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.

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.

This study examined spatial and temporal features of crime guns in Pittsburgh, Pennsylvania, in order to ascertain how gun availability affected criminal behavior among youth, whether the effects differed between young adults and juveniles, and whether that relationship changed over time. Rather than investigating the general prevalence of guns, this study focused only on those firearms used in the commission of crimes. Crime guns were defined specifically as those used in murders, assaults, robberies, weapons offenses, and drug offenses. The emphasis of the project was on the attributes of crime guns and those who possess them, the geographic sources of those guns, the distribution of crime guns over neighborhoods in a city, and the relationship between the prevalence of crime guns and the incidence of homicide. Data for Part 1, Traced Guns Data, came from the City of Pittsburgh Bureau of Police. Gun trace data provided a detailed view of crime guns recovered by police during a two-year period, from 1995 to 1997. These data identified the original source of each crime gun (first sale to a non-FFL, i.e., a person not holding a Federal Firearms License) as well as attributes of the gun and the person possessing the gun at the time of the precipitating crime, and the ZIP-code location where the gun was recovered. For Part 2, Crime Laboratory Data, data were gathered from the local county crime laboratory on guns submitted by Pittsburgh police for forensic testing. These data were from 1993 to 1998 and provided a longer time series for examining changes in crime guns over time than the data in Part 1. In Parts 3 and 4, Stolen Guns by ZIP-Code Data and Stolen Guns by Census Tract Data, data on stolen guns came from the local police. These data included the attributes of the guns and residential neighborhoods of owners. Part 3 contains data from 1987 to 1996 organized by ZIP code, whereas Part 4 contains data from 1993 to 1996 organized by census tract. Part 5, Shots Fired Data, contains the final indicator of crime gun prevalence for this study, which was 911 calls of incidents involving shots fired. These data provided vital information on both the geographic location and timing of these incidents. Shots-fired incidents not only captured varying levels of access to crime guns, but also variations in the willingness to actually use crime guns in a criminal manner. Part 6, Homicide Data, contains homicide data for the city of Pittsburgh from 1990 to 1995. These data were used to examine the relationship between varying levels of crime gun prevalence and levels of homicide, especially youth homicide, in the same city. Part 7, Pilot Mapping Application, is a pilot application illustrating the potential uses of mapping tools in police investigations of crime guns traced back to original point of sale. NTC. It consists of two ArcView 3.1 project files and 90 supporting data and mapping files. Variables in Part 1 include date of manufacture and sale of the crime gun, weapon type, gun model, caliber, firing mechanism, dealer location (ZIP code and state), recovery date and location (ZIP code and state), age and state of residence of purchaser and possessor, and possessor role. Part 2 also contains gun type and model, as well as gun make, precipitating offense, police zone submitting the gun, and year the gun was submitted to the crime lab. Variables in Parts 3 and 4 include month and year the gun was stolen, gun type, make, and caliber, and owner residence. Residence locations are limited to owner ZIP code in Part 3, and 1990 Census tract number and neighborhood name in Part 4. Part 5 contains the date, time, census tract and police zone of 911 calls relating to shots fired. Part 6 contains the date and census tract of the homicide incident, drug involvement, gang involvement, weapon, and victim and offender ages. Data in Part 7 include state, county, and ZIP code of traced guns, population figures, and counts of crime guns recovered at various geographic locations (states, counties, and ZIP codes) where the traced guns first originated in sales by an FFL to a non-FFL individual. Data for individual guns are not provided in Part 7.

The civilian hunting rifle market, a significant segment within the broader firearms industry, is experiencing robust growth driven by several key factors. Increased participation in hunting activities, coupled with a rising demand for recreational shooting sports, fuels market expansion. Technological advancements in rifle design, incorporating features like improved accuracy, ergonomics, and lighter weight materials, are enhancing the appeal of these firearms among both novice and experienced hunters. Furthermore, a growing preference for specialized rifles catering to specific hunting applications (big game vs. small game) is driving market segmentation and innovation. The market is witnessing the emergence of technologically advanced rifles with improved optics and features like adjustable stocks, enhancing the overall hunting experience. This is leading to premium pricing segments with higher profit margins for manufacturers. This growth is particularly evident in regions with established hunting cultures and strong firearm ownership rates such as North America and parts of Europe. However, stringent regulations regarding firearm ownership and sales in certain regions, coupled with concerns around responsible firearm handling and safety, act as significant restraints on market expansion. The market is also susceptible to fluctuations in economic conditions and consumer confidence, impacting purchasing decisions. Competitive dynamics, marked by the presence of both established players and emerging manufacturers offering innovative designs and price points, further shape the market landscape. The competitive landscape is characterized by a mix of established global brands and regional players. Major manufacturers like Howa Machinery, J.G. Anschutz, Beretta Holding, and others, are leveraging their brand recognition and established distribution networks to maintain market share. However, newer entrants are making inroads with innovative designs and competitive pricing. The market is segmented by rifle type (light, standard, heavy) and hunting application (big game, small game), allowing manufacturers to target specific niche markets. Future growth will depend on adapting to evolving consumer preferences, complying with evolving regulatory landscapes, and effectively communicating the importance of responsible firearm ownership. Technological advancements, particularly in materials science and optics, are poised to significantly impact the product offerings in the coming years, enhancing the performance and appeal of civilian hunting rifles. The market's success will hinge on balancing growth with responsible firearm stewardship.

BackgroundGun violence has shortened the average life expectancy of Americans, and better knowledge about the root causes of gun violence is crucial to its prevention. While some empirical evidence exists regarding the impacts of social and economic factors on violence and firearm homicide rates, to the author’s knowledge, there has yet to be a comprehensive and comparative lagged, multilevel investigation of major social determinants of health in relation to firearm homicides and mass shootings.Methods and findingsThis study used negative binomial regression models and geolocated gun homicide incident data from January 1, 2015, to December 31, 2015, to explore and compare the independent associations of key state-, county-, and neighborhood-level social determinants of health—social mobility, social capital, income inequality, racial and economic segregation, and social spending—with neighborhood firearm-related homicides and mass shootings in the United States, accounting for relevant state firearm laws and a variety of state, county, and neighborhood (census tract [CT]) characteristics. Latitude and longitude coordinates on firearm-related deaths were previously collected by the Gun Violence Archive, and then linked by the British newspaper The Guardian to CTs according to 2010 Census geographies. The study population consisted of all 74,134 CTs as defined for the 2010 Census in the 48 states of the contiguous US. The final sample spanned 70,579 CTs, containing an estimated 314,247,908 individuals, or 98% of the total US population in 2015. The analyses were based on 13,060 firearm-related deaths in 2015, with 11,244 non-mass shootings taking place in 8,673 CTs and 141 mass shootings occurring in 138 CTs. For area-level social determinants, lag periods of 3 to 17 years were examined based on existing theory, empirical evidence, and data availability. County-level institutional social capital (levels of trust in institutions), social mobility, income inequality, and public welfare spending exhibited robust relationships with CT-level gun homicide rates and the total numbers of combined non-mass and mass shooting homicide incidents and non-mass shooting homicide incidents alone. A 1–standard deviation (SD) increase in institutional social capital was linked to a 19% reduction in the homicide rate (incidence rate ratio [IRR] = 0.81, 95% CI 0.73–0.91, p

Abstract (en): The Home Safety Project was a population-based case control study of homicide in the home with control households matched to cases by victim age range, race, gender, and neighborhood (a proxy for socioeconomic status). The study was conducted in the following locations: Shelby County, Tennessee (August 23, 1987-August 23, 1992), King County, Washington (August 23, 1987-August 23, 1992), and Cuyahoga County, Ohio (January 1, 1990-August 23, 1992). The purpose of the data collection was to study risk and protective factors for homicide in the home and to identify individual and household factors associated with homicide (both behavioral and environmental). Respondents were asked a series of questions related to alcohol consumption, such as whether drinking ever created problems between household members, whether any household members had had trouble at work because of drinking, whether any physical fights or other violence had occurred in the home or outside the home due to drinking, and whether any injuries or hospital stays had resulted from drinking/fighting episodes. Additional queries covered whether any adult in the household had ever been arrested for any reason, whether anyone in the household used illicit drugs, and, if so, which ones. Questions on home safety features included whether the home had a burglar alarm, bars on the windows, exterior door deadbolt, security door, dogs, and any restricted access to the residence. Items on gun ownership covered whether there were any guns in the home and, if so, what type. Information also was elicited on the homicide that had taken place in the home, including whether the suspect was intimate with the victim, whether there was evidence of forced entry or entry without consent, whether the victim attempted to resist, and the respondent's assumption of the method of death as well as the medical examiner's determination. Demographic information includes victims' age, sex, and race, and respondents' age and sex. The unit of analysis is individual cases of homicide. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. All homicides in homes that involved residents of the three study counties (Shelby County, Tennessee, King County, Washington, and Cuyahoga County, Ohio) during the study interval. Any death that was ruled a homicide was included, regardless of method. Assaults were included if the victim died within three months due to injury. 2006-03-30 File CB6898.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.1997-11-18 One variable was recoded in Part 1, Homicide Data, and corresponding changes were made to the codebook and data definition statements. Also, in the codebook and data definition statements, several value labels were changed and the order of two variables was switched. Funding insitution(s): United States Department of Health and Human Services. Centers for Disease Control and Prevention (CCR 402424 and CCR 403519). All individual identifiers were removed by the principal investigators to protect confidentiality.

This study contains data from the Northwestern Juvenile Project (NJP) series, a prospective longitudinal study of the mental health needs and outcomes of youth in detention. This study examined the following goals: (1) firearm involvement (access, ownership, and use) during adolescence and young adulthood; (2) perpetration of firearm violence over time; and (3) patterns of firearm victimization (injury and mortality) over time. This study addressed the association between early involvement with firearms and firearm-firearm perpetration and victimization in adulthood. The original sample included 1,829 randomly selected youth, 1,172 males and 657 females, then 10 to 18 years old, enrolled in the study as they entered the Cook County Juvenile Temporary Detention Center from 1995 to 1998. Among the sample were 1,005 African Americans, 524 Hispanics, and 296 non-Hispanic white respondents. Participants were tracked from the time they left detention. Re-interviews were conducted regardless of where respondents were living when their follow-up interview was due: in the community, correctional settings, or by telephone if they lived farther than two hours from Chicago.

This dataset supports the manuscript Lawful Handgun Licensing, Population Density, Poverty, Police Staffing, and Violent Crime: A Two-Cohort Comparison of U.S. Jurisdictions (2023–2024). It contains processed violent crime counts, rates per 100,000, population denominators, poverty statistics, and police staffing levels for two cohorts of U.S. jurisdictions. Cohort A includes counties with high levels of licensed handgun ownership (Brevard FL, Macomb MI, Genesee MI, Sumner TN, Sullivan TN, Pierce WA). Cohort B includes restrictive licensing jurisdictions (New York City, Los Angeles, San Francisco, Washington DC, Boston). The package includes: County/city-level violent crime counts for homicide, rape, robbery, and aggravated assault (2023–2024). Population denominators (2024 Census estimates). Derived violent crime rates per 100,000. Poverty measures and law enforcement officer staffing rates. Python replication script to regenerate tables and figures used in the study. Accessed data sources: FBI Crime Data Explorer, Major Cities Chiefs Association, NYPD annual tables, FDLE FIBRS, Michigan MICR, Tennessee Bureau of Investigation, Washington Association of Sheriffs and Police Chiefs, and U.S. Census QuickFacts. Data pulled on August 27, 28, and 30, 2025.

This data includes counts of firearms by type seized by the Pittsburgh Bureau of Police. Each row describes a seizure incident involving one or more firearms. Firearm seizures can occur for several reasons. One of the Bureau of Police justifications for seizing a firearm involves a suspicion that a firearm was used in a criminal offense. Seizures may also occur to protect officer or public safety. For example, a weapon held by someone involved in a serious medical emergency, or an unattended weapon found in a public space may be seized and held for safekeeping. The Bureau’s firearms tracking unit conducts investigations to determine the rightful owner of firearms that have been seized. Where possible, the Bureau makes every effort to return firearms that have been seized to their rightful owners. Firearms seized by non-City of Pittsburgh law enforcement agencies within the City of Pittsburgh may not be included in this data. Federal, State, County, and other special law enforcement agencies (e.g. campus, transit, hospital, etc.) operate within the City limits. Data collected through supplemental reports filled out by Pittsburgh Bureau of Police officers upon taking possession of a firearm. Locations where the seizure occurred are anonymized to the address block or nearest intersection. It's not always possible to geocode these anonymized addresses. In cases where geocoding fails, the latitude and longitude fields are left empty. These will display as "None" in table views on the WPRDC site. Exact date and report numbers have been removed to protect the privacy of individuals and any active investigations.

Guns and ammo manufacturers are a staple in consumer and government markets, producing a wide range of small arms, ammunition, ordnance and various equipment. The industry is undergoing notable transformations due to advancements in technology and material science, driven most notably by the shift to 6.8mm ammunition. This shift revolutionizes infantry weapons, with enhanced range and accuracy, as seen in the US Army's Next Generation Squad Weapon program. Additionally, expansion in 155mm artillery shell production underscores modernization efforts, creating a massive upscaling effort. These factors have caused contract availability to skyrocket for innovative, high-scale producers with strong reputations in government markets. Overall, revenue has climbed at an expected CAGR of 1.6% to $23.5 billion through the current period, including a 1.6% jump in 2025, where profit reached 12.7%. Major geopolitical conflict has shaped spending trends through the current period, with the United States authorizing a mass of foreign military sales (FMS) to Ukraine, Israel and other allies in these regions. At the same time, NATO allies and the US have continued arms modernization and stockpiling, contributing to greater domestic contract availability and export revenue. Greater emphasis on modularity, lightweighting and precision will create major opportunities for leading innovators, like Sig Sauer, Winchester and others. However, balancing the dual demand from civilian and military markets remains key, as both markets influence resource allocation and production priorities. Manufacturers are expected to adopt agile strategies in navigating regulatory environments and aligning with national defense and civilian market dynamics. Growth will accelerate through the outlook period, driven by greater US and NATO spending. Specifically, higher NATO spending requirements will directly translate into greater export demand, even as European producers attempt to ramp up production. However, regulatory changes will shape market conditions, potentially adding to costs. Potential gun control laws, environmental requirements and smart gun requirements may each create unique challenges and niche market opportunities. Investments in modernization and supply chain diversification will be crucial to sustaining profit. Revenue will surge at an estimated CAGR of 7.1% through the outlook period, where profit will settle at 13.2% of total revenue.

The global semi-automatic rifle market is a dynamic sector experiencing robust growth, driven by increasing demand from hunting enthusiasts, shooting sports participants, and law enforcement agencies. The market's expansion is fueled by several key factors. Technological advancements leading to improved accuracy, lighter weight designs, and enhanced ergonomics are significantly impacting consumer preferences. Furthermore, rising disposable incomes in several key regions, particularly in North America and Asia-Pacific, are contributing to increased purchasing power and a subsequent surge in demand for semi-automatic rifles. The market is segmented by application (hunting, shooting sports, others) and type (light, standard, heavy rifles), each exhibiting unique growth trajectories. The hunting segment currently holds a dominant market share, however, the shooting sports segment shows promising growth potential, driven by the rising popularity of competitive shooting events and recreational target practice. Despite the significant growth, the market faces certain challenges. Stringent government regulations regarding firearm ownership and usage in several countries act as a significant restraint on market expansion. Concerns surrounding firearm safety and the potential for misuse also influence consumer behavior and purchasing decisions. Competitive pricing strategies from established manufacturers are another important aspect shaping market dynamics. The market landscape is characterized by the presence of both established global players and smaller niche manufacturers, creating a competitive environment. The forecast period, 2025-2033, suggests continued market expansion, influenced by innovations in rifle technology, evolving consumer preferences, and the fluctuating regulatory landscape. The continued growth will depend upon a careful balance between market expansion and responsible firearm ownership.

Crime and other matters of criminal justice were the main focus of inquiry for this Detroit Area Study. Respondents were asked to report on incidents of crime against themselves, relatives, and friends. They also were queried about their fears of being victimized by crime and about measures they had undertaken to protect themselves against crime. In addition, the survey elicited views on wide range of criminal justice issues such as the death penalty, the causes of crime and ways to reduce it, the salience of crime as a social problem, the legalization of marijuana use, handgun laws, the criminality of certain acts such as shooting a fleeing burglar, the construction of new prisons, the imposition of new taxes to improve law enforcement, the allocation of federal funds to police and other services, the activities of the police and courts including their fairness toward blacks, and whether or not convicting the innocent was better than letting the guilty go free. The survey also sought respondents' views on other social issues, such as prayer in public schools, labor unions, the Equal Rights amendment, defense spending, abortion, the quality of public schools, and affirmative action. Additional information gathered by the survey includes duration of residence in the tri-county area and at the current address, place of previous residence, moves planned for the future, television viewing habits, which newspapers were read, gun ownership, shopping habits, home and motor vehicle ownership, use of public transportation, travel to work, political and social class affiliation, satisfaction with neighborhoods and with the tri-county area, and information on age, sex, place of birth, marital status, education, employment, occupation, income, religion, race, ethnicity, and household composition.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Derrylin-&-District-Gun-Club.