate used to map the incidentZIP CodeZIP Code in which the original incident occurred.Crime Typea distinction between incidents, whether it is a non-fatal shooting, homicide, or a ShotSpotter detection.CauseUsed to differentiate on the cause of death for homicide victims.SexGender of the victim of the initial incident.RaceRace/Ethnicity of the victim in a given incident.Age GroupCategorized age groups used to anonymize victim information.Division NamePolice division or department where the initial incident occurred.Crime report data is provided for Louisville Metro Police Divisions only; crime data does not include smaller class cities, unless LMPD becomes involved in smaller agency incident.The data provided in this dataset is preliminary in nature and may have not been investigated by a detective at the time of download. The data is therefore subject to change after a complete investigation. This data represents only calls for police service where a police incident report was taken. Due to the variations in local laws and ordinances involving crimes across the nation, whether another agency utilizes Uniform Crime Report (UCR) or National Incident Based Reporting System (NIBRS) guidelines, and the results learned after an official investigation, comparisons should not be made between the statistics generated with this dataset to any other official police reports. Totals in the database may vary considerably from official totals following the investigation and final categorization of a crime. Therefore, the data should not be used for comparisons with Uniform Crime Report or other summary statistics.Contact:Ivan Benitez, Ph.D.Gun Violence Data FellowOffice for Safe and Healthy Neighborhoodsivan.benitez@louisvilleky.gov

This dataset consists of gun violence within Jefferson county that may fall within LMPDs radar, including non-fatal shootings, homicides, as well as shot-spotter data. The mapping data points where there are victims have been obfuscated to maintain privacy, while still being accurate enough to be placed in its correct boundaries, particularly around, neighborhoods, ZIP Codes, Council districts, and police divisions. The data also excludes any victim information that could be used to identify any individual. this data is used to make the public aware of what is going on in their communities. The data consists of only criminal incidents, excluding any cases that are deemed non-criminal.Field NameField DescriptionCase numberPolice report number. For ShotSpotter detections, it is the ShotSpotter ID.DateTimeDate and time in which the original incident occurred. Time is rounded down.AddressAddress rounded down to the one hundred block of where the initial incident occured. Unless it is an intersection.NeighborhoodNeighborhood in which the original incident occurred.Council DistrictCouncil district in which the original incident occurred.LatitudeLatitude coordinate used to map the incidentLongitudeLongitude coordinate used to map the incidentZIP CodeZIP Code in which the original incident occurred.Crime Typea distinction between incidents, whether it is a non-fatal shooting, homicide, or a ShotSpotter detection.CauseUsed to differentiate on the cause of death for homicide victims.SexGender of the victim of the initial incident.RaceRace/Ethnicity of the victim in a given incident.Age GroupCategorized age groups used to anonymize victim information.Division NamePolice division or department where the initial incident occurred.CVI SiteCommunity Violence Intervention (CVI) site is a neighborhood based hub that works directly with people at highest risk of violence, using trusted messengers, conflict mediation, and supportive services to prevent shootings and promote safety. Crime report data is provided for Louisville Metro Police Divisions only; crime data does not include smaller class cities, unless LMPD becomes involved in smaller agency incident.The data provided in this dataset is preliminary in nature and may have not been investigated by a detective at the time of download. The data is therefore subject to change after a complete investigation. This data represents only calls for police service where a police incident report was taken. Due to the variations in local laws and ordinances involving crimes across the nation, whether another agency utilizes Uniform Crime Report (UCR) or National Incident Based Reporting System (NIBRS) guidelines, and the results learned after an official investigation, comparisons should not be made between the statistics generated with this dataset to any other official police reports. Totals in the database may vary considerably from official totals following the investigation and final categorization of a crime. Therefore, the data should not be used for comparisons with Uniform Crime Report or other summary statistics. Contact:Ivan Benitez, Ph.D.Gun Violence Data FellowOffice for Safe and Healthy Neighborhoodsivan.benitez@louisvilleky.gov

This data is from the CDC Wonder database search for death by firearm. The data identifies deaths by suicide and total deaths. Death by homicide is derived. For each state - year, deaths per 100,000 people are computed (suicide, total), homicide rate is derived. The population data for state year is included. The data is from 1979 to 2023 and is tabulated by state each year. A national average of the deaths by firearm is computed for each year. An additional csv section in this data set includes the average firearm deaths per state over the span (1979-2023)

In the United States, Black people have higher rates of gun homicide than white people across all age groups. As of 2022, gun homicide rates were highest among Black people aged between 15 and 24 years, at ***** gun homicides per 100,000 of the population. In comparison, there were only **** gun homicides per 100,000 of the white population within this age range. However, the risk for gun homicide was greatest among all adolescents and adults between the ages of 15 to 44 in that year. The impact of guns on young Americans In the last few years, firearms have become the leading cause of death for American children and teenagers aged one to 19 years old, accounting for more deaths than car crashes and diseases. School shootings also remain on the rise recently, with the U.S. recording ** times as many school shootings than other high-income nations from 2009 to 2018. Black students in particular experience a disproportionately high number of school shootings relative to their population, and K-12 teachers at schools made up mostly of students of color are more likely to report feeling afraid that they or their students would be a victim of attack or harm. The right to bear arms Despite increasingly high rates of gun-related violence, gun ownership remains a significant part of American culture, largely due to the fact that the right to bear arms is written into the U.S. Constitution. Although firearms are the most common murder weapon used in the U.S., accounting for approximately ****** homicides in 2022, almost **** of American households have at least one firearm in their possession. Consequently, it is evident that firearms remain easily accessible nationwide, even though gun laws may vary from state to state. However, the topic of gun control still causes political controversy, as the majority of Republicans agree that it is more important to protect the right of Americans to own guns, while Democrats are more inclined to believe that it is more important to limit gun ownership.

In 2023, 13,529 recorded murders in the United States were committed by firearm. This is a decrease from the previous year, when 12,244 homicides were committed with a firearm in the country. However, figures may not accurately reflect the total number of homicides, as not all law enforcement agencies in the U.S. submitted homicide data.

Context

The dataset featured below was created by reconciling measurements from requests of gun violence incidents provided by the Gun Violence Archive (GVA). The attributes provided are simple in order to promote EDA and engagement from the Kaggle community to raise awareness about the magnitude of this issue. I will be working weekly to update the dataset and scrape more descriptive information about each recorded incident.

-> This dataset is also intended to serve as an update to this Gun Violence Dataset which contains even more information along with each recorded incident.

Content

The size for the files featured within this Kaggle dataset are shown below — along with a list of attributes and their description summaries: - all_incidents.csv - 472820 observations x 7 attributes - mass_shootings.csv - 3609 observations x 7 attributes

1. incident id - incident unique identifier - (str)
2. incident date - recorded date of incident - (date)
3. state - US state in which the incident took place - (str)
4. city - city within the state where the incident took place - (str)
5. address - street address where the incident took place - (str)
6. # killed - number of persons killed during incident - (int)
7. # injured - number of persons injured during incident - (int)

Source

Gun Violence Incidents - https://www.gunviolencearchive.org