Data contained in EveryStat comes from federal agencies like the Centers for Disease Control and Prevention (CDC), the Agency for Healthcare Research and Quality (AHRQ), and the Federal Bureau of Investigation (FBI).
For cost and nonfatal firearm injuries estimates, Everytown worked with external researchers Ted R. Miller and David Swedler at Pacific Institute for Research and Evaluation (PIRE) to provide state-level analyses. For police shootings, Everytown reports data from Mapping Police Violence because of under reporting in the CDC data.
Further details on the data sources and analysis used in EveryStat can be found in our methodology.
Absolutely. The data behind EveryStat is available for users to download as Excel files. Links to the datasets are provided on our methodology page.
The CDC does not currently publish fatal injury data at the city level. For a full explanation of data sources and their limitations, check out our methodology.
Each of the datasets used has a different timeline for updates, but most are released annually. For a full explanation of data sources and the most recent version available on EveryStat, check out our methodology.
Standardized, comprehensive data on firearm injuries and deaths are limited and often only published one to three years after the fact. Information on the data sources and the most recent available version are listed on our methodology page.
When data is available for five years, EveryStat presents a five-year average from the most recent years of data. Presenting these averages allows us to account for normal fluctuations that may occur between years and makes it easier to identify differences that are significant. For a full explanation of data sources and the years used, check out our methodology.
No, it’s not that simple. When policy changes overlap with changes in gun violence, we merely have evidence of correlation, not causation. It may be the case that some other changes (e.g., increased funding, innovative programming, changes in policing strategies, population changes, etc.) simultaneously occurred, and these could also play a role in driving increases or decreases in gun violence. Without scientific testing and statistical control for other variables, it is not accurate to claim that policy change alone was responsible for the changes in gun deaths. To compare the strength of state gun laws, track trends over time, and identify gaps in the gun laws in your state, check out the Gun Law Navigator. It is the largest historical database of modern U.S. gun laws, drawing on Everytown for Gun Safety’s survey of state gun laws back to 1991.
State fact sheets that include key EveryStat facts can be accessed by clicking State PDFs at the top of this page, or by clicking here.
Publicly available data and research on homicides involving firearms among LGBTQ people are limited due to lack of data on sexual orientation and gender identity included in death records. Data on firearm homicides involving transgender and gender nonconforming people is compiled in real-time by Everytown through the tracking of media reports. A comparable database on homicides among cisgender LGBTQ people does not yet exist.
For some states, statistics are provided to show how gun violence impacts the most urban and rural counties. These levels of urbanization come from the CDC’s 2013 National Center for Health Statistics (NCHS) Urban-Rural Classification Scheme. Counties are categorized into six distinct groups. More information on this classification scheme can be found here.
Everytown for Gun Safety Support Fund worked with the leading expert on the economic cost of gun violence, health economist and researcher Ted R. Miller and his team of researchers at the Pacific Institute for Research and Evaluation (PIRE). PIRE has a well-documented Injury Cost Model that drives the calculations on the CDC’s Web-based Injury Statistics Query and Reporting System (WISQARS) and is used to calculate the costs of injuries in the United States from a variety of different causes, including, but not limited to, firearms. Further details on the data sources and cost analysis can be found in our methodology.
Everytown for Gun Safety Support Fund worked with the researchers Ted R. Miller and David Swedler of the Pacific Institute for Research and Evaluation (PIRE) to analyze hospital discharge data from the Agency for Healthcare Research and Quality (AHRQ). The Healthcare Cost and Utilization Project datasets from AHRQ are large surveys of patients seen in the emergency department or admitted for treatment at hospitals across the United States, but do not include firearm injuries that were treated in a doctor’s office or an urgent care center. Further details on the data sources and state-level analysis of the nonfatal injuries can be found in our methodology.
Statistics on intimate partner homicides are based on data from the FBI’s Supplementary Homicide Reports. Data provided by the FBI is compiled from data submitted by law enforcement agencies. However, agencies are not required to submit their data to the FBI each year. Due to gaps in reporting, comparing rates of intimate partner homicide between states is not advised.
In some states, there is insufficient data on gun deaths that resulted from undetermined intents, unintentional intents, and shootings by law enforcement. In these states, these three intent categories have been combined and are displayed as “Other.”
In order to protect individual identities, the CDC and AHRQ do not report data when the number of deaths or nonfatal injuries is fewer than or equal to 10. In cases where data is suppressed at the subnational level for privacy (<10) or reliability reasons (rates if the count <20), it is still included in totals.
The US and state maps of congressional districts are from a cartogram that was designed to show each of the 435 congressional districts as approximately the same size. This helps represent their equal political power—one vote—in the House of Representatives despite their enormous variation in square mileage and shape. As a result, states with only one, at-large congressional district will appear small. Additionally, small geographic areas with large populations and multiple congressional districts, like New York City, may appear in a different part of the state so that they can still fit within the state outline. Further information on the “Congressional district hexmap, v2.1” by Daniel Donner for Daily Kos Elections is available at https://dkel.ec/map.