Mass Shootings in America: A Geographic Approach

The following interactive map gives an overview of many of the mass shootings in the United States for the past few decades (1966 - present). The list of events is not exhaustive, but it still demonstrates the variety of regions and places where a shooting has taken place. The source data for this map can be found in our data page, which contains detailed information about each incident.

Mass shootings incident locations from 1966 to 2014. Credit: Stanford Geospatial Center

Heatmap of total number of victims

This heatmap highlights areas in the United States where there are particularly high amounts of victims, either fatal or non-fatal, that resulted from mass shooting incidents.

Heatmap of shooting victims. Credit: Stanford Geospatial Center.

Mass Shootings in America: Gun Law, Incidents and Mental Health Spending

This map gives information on gun legislation via the Scorecard for the Brady Campaign, details of individual shootings, statistics for gun violence at the state level, and mental health spending per capita per state. This map was created in order to highlight any correlation between certain variables and spatial patterns.

Click on the image to get the full story map experience.

Mass Shooting in America, ArcGIS Online

Comparison of gun legislation, mass shootings incidents, and mental health spending per state.
Credit: Stanford Geospatial Center

Mass Shootings Incidents Time Awareness

This interactive map displays a timeline of mass shooting events between the year 1966 to present. Each incident has information regarding the location, injuries and deaths, as well as details about the shooter(s).

The interactive map below is a reduced version of the original application. Click on the time slider below to activate the time lapse. For the complete user experience, please click on the image below to view the full screen version of this map (best viewed in Mozilla Firefox or Google Chrome).

Time lapse of mass shootings incidents scaled by fatalities. Credit: Stanford Geospatial Center.