Political violence
Acts of violence in the US with a political motive, 1970 to 2025
- events
- 372
- people killed
- 104
- years
- 1970–2025
- latest event
- Sep 24, 2025
We code the motive behind every attack
The record covers acts of violence in the United States with a political motive since 1970: the Global Terrorism Database through 2020 and the Prosecution Project since. Filter it by year, place, target or motive, and every chart on the page redraws.
Showing 372 of 372 events
Filter the events
Over time
75 events from 2015 to 2024 against 7 in 2005–2014; the most in one year is 122, in 1970.
Each column counts the events recorded in one year: acts of violence in the United States, by US nationals, that the lab’s coders read for a political motivation; the colours split each column by the coders’ motivation category (section 2). A year with no column had no recorded event; it is a count of zero, not missing data.
How many events are recorded each year?
Events per year by motivation, 1970 to 2025: 372 in all
How many people were killed each year?
Deaths per year by motivation, perpetrators included: 104 in all
Show the data
| Year | Events | Events: Government policy | Events: A politician or party | Events: A government agency or process | Events: Motivation unclear | People killed | Note |
|---|---|---|---|---|---|---|---|
| 1970 | 122 | 119 | 3 | 0 | 0 | 12 | Global Terrorism Database |
| 1971 | 55 | 55 | 0 | 0 | 0 | 6 | Global Terrorism Database |
| 1972 | 11 | 11 | 0 | 0 | 0 | 1 | Global Terrorism Database |
| 1973 | 1 | 1 | 0 | 0 | 0 | 2 | Global Terrorism Database |
| 1974 | 4 | 0 | 0 | 0 | 4 | 3 | Global Terrorism Database |
| 1975 | 2 | 1 | 1 | 0 | 0 | 0 | Global Terrorism Database |
| 1976 | 2 | 2 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1977 | 2 | 2 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1978 | 4 | 3 | 0 | 0 | 1 | 0 | Global Terrorism Database |
| 1979 | 1 | 1 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1980 | 4 | 3 | 0 | 0 | 1 | 0 | Global Terrorism Database |
| 1981 | 5 | 4 | 0 | 0 | 1 | 2 | Global Terrorism Database |
| 1982 | 5 | 5 | 0 | 0 | 0 | 1 | Global Terrorism Database |
| 1983 | 3 | 2 | 1 | 0 | 0 | 1 | Global Terrorism Database |
| 1984 | 4 | 4 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1985 | 1 | 1 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1986 | 5 | 4 | 0 | 0 | 1 | 0 | Global Terrorism Database |
| 1987 | 2 | 2 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1988 | 3 | 3 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1989 | 3 | 3 | 0 | 0 | 0 | 1 | Global Terrorism Database |
| 1990 | 2 | 2 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1991 | 1 | 1 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1992 | 2 | 2 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1993 | — | — | — | — | — | — | No GTD records |
| 1994 | 9 | 9 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1995 | 9 | 9 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1996 | 2 | 2 | 0 | 0 | 0 | 1 | Global Terrorism Database |
| 1997 | 1 | 1 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1998 | 1 | 1 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 1999 | 1 | 1 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2000 | 7 | 7 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2001 | 2 | 2 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2002 | 2 | 2 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2003 | 2 | 2 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2004 | 0 | 0 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2005 | 0 | 0 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2006 | 0 | 0 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2007 | 0 | 0 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2008 | 1 | 0 | 1 | 0 | 0 | 0 | Global Terrorism Database |
| 2009 | 0 | 0 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2010 | 0 | 0 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2011 | 0 | 0 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2012 | 1 | 0 | 0 | 0 | 1 | 0 | Global Terrorism Database |
| 2013 | 0 | 0 | 0 | 0 | 0 | 0 | Global Terrorism Database |
| 2014 | 5 | 4 | 0 | 0 | 1 | 10 | Global Terrorism Database |
| 2015 | 2 | 1 | 1 | 0 | 0 | 3 | Global Terrorism Database |
| 2016 | 9 | 3 | 3 | 0 | 3 | 5 | Global Terrorism Database |
| 2017 | 5 | 0 | 2 | 0 | 3 | 3 | Global Terrorism Database |
| 2018 | 5 | 0 | 2 | 0 | 3 | 0 | Global Terrorism Database |
| 2019 | 7 | 3 | 0 | 0 | 4 | 19 | Global Terrorism Database |
| 2020 | 20 | 1 | 8 | 0 | 11 | 6 | Prosecution Project and added events |
| 2021 | 7 | 2 | 4 | 1 | 0 | 9 | Prosecution Project and added events |
| 2022 | 7 | 1 | 5 | 1 | 0 | 4 | Prosecution Project and added events |
| 2023 | 3 | 1 | 2 | 0 | 0 | 0 | Prosecution Project and added events |
| 2024 | 10 | 0 | 9 | 0 | 1 | 4 | Prosecution Project and added events |
| 2025 | 10 | 4 | 4 | 0 | 2 | 11 | To Sep 24, 2025 |
Reading the columns
The sources change in 2020: the Global Terrorism Database (GTD) covers 1970 to 2020 and the Prosecution Project 2020 on, with recent high-profile events added before they reach a court. The two collect events differently, so a change across 2020 may partly reflect the sources.
1993 is hatched: the GTD has no records for that year (its 1993 files were lost), so the gap is missing data, not a year without violence. 2025 is drawn faded because the record stops at its latest event, Sep 24, 2025; it is left out of every comparison.
Counts are by year: with 372 events over 56 years most months have none. Every date is in the event list (section 7).
Motivation
Government policy: 287 of 372 events (77%). Since 2015, the most common motivation is a politician or party: 40 of 85 events (47%), against 2.1% before 2015.
For each act of violence the coders answered one question: was it explicitly motivated by a politician, a party, a policy or an institution? The test is strict. Who the victim was, where it happened or what the attacker read online is not enough; an unclear or merely suggested motive goes to “Motivation unclear”.
What motivated the attacks?
Events by the lab’s motivation category, of 372
- Government policy287 77%Explicitly motivated by a government policy.
- A politician or party46 12%Explicitly motivated by a politician or a party.
- A government agency or process2 0.5%Explicitly motivated by a government democratic institution or process (recorded as “Institution”).
- Motivation unclear37 9.9%The motivation is unclear, partisan views are only suggested, or the violence may not be political.
Has the mix changed?
Share of each decade’s events in each category
Show the data
| Decade | Events | Government policy | A politician or party | A government agency or process | Motivation unclear |
|---|---|---|---|---|---|
| 1970–79 | 204 | 195 (96%) | 4 (2.0%) | 0 (0%) | 5 (2.5%) |
| 1980–89 | 35 | 31 (89%) | 1 (2.9%) | 0 (0%) | 3 (8.6%) |
| 1990–99 | 28 | 28 (100%) | 0 (0%) | 0 (0%) | 0 (0%) |
| 2000–09 | 14 | 13 (93%) | 1 (7.1%) | 0 (0%) | 0 (0%) |
| 2010–19 | 34 | 11 (32%) | 8 (24%) | 0 (0%) | 15 (44%) |
| 2020–25 | 57 | 9 (16%) | 32 (56%) | 2 (3.5%) | 14 (25%) |
Events with an unclear motivation
They stay in every count on this page, as on the main site, and are shown as their own category. The coders’ definition says the category may include violence that is not political, so read totals with them in mind; the filter at the top of the page can leave them out.
Targets and methods
Government (general) is the most frequent first-listed target, in 83 of 372 events (22%), followed by military (81). The most frequent attack type is facility or infrastructure attack (127, 34%).
Targets and attack types follow the Global Terrorism Database’s categories. An event can list several targets; it is counted once, under the first one listed, as on the main site.
Who or what was targeted?
Events by first-listed target, with the share of all events selected
- 1Government (general)83 22%
- 2Military81 22%
- 3Private citizens and property58 16%
- 4Business57 15%
- 5Police54 15%
Show the data
| Events | Share | |
|---|---|---|
| Government (general) | 83 | 22% |
| Military | 81 | 22% |
| Private citizens and property | 58 | 16% |
| Business | 57 | 15% |
| Police | 54 | 15% |
| Educational institution | 19 | 5.1% |
| Utilities | 6 | 1.6% |
| NGO | 3 | 0.8% |
| Religious figures or institutions | 3 | 0.8% |
| Airports and aircraft | 2 | 0.5% |
| Food or water supply | 2 | 0.5% |
| Journalists and media | 2 | 0.5% |
| Abortion related | 1 | 0.3% |
| Transportation | 1 | 0.3% |
How were the attacks carried out?
Events by attack type, with the share of all events selected
- 1Facility or infrastructure attack127 34%
- 2Bombing or explosion112 30%
- 3Armed assault69 19%
- 4Hostage taking (barricade incident)29 7.8%
- 5Assassination16 4.3%
Show the data
| Events | Share | |
|---|---|---|
| Facility or infrastructure attack | 127 | 34% |
| Bombing or explosion | 112 | 30% |
| Armed assault | 69 | 19% |
| Hostage taking (barricade incident) | 29 | 7.8% |
| Assassination | 16 | 4.3% |
| Unarmed assault | 13 | 3.5% |
| Hostage taking (kidnapping) | 4 | 1.1% |
| Hijacking | 2 | 0.5% |
Attack types
Facility or infrastructure attack: damage to a building, monument or other property, usually by arson or sabotage. Bombing or explosion: an attack whose main effect comes from an explosive. Armed assault: an attack on people with firearms, knives or other weapons (not explosives). Hostage taking (barricade incident): holding hostages in a fixed place to make demands. Assassination: an attack aimed at killing a specific, prominent person (the attempt counts whether or not the person died). Unarmed assault: an attack on people without firearms, blades or explosives (the GTD counts chemical attacks here). Hostage taking (kidnapping): seizing people and taking them elsewhere. Hijacking: taking control of a vehicle such as an aircraft.
Deaths
84% of events killed no one (311 of 372). 104 people died in the other 61, 25 of them perpetrators; the most in one event is 10 (Dayton, Aug 4, 2019).
Deaths count everyone killed in an event, perpetrators included, as the Global Terrorism Database counts them. Most events in the record are attacks on property, such as arson and bombings of buildings, in which no one died.
How many events killed anyone?
killed no one
311 of 372 events. 104 people died in the other 61.
Show the data
| Events | Share | |
|---|---|---|
| No one killed | 311 | 84% |
| 1 or 2 killed | 52 | 14% |
| 3 or more killed | 9 | 2.4% |
Which events killed the most people?
Events with at least one death, most first
- 1Dayton, Ohio · Aug 4, 201910
- 2Las Vegas, Nevada · Jun 8, 20145
- 3Jersey City, New Jersey · Dec 10, 20195
- 4Washington, District of Columbia · Jan 6, 20215
- 5Baton Rouge, Louisiana · Jul 17, 20164
Show the data
| Date | Place | Killed | Perpetrators killed | Attack type |
|---|---|---|---|---|
| Aug 4, 2019 | Dayton, Ohio | 10 | 1 | Armed assault |
| Jun 8, 2014 | Las Vegas, Nevada | 5 | 2 | Armed assault |
| Dec 10, 2019 | Jersey City, New Jersey | 5 | 2 | Armed assault |
| Jan 6, 2021 | Washington, District of Columbia | 5 | 4 | Armed assault |
| Jul 17, 2016 | Baton Rouge, Louisiana | 4 | 1 | Armed assault |
| Aug 6, 1974 | Los Angeles, California | 3 | 0 | Bombing or explosion |
| Jul 23, 2015 | Lafayette, Louisiana | 3 | 1 | Armed assault |
| Sep 30, 2021 | Ellicott City, Maryland | 3 | 0 | Armed assault |
| Sep 24, 2025 | Dallas, Texas | 3 | 1 | Armed assault |
| Mar 5, 1970 | San Juan, Puerto Rico | 2 | 0 | Assassination |
| Jul 17, 1970 | Chicago, Illinois | 2 | 0 | Armed assault |
| Apr 2, 1971 | Riverside, California | 2 | 0 | Armed assault |
| Feb 27, 1973 | Wounded Knee, South Dakota | 2 | 2 | Hostage taking (barricade incident) |
| Jun 1, 2014 | Seattle, Washington | 2 | 0 | Armed assault |
| May 16, 2017 | Three Forks, Montana | 2 | 1 | Armed assault |
| Dec 7, 2019 | Fayetteville, Arkansas | 2 | 1 | Armed assault |
| Jul 13, 2024 | Butler, Pennsylvania | 2 | 1 | Assassination |
| Feb 11, 2025 | Waukesha, Wisconsin | 2 | 0 | Armed assault |
| Jun 14, 2025 | Minneapolis, Minnesota | 2 | 0 | Assassination |
| Aug 8, 2025 | Atlanta, Georgia | 2 | 1 | Armed assault |
| Apr 24, 1970 | Baltimore, Maryland | 1 | 0 | Armed assault |
| May 9, 1970 | Sacramento, California | 1 | 0 | Armed assault |
| May 22, 1970 | St. Paul, Minnesota | 1 | 0 | Armed assault |
| Jun 19, 1970 | Chicago, Illinois | 1 | 0 | Armed assault |
| Jun 19, 1970 | San Francisco, California | 1 | 0 | Armed assault |
| Aug 6, 1970 | San Jose, California | 1 | 0 | Armed assault |
| Aug 20, 1970 | Berkeley, California | 1 | 0 | Armed assault |
| Sep 18, 1970 | Toledo, Ohio | 1 | 0 | Armed assault |
| Jan 24, 1971 | New York City, New York | 1 | 1 | Armed assault |
| Apr 29, 1971 | Berkeley, California | 1 | 0 | Assassination |
| May 6, 1971 | Hawthorne, Nevada | 1 | 0 | Bombing or explosion |
| Sep 18, 1971 | Plainfield, New Jersey | 1 | 0 | Armed assault |
| Oct 26, 1972 | Houston, Texas | 1 | 0 | Armed assault |
| Jun 2, 1981 | New York City, New York | 1 | 0 | Hostage taking (barricade incident) |
| Oct 6, 1981 | Langley Park, Maryland | 1 | 0 | Armed assault |
| Nov 16, 1982 | Carolina, Puerto Rico | 1 | 0 | Hostage taking (barricade incident) |
| Jul 15, 1983 | Rio Piedras, Puerto Rico | 1 | 0 | Hostage taking (barricade incident) |
| Dec 16, 1989 | Mountain Brook, Alabama | 1 | 0 | Bombing or explosion |
| Jul 27, 1996 | Atlanta, Georgia | 1 | 0 | Bombing or explosion |
| Apr 27, 2014 | Seattle, Washington | 1 | 0 | Armed assault |
| Jun 25, 2014 | West Orange, New Jersey | 1 | 0 | Armed assault |
| Nov 28, 2014 | Austin, Texas | 1 | 1 | Armed assault |
| Jul 7, 2016 | Bristol, Tennessee | 1 | 0 | Armed assault |
| Jun 14, 2017 | Alexandria, Virginia | 1 | 1 | Assassination |
| Mar 13, 2019 | New York City, New York | 1 | 0 | Assassination |
| Jun 17, 2019 | Dallas, Texas | 1 | 1 | Armed assault |
| Jan 20, 2020 | Orlando, Florida | 1 | 0 | Armed assault |
| Mar 27, 2020 | Ely, Nevada | 1 | 0 | Armed assault |
| May 29, 2020 | Oakland, California | 1 | 0 | Armed assault |
| Jun 6, 2020 | Ben Lomond, California | 1 | 0 | Armed assault |
| Jul 3, 2020 | Taycheedah, Wisconsin | 1 | 0 | Unarmed assault |
| Jul 23, 2020 | Milwaukee, Wisconsin | 1 | 0 | Assassination |
| Jan 27, 2021 | Elwell, Michigan | 1 | 0 | Armed assault |
| Feb 19, 2022 | Portland, Oregon | 1 | 0 | Armed assault |
| Aug 11, 2022 | Cincinnati, Ohio | 1 | 1 | Armed assault |
| Sep 10, 2022 | Las Vegas, Nevada | 1 | 0 | Armed assault |
| Oct 22, 2022 | Arcadia, Florida | 1 | 0 | Armed assault |
| Jan 31, 2024 | Middletown Township, Pennsylvania | 1 | 0 | Armed assault |
| Jul 23, 2024 | Hancock, Michigan | 1 | 1 | Armed assault |
| Jan 1, 2025 | Las Vegas, Nevada | 1 | 1 | Bombing or explosion |
| Sep 10, 2025 | Orem, Utah | 1 | 0 | Assassination |
Notes
“3 or more killed” is the main site’s “mass casualty” filter (more than two deaths). Of the 104 people killed in the events selected, 25 were perpetrators.
Places
California has the most events: 63 (17%). 43 of the 52 places mapped (the 50 states, DC and Puerto Rico) have at least one.
Where each event happened, by state. Each state is one equal tile, so small states stay readable; the ranked list carries the counts. Counts follow population in part: the most populous states have more people, places and events.
Where did the events happen?
Events by state or territory
Which states have the most?
Most events first, with the share of all events selected
- 1California63 17%
- 2New York37 9.9%
- 3Puerto Rico28 7.5%
- 4Illinois19 5.1%
- 5Florida16 4.3%
Show the data
| State or territory | Events | Share |
|---|---|---|
| California | 63 | 17% |
| New York | 37 | 9.9% |
| Puerto Rico | 28 | 7.5% |
| Illinois | 19 | 5.1% |
| Florida | 16 | 4.3% |
| Georgia | 12 | 3.2% |
| Arizona | 11 | 3.0% |
| Ohio | 11 | 3.0% |
| Texas | 11 | 3.0% |
| Wisconsin | 11 | 3.0% |
| Pennsylvania | 10 | 2.7% |
| Colorado | 9 | 2.4% |
| Iowa | 9 | 2.4% |
| Maryland | 9 | 2.4% |
| Massachusetts | 9 | 2.4% |
| Minnesota | 9 | 2.4% |
| Oregon | 9 | 2.4% |
| Washington | 9 | 2.4% |
| Missouri | 8 | 2.2% |
| Michigan | 7 | 1.9% |
| Nevada | 7 | 1.9% |
| North Carolina | 7 | 1.9% |
| District of Columbia | 6 | 1.6% |
| New Jersey | 6 | 1.6% |
| Louisiana | 4 | 1.1% |
| Connecticut | 3 | 0.8% |
| Idaho | 3 | 0.8% |
| Kentucky | 3 | 0.8% |
| New Mexico | 3 | 0.8% |
| South Carolina | 3 | 0.8% |
| Virginia | 3 | 0.8% |
| Alabama | 2 | 0.5% |
| Arkansas | 2 | 0.5% |
| Kansas | 2 | 0.5% |
| Tennessee | 2 | 0.5% |
| Utah | 2 | 0.5% |
| Hawaii | 1 | 0.3% |
| Indiana | 1 | 0.3% |
| Mississippi | 1 | 0.3% |
| Montana | 1 | 0.3% |
| Nebraska | 1 | 0.3% |
| Oklahoma | 1 | 0.3% |
| South Dakota | 1 | 0.3% |
Notes
Puerto Rico is mapped at the lower right (28 events). 3 events are serial incidents recorded as one row across several states; they are counted under the first state listed, as on the main site.
Which cities recur?
Cities with two or more events
- 1New York City, NY29
- 2Los Angeles, CA11
- 3Cairo, IL7
- 4Chicago, IL7
- 5Portland, OR7
Show the data
| City | Events |
|---|---|
| New York City, NY | 29 |
| Los Angeles, CA | 11 |
| Cairo, IL | 7 |
| Chicago, IL | 7 |
| Portland, OR | 7 |
| Phoenix, AZ | 6 |
| San Juan, PR | 6 |
| Washington, DC | 6 |
| Seattle, WA | 5 |
| Baltimore, MD | 4 |
| Denver, CO | 4 |
| Des Moines, IA | 4 |
| Houston, TX | 4 |
| Las Vegas, NV | 4 |
| Minneapolis, MN | 4 |
| Pomona, CA | 4 |
| San Francisco, CA | 4 |
| West Palm Beach, FL | 4 |
| Albuquerque, NM | 3 |
| Atlanta, GA | 3 |
| Berkeley, CA | 3 |
| Boston, MA | 3 |
| Colorado Springs, CO | 3 |
| Dallas, TX | 3 |
| Detroit, MI | 3 |
| Fresno, CA | 3 |
| Madison, WI | 3 |
| Oakland, CA | 3 |
| Rio Piedras, PR | 3 |
| San Diego, CA | 3 |
| San Jose, CA | 3 |
| St. Paul, MN | 3 |
| Tempe, AZ | 3 |
| Ames, IA | 2 |
| Caguas, PR | 2 |
| Carolina, PR | 2 |
| Claremont, CA | 2 |
| Jacksonville, FL | 2 |
| Laguna Niguel, CA | 2 |
| Louisville, KY | 2 |
| Orlando, FL | 2 |
| San Mateo, CA | 2 |
| St. Louis, MO | 2 |
| Tampa, FL | 2 |
| Whitefish Bay, WI | 2 |
Perpetrators
Sex is recorded for 165 of 372 events (44%), race for 179 (48%) and the number of perpetrators for 190 (51%). Where sex is recorded, the largest group is men (150 of 165).
What the record says about the people who carried out each event. Much of it is not recorded, especially for the older events from the Global Terrorism Database; “not recorded” is shown as its own grey bar, never folded into another group. Bars are on one scale: the share of all events selected.
Of what sex?
Events by the perpetrators’ sex
- Men150 40%
- Women4 1.1%
- Men and women together11 3.0%
- Not recorded207 56%
Show the data
| Events | Share | |
|---|---|---|
| Men | 150 | 40% |
| Women | 4 | 1.1% |
| Men and women together | 11 | 3.0% |
| Not recorded | 207 | 56% |
Of what race?
Events by the perpetrators’ race, as recorded
- White104 28%
- Hispanic34 9.1%
- Black30 8.1%
- Multiple4 1.1%
- Asian3 0.8%
Show the data
| Events | Share | |
|---|---|---|
| White | 104 | 28% |
| Hispanic | 34 | 9.1% |
| Black | 30 | 8.1% |
| Multiple | 4 | 1.1% |
| Asian | 3 | 0.8% |
| Other (not white) | 3 | 0.8% |
| Native American | 1 | 0.3% |
| Not recorded | 193 | 52% |
How many people?
Events by the number of perpetrators
- One103 28%
- 2 to 574 20%
- 6 to 109 2.4%
- 11 or more4 1.1%
- Not recorded182 49%
Show the data
| Events | Share | |
|---|---|---|
| One | 103 | 28% |
| 2 to 5 | 74 | 20% |
| 6 to 10 | 9 | 2.4% |
| 11 or more | 4 | 1.1% |
| Not recorded | 182 | 49% |
Notes
Sex and race describe the perpetrator or, for groups, the group (“men and women together” is the main site’s “multiple perpetrators”). The number of perpetrators is recorded as −99 when unknown, and in a few rows as 0; both read as not recorded. 1 event records a transgender perpetrator.
The events
372 events are in the record.
Five at a time, newest first; “Show all” pages through the rest. Each event opens to its full summary and every field recorded for it. The filters at the top of the page narrow the list and every figure above.
· Government policy
Dallas, Texas
Armed assault · target: police
3killed
Summary and details: Dallas, Texas, Sep 24, 2025
A gunman (Joshua Jahn) opened fire at the Dallas ICE facility, killing one detainee and wounding two others before dying by suicide. Investigators found “ANTI‑ICE” marked shell casing
- Motive
- To protest ICE
- Motivation (lab’s coding)
- Government policy
- Attack type
- Armed assault
- Targets
- Police
- People killed
- 3, 1 of them perpetrators
- Perpetrators
- 1
- Perpetrators’ sex
- Men
- Perpetrators’ race
- White
- Coordinates
- 32.8233, -96.8723
- Record
- 1580
· Motivation unclear
Orem, Utah
Assassination · target: journalists and media
1killed
Summary and details: Orem, Utah, Sep 10, 2025
On September 10, 2025, conservative activist Charlie Kirk was shot while speaking at an outdoor event at Utah Valley University in Orem, Utah. Investigators recovered the rifle used and messages from Tyler Robinson (the suspect) indicating he had planned the attack.
- Motive
- Didn't like Kirk
- Motivation (lab’s coding)
- Motivation unclear
- Attack type
- Assassination
- Targets
- Journalists and media
- People killed
- 1
- Perpetrators
- 1
- Perpetrators’ sex
- Men
- Perpetrators’ race
- White
- Coordinates
- 40.2789, -111.7152
- Record
- 1572
· Government policy
Atlanta, Georgia
Armed assault · target: police
2killed
Summary and details: Atlanta, Georgia, Aug 8, 2025
Patrick Joseph White drove to the CDC headquarters in Atlanta and opened fire, firing hundreds of rounds and killing an on‑duty police officer before taking his own life. Investigators found the shooter blamed COVID‑19 vaccines and had previously made threats and displayed signs of mental distress.
- Motive
- Unhappy with Covid-19 vaccines
- Motivation (lab’s coding)
- Government policy
- Attack type
- Armed assault
- Targets
- Police
- People killed
- 2, 1 of them perpetrators
- Perpetrators
- 1
- Perpetrators’ sex
- Men
- Perpetrators’ race
- White
- Coordinates
- 33.7994, -84.3282
- Record
- 1573
· Government policy
Fort Worth, Texas
Armed assault · target: police
0killed
Summary and details: Fort Worth, Texas, Jul 7, 2025
A coordinated ambush occurred outside the Prairieland Detention Center (an U.S. Immigration and Customs Enforcement‑contracted facility) in Alvarado, Texas, where a group dressed in black military‑style clothing used fireworks and graffiti to lure officers, and then opened fire — wounding an Alvarado police officer who was shot in the neck.
- Motive
- To protest ICE
- Motivation (lab’s coding)
- Government policy
- Attack type
- Armed assault
- Targets
- Police
- People killed
- 0
- Perpetrators
- 10
- Perpetrators’ sex
- Men and women together
- Perpetrators’ race
- White
- Coordinates
- 32.4214, -97.1960
- Record
- 1578
· A politician or party
Minneapolis, Minnesota
Assassination · target: government (general)
2killed
Summary and details: Minneapolis, Minnesota, Jun 14, 2025
Two Democratic Minnesota lawmakers and their spouses were shot in coordinated attacks at their homes, one pair killed and the other wounded. Officials say the suspect, Vance Boelter, used a fake police car and had a list of Democratic and abortion-rights figures, calling it targeted political violence.
- Motive
- Anti-Democrats
- Motivation (lab’s coding)
- A politician or party
- Attack type
- Assassination
- Targets
- Government (general)
- People killed
- 2
- Perpetrators
- 1
- Perpetrators’ sex
- Men
- Perpetrators’ race
- White
- Coordinates
- 45.0958, -93.3781
- Record
- 1571
Protest
The Crowd Counting Consortium recorded 274,477 in-person protests from Jan 2017 to May 2026. It coded 51% of them left wing, 9.8% right wing and 40% neither. The busiest month was Jun 2020, with 7,489.
A separate record from the events above, which the filters at the top of the page do not touch: every rally, march, vigil, demonstration and act of civil disobedience the Crowd Counting Consortium ↗ (opens in a new tab) found in news reports, social media and organizers’ own posts. CCC codes each protest’s claims as left wing, right wing or neither; that is about the claims, not a party.
How many protests are recorded each month?
In-person protests by CCC’s coding of their claims, Jan 2017 to May 2026
Show the data
| Date | Left wing | Right wing | Neither or other |
|---|---|---|---|
| May 2026 | 3,586 | 26 | 922 |
| Apr 2026 | 2,240 | 41 | 1,003 |
| Mar 2026 | 5,414 | 186 | 1,020 |
| Feb 2026 | 2,318 | 66 | 959 |
| Jan 2026 | 5,173 | 70 | 978 |
| Dec 2025 | 1,362 | 15 | 971 |
| Nov 2025 | 1,336 | 29 | 1,021 |
| Oct 2025 | 3,802 | 181 | 1,117 |
| Sep 2025 | 2,336 | 62 | 1,135 |
| Aug 2025 | 2,020 | 33 | 1,249 |
| Jul 2025 | 2,204 | 22 | 913 |
| Jun 2025 | 3,321 | 192 | 1,038 |
| May 2025 | 2,005 | 26 | 1,161 |
| Apr 2025 | 2,867 | 108 | 925 |
| Mar 2025 | 2,182 | 55 | 1,213 |
| Feb 2025 | 1,021 | 49 | 998 |
| Jan 2025 | 888 | 117 | 1,118 |
| Dec 2024 | 450 | 190 | 1,826 |
| Nov 2024 | 742 | 343 | 2,008 |
| Oct 2024 | 725 | 458 | 2,733 |
| Sep 2024 | 697 | 354 | 2,001 |
| Aug 2024 | 624 | 319 | 1,887 |
| Jul 2024 | 731 | 277 | 1,864 |
| Jun 2024 | 1,324 | 325 | 2,186 |
| May 2024 | 563 | 244 | 3,714 |
| Apr 2024 | 593 | 258 | 2,987 |
| Mar 2024 | 719 | 359 | 2,858 |
| Feb 2024 | 637 | 298 | 2,118 |
| Jan 2024 | 815 | 276 | 1,795 |
| Dec 2023 | 520 | 250 | 1,991 |
| Nov 2023 | 594 | 317 | 1,994 |
| Oct 2023 | 680 | 830 | 1,996 |
| Sep 2023 | 904 | 419 | 842 |
| Aug 2023 | 793 | 382 | 772 |
| Jul 2023 | 874 | 401 | 768 |
| Jun 2023 | 1,496 | 518 | 706 |
| May 2023 | 987 | 425 | 837 |
| Apr 2023 | 1,182 | 435 | 848 |
| Mar 2023 | 1,285 | 432 | 1,720 |
| Feb 2023 | 862 | 599 | 1,520 |
| Jan 2023 | 1,273 | 531 | 1,293 |
| Dec 2022 | 715 | 272 | 1,890 |
| Nov 2022 | 949 | 348 | 1,585 |
| Oct 2022 | 1,409 | 1,043 | 1,691 |
| Sep 2022 | 982 | 290 | 1,493 |
| Aug 2022 | 852 | 291 | 1,292 |
| Jul 2022 | 1,384 | 310 | 1,008 |
| Jun 2022 | 2,277 | 463 | 1,008 |
| May 2022 | 2,083 | 421 | 1,174 |
| Apr 2022 | 889 | 562 | 1,314 |
| Mar 2022 | 1,041 | 835 | 1,841 |
| Feb 2022 | 729 | 558 | 1,257 |
| Jan 2022 | 909 | 445 | 1,923 |
| Dec 2021 | 654 | 338 | 1,101 |
| Nov 2021 | 776 | 528 | 1,691 |
| Oct 2021 | 1,569 | 706 | 1,561 |
| Sep 2021 | 922 | 697 | 1,005 |
| Aug 2021 | 947 | 876 | 734 |
| Jul 2021 | 1,095 | 310 | 744 |
| Jun 2021 | 1,181 | 221 | 713 |
| May 2021 | 1,371 | 249 | 1,185 |
| Apr 2021 | 1,584 | 187 | 626 |
| Mar 2021 | 1,303 | 146 | 771 |
| Feb 2021 | 685 | 71 | 571 |
| Jan 2021 | 968 | 403 | 679 |
| Dec 2020 | 611 | 295 | 510 |
| Nov 2020 | 1,129 | 554 | 485 |
| Oct 2020 | 1,958 | 753 | 730 |
| Sep 2020 | 1,570 | 463 | 618 |
| Aug 2020 | 1,995 | 289 | 791 |
| Jul 2020 | 1,661 | 317 | 581 |
| Jun 2020 | 6,863 | 324 | 302 |
| May 2020 | 1,554 | 318 | 511 |
| Apr 2020 | 90 | 207 | 350 |
| Mar 2020 | 157 | 33 | 276 |
| Feb 2020 | 232 | 68 | 298 |
| Jan 2020 | 978 | 89 | 333 |
| Dec 2019 | 1,230 | 65 | 279 |
| Nov 2019 | 222 | 31 | 406 |
| Oct 2019 | 204 | 56 | 273 |
| Sep 2019 | 1,492 | 21 | 315 |
| Aug 2019 | 189 | 16 | 180 |
| Jul 2019 | 1,031 | 28 | 323 |
| Jun 2019 | 402 | 59 | 365 |
| May 2019 | 681 | 72 | 317 |
| Apr 2019 | 205 | 49 | 460 |
| Mar 2019 | 389 | 38 | 416 |
| Feb 2019 | 435 | 49 | 328 |
| Jan 2019 | 498 | 37 | 237 |
| Dec 2018 | 159 | 12 | 263 |
| Nov 2018 | 1,056 | 78 | 331 |
| Oct 2018 | 459 | 125 | 513 |
| Sep 2018 | 674 | 65 | 277 |
| Aug 2018 | 365 | 43 | 337 |
| Jul 2018 | 523 | 72 | 312 |
| Jun 2018 | 1,497 | 46 | 367 |
| May 2018 | 390 | 202 | 609 |
| Apr 2018 | 3,095 | 138 | 715 |
| Mar 2018 | 5,673 | 125 | 479 |
| Feb 2018 | 660 | 45 | 578 |
| Jan 2018 | 781 | 106 | 335 |
| Dec 2017 | 535 | 31 | 420 |
| Nov 2017 | 379 | 33 | 438 |
| Oct 2017 | 198 | 34 | 487 |
| Sep 2017 | 365 | 30 | 363 |
| Aug 2017 | 559 | 75 | 377 |
| Jul 2017 | 467 | 53 | 394 |
| Jun 2017 | 567 | 66 | 349 |
| May 2017 | 309 | 32 | 330 |
| Apr 2017 | 781 | 30 | 314 |
| Mar 2017 | 425 | 96 | 242 |
| Feb 2017 | 687 | 102 | 144 |
| Jan 2017 | 995 | 20 | 122 |
- 1Jan 2021 CCC’s second phase begins: an event lasting several days is recorded once for each day.
- 2Apr 2023 CCC stops recording labor strikes, though it still records rallies in support of strikers.
- 3Jan 2025 CCC’s third phase begins, with wider tracking of organizers on social media.
Reading the lines
Online-only events are left out, and so are the few events CCC could not place in a county. The numbered rules mark changes in how CCC records events, so a step across one may partly reflect the record. For 2017 to 2020 CCC coded protests against Trump as left wing and for him as right wing. The record depends on what reached the news and social media, and the latest months may still grow as CCC adds events it finds late.
Crowd size is reported for 37% of protests, and larger, better-covered events are likelier to have one, so the page does not sum turnout. The county file has CCC’s low and high estimates.
How many involve arrests, injuries or damage?
Protests a month with arrests reported
Arrests were reported at 1.6% of protests, injuries or deaths at 0.5% and property damage at 0.6%. The most protests with arrests in one month: 324, in Jun 2020.
Show the data
| Date | Arrests |
|---|---|
| May 2026 | 14 |
| Apr 2026 | 23 |
| Mar 2026 | 31 |
| Feb 2026 | 24 |
| Jan 2026 | 60 |
| Dec 2025 | 8 |
| Nov 2025 | 15 |
| Oct 2025 | 31 |
| Sep 2025 | 21 |
| Aug 2025 | 30 |
| Jul 2025 | 18 |
| Jun 2025 | 73 |
| May 2025 | 33 |
| Apr 2025 | 15 |
| Mar 2025 | 20 |
| Feb 2025 | 20 |
| Jan 2025 | 18 |
| Dec 2024 | 14 |
| Nov 2024 | 23 |
| Oct 2024 | 39 |
| Sep 2024 | 40 |
| Aug 2024 | 34 |
| Jul 2024 | 39 |
| Jun 2024 | 63 |
| May 2024 | 111 |
| Apr 2024 | 124 |
| Mar 2024 | 75 |
| Feb 2024 | 64 |
| Jan 2024 | 38 |
| Dec 2023 | 38 |
| Nov 2023 | 74 |
| Oct 2023 | 65 |
| Sep 2023 | 44 |
| Aug 2023 | 19 |
| Jul 2023 | 12 |
| Jun 2023 | 34 |
| May 2023 | 29 |
| Apr 2023 | 31 |
| Mar 2023 | 32 |
| Feb 2023 | 20 |
| Jan 2023 | 21 |
| Dec 2022 | 14 |
| Nov 2022 | 15 |
| Oct 2022 | 23 |
| Sep 2022 | 14 |
| Aug 2022 | 21 |
| Jul 2022 | 45 |
| Jun 2022 | 39 |
| May 2022 | 26 |
| Apr 2022 | 34 |
| Mar 2022 | 12 |
| Feb 2022 | 19 |
| Jan 2022 | 24 |
| Dec 2021 | 18 |
| Nov 2021 | 30 |
| Oct 2021 | 34 |
| Sep 2021 | 29 |
| Aug 2021 | 24 |
| Jul 2021 | 44 |
| Jun 2021 | 36 |
| May 2021 | 40 |
| Apr 2021 | 52 |
| Mar 2021 | 36 |
| Feb 2021 | 12 |
| Jan 2021 | 52 |
| Dec 2020 | 48 |
| Nov 2020 | 64 |
| Oct 2020 | 115 |
| Sep 2020 | 138 |
| Aug 2020 | 128 |
| Jul 2020 | 170 |
| Jun 2020 | 324 |
| May 2020 | 230 |
| Apr 2020 | 9 |
| Mar 2020 | 3 |
| Feb 2020 | 8 |
| Jan 2020 | 11 |
| Dec 2019 | 18 |
| Nov 2019 | 38 |
| Oct 2019 | 16 |
| Sep 2019 | 18 |
| Aug 2019 | 7 |
| Jul 2019 | 25 |
| Jun 2019 | 19 |
| May 2019 | 24 |
| Apr 2019 | 16 |
| Mar 2019 | 4 |
| Feb 2019 | 13 |
| Jan 2019 | 10 |
| Dec 2018 | 15 |
| Nov 2018 | 13 |
| Oct 2018 | 26 |
| Sep 2018 | 31 |
| Aug 2018 | 31 |
| Jul 2018 | 32 |
| Jun 2018 | 61 |
| May 2018 | 46 |
| Apr 2018 | 17 |
| Mar 2018 | 19 |
| Feb 2018 | 15 |
| Jan 2018 | 12 |
| Dec 2017 | 20 |
| Nov 2017 | 19 |
| Oct 2017 | 28 |
| Sep 2017 | 36 |
| Aug 2017 | 47 |
| Jul 2017 | 43 |
| Jun 2017 | 32 |
| May 2017 | 30 |
| Apr 2017 | 17 |
| Mar 2017 | 29 |
| Feb 2017 | 29 |
| Jan 2017 | 15 |
Do states with more support for unlawful acts see more protest?
Each square is a state: its protests per 100,000 residents, Jun 2025 to May 2026, against the survey’s estimate of support for protesting without a permit
States where more residents support protesting without a permit hold more protests per resident: a strong relation (rank correlation 0.61). Protests are counted from Jun 2025 to May 2026 in 50 states and DC; the survey estimates pool every survey since 2022. A comparison across states at one time shows no cause in either direction.
Show the data
| State | Protests | Per 100,000 residents | Support for protesting without a permit | 95% interval |
|---|---|---|---|---|
| DC | 1284 | 185 | 33% | 29% to 36% |
| VT | 896 | 139 | 33% | 30% to 37% |
| ME | 1172 | 83 | 31% | 28% to 33% |
| MA | 3136 | 44 | 32% | 30% to 34% |
| WI | 2144 | 36 | 30% | 28% to 31% |
| OR | 1295 | 30 | 35% | 34% to 37% |
| CT | 1107 | 30 | 30% | 28% to 32% |
| NH | 359 | 25 | 31% | 28% to 34% |
| WA | 2014 | 25 | 34% | 32% to 36% |
| IN | 1603 | 23 | 30% | 28% to 32% |
| AR | 677 | 22 | 30% | 27% to 32% |
| HI | 304 | 21 | 32% | 29% to 35% |
| NY | 4144 | 21 | 27% | 26% to 28% |
| MN | 1137 | 20 | 33% | 31% to 35% |
| CO | 1108 | 18 | 34% | 33% to 36% |
| CA | 7142 | 18 | 30% | 29% to 31% |
| AK | 130 | 18 | 31% | 28% to 34% |
| MT | 196 | 17 | 31% | 28% to 34% |
| ID | 339 | 17 | 30% | 28% to 33% |
| WY | 98 | 17 | 31% | 27% to 34% |
| MD | 916 | 15 | 28% | 26% to 29% |
| NM | 309 | 15 | 31% | 29% to 34% |
| RI | 161 | 14 | 31% | 28% to 35% |
| IA | 457 | 14 | 30% | 28% to 32% |
| NJ | 1268 | 13 | 28% | 27% to 30% |
| KS | 380 | 13 | 31% | 28% to 33% |
| AZ | 959 | 13 | 30% | 28% to 31% |
| NE | 253 | 13 | 32% | 29% to 34% |
| DE | 131 | 12 | 29% | 26% to 32% |
| WV | 213 | 12 | 27% | 25% to 30% |
| OH | 1305 | 11 | 28% | 27% to 30% |
| VA | 893 | 10 | 26% | 25% to 28% |
| IL | 1273 | 10 | 29% | 28% to 30% |
| PA | 1290 | 9.9 | 29% | 28% to 31% |
| MI | 990 | 9.8 | 31% | 30% to 32% |
| NC | 996 | 8.9 | 27% | 26% to 28% |
| MO | 537 | 8.6 | 31% | 29% to 33% |
| SD | 78 | 8.3 | 28% | 25% to 32% |
| ND | 66 | 8.3 | 31% | 28% to 34% |
| FL | 1903 | 8.1 | 27% | 27% to 28% |
| OK | 246 | 6.0 | 28% | 26% to 30% |
| UT | 209 | 5.9 | 28% | 27% to 31% |
| TN | 418 | 5.7 | 29% | 27% to 30% |
| KY | 230 | 5.0 | 29% | 28% to 31% |
| GA | 557 | 4.9 | 26% | 25% to 27% |
| SC | 223 | 4.0 | 28% | 26% to 30% |
| TX | 1261 | 4.0 | 28% | 27% to 29% |
| LA | 172 | 3.7 | 28% | 26% to 31% |
| NV | 120 | 3.7 | 32% | 30% to 34% |
| AL | 171 | 3.3 | 26% | 24% to 28% |
| MS | 69 | 2.3 | 26% | 23% to 28% |
What this comparison shows, and what it doesn’t
The survey estimates come from the lab’s multilevel model of every US survey since 2022 (MRP), so each is one figure for the whole period, not a monthly reading; the comparison is across states at one time, never over time. The protest rate counts protests of every kind, held in the state, whoever held them.
The highest rates are in District of Columbia (185 per 100,000), Vermont (139) and Maine (83). CCC records each repeat of a weekly or daily vigil as its own event, so places with long-running vigils have high rates; the rate axis is on a log scale so the highest do not flatten the rest. The rank correlation compares the states’ order on the two measures and is not moved by the extremes. Rates use the Census Bureau’s 2025 population estimates.
Source: Crowd Counting Consortium (Harvard Kennedy School’s Nonviolent Action Lab and the University of Connecticut), U.S. Protest Event Data, Harvard Dataverse, CC0 1.0 (phase 1 v1.1, phase 2 v2.1, phase 3 v18.0). Counts by county and month are in the downloads under Methods and sources.
Hate crimes
Law enforcement agencies reported 10,881 hate crime incidents to the FBI in 2025, 3.2 per 100,000 residents. Agencies covering 95% of residents took part; 3,067 of the 16,791 that did reported any incident. In 2021 agencies covering only 65% of residents took part, so counts move with reporting as well as with crime.
Context from a separate record, which the filters at the top of the page do not touch: crimes that law enforcement agencies judged to be motivated in whole or in part by bias against a race, religion, sexual orientation, gender identity, disability or gender, as they reported them to the FBI. Most are not political violence in this page’s sense, and the count depends on how many agencies report.
How many hate crimes are reported each year?
Incidents reported to the FBI, 1991 to 2025
Show the data
| Year | Incidents | Per 100,000 residents | Race, ethnicity or ancestry | Religion | Sexual orientation | Gender identity | Disability | Gender | Share of residents covered |
|---|---|---|---|---|---|---|---|---|---|
| 2025 | 10881 | 3.2 | 6163 | 2549 | 1649 | 523 | 160 | 124 | 95% |
| 2024 | 11932 | 3.5 | 6270 | 3001 | 2134 | 523 | 177 | 132 | 95% |
| 2023 | 12161 | 3.6 | 6377 | 2955 | 2320 | 543 | 210 | 131 | 95% |
| 2022 | 11918 | 3.6 | 6962 | 2261 | 2164 | 518 | 185 | 129 | 91% |
| 2021 | 11069 | 3.3 | 7013 | 1742 | 1867 | 387 | 174 | 127 | 65% |
| 2020 | 9965 | 3.0 | 6638 | 1685 | 1391 | 310 | 161 | 106 | 92% |
| 2019 | 7888 | 2.4 | 4529 | 1826 | 1329 | 217 | 156 | 92 | 93% |
| 2018 | 7181 | 2.2 | 4124 | 1473 | 1243 | 170 | 166 | 64 | 94% |
| 2017 | 7332 | 2.3 | 4232 | 1629 | 1164 | 132 | 156 | 79 | 94% |
| 2016 | 6270 | 1.9 | 3598 | 1321 | 1132 | 127 | 102 | 30 | 90% |
| 2015 | 5843 | 1.8 | 3326 | 1249 | 1058 | 114 | 76 | 24 | 89% |
| 2014 | 5597 | 1.8 | 3293 | 1036 | 1047 | 101 | 96 | 33 | 94% |
| 2013 | 6044 | 1.9 | 3585 | 1050 | 1269 | 31 | 94 | 20 | 93% |
| 2012 | 6592 | 2.1 | 3858 | 1319 | 1301 | 4 | 110 | 2 | 79% |
| 2011 | 6299 | 2.0 | 3690 | 1237 | 1311 | 0 | 64 | 0 | 92% |
| 2010 | 6628 | 2.1 | 3986 | 1323 | 1278 | 0 | 43 | 0 | 92% |
| 2009 | 6612 | 2.2 | 3993 | 1298 | 1228 | 0 | 94 | 0 | 91% |
| 2008 | 8039 | 2.6 | 5057 | 1552 | 1337 | 0 | 93 | 0 | 89% |
| 2007 | 7623 | 2.5 | 4892 | 1397 | 1276 | 0 | 59 | 0 | Not in the file |
| 2006 | 7715 | 2.6 | 4973 | 1461 | 1198 | 0 | 83 | 0 | Not in the file |
| 2005 | 7411 | 2.5 | 4939 | 1341 | 1077 | 0 | 56 | 0 | Not in the file |
| 2004 | 7684 | 2.6 | 5056 | 1384 | 1191 | 0 | 55 | 0 | Not in the file |
| 2003 | 7539 | 2.6 | 4901 | 1343 | 1250 | 0 | 46 | 0 | Not in the file |
| 2002 | 7485 | 2.6 | 4764 | 1425 | 1247 | 0 | 49 | 0 | Not in the file |
| 2001 | 9730 | 3.4 | 6430 | 1861 | 1404 | 0 | 37 | 0 | Not in the file |
| 2000 | 8217 | 2.9 | 5355 | 1493 | 1333 | 0 | 38 | 0 | Not in the file |
| 1999 | 7940 | 2.9 | 5182 | 1419 | 1325 | 0 | 17 | 0 | Not in the file |
| 1998 | 7889 | 2.9 | 5175 | 1397 | 1293 | 0 | 26 | 0 | Not in the file |
| 1997 | 8105 | 3.0 | 5593 | 1390 | 1112 | 0 | 13 | 0 | Not in the file |
| 1996 | 8789 | 3.3 | 6344 | 1428 | 1019 | 0 | 0 | 0 | Not in the file |
| 1995 | 7949 | 3.0 | 5654 | 1276 | 1020 | 0 | 0 | 0 | Not in the file |
| 1994 | 5953 | 2.3 | 4199 | 1068 | 686 | 0 | 0 | 0 | Not in the file |
| 1993 | 7604 | 2.9 | 5447 | 1297 | 861 | 0 | 0 | 0 | Not in the file |
| 1992 | 6662 | 2.6 | 4726 | 1165 | 771 | 0 | 0 | 0 | Not in the file |
| 1991 | 4589 | 1.8 | 3270 | 915 | 410 | 0 | 0 | 0 | Not in the file |
How much of the country is reporting?
Share of residents whose agencies took part, 2008 to 2025
Show the data
| Date | Covered |
|---|---|
| 2025 | 95% |
| 2024 | 95% |
| 2023 | 95% |
| 2022 | 91% |
| 2021 | 65% |
| 2020 | 92% |
| 2019 | 93% |
| 2018 | 94% |
| 2017 | 94% |
| 2016 | 90% |
| 2015 | 89% |
| 2014 | 94% |
| 2013 | 93% |
| 2012 | 79% |
| 2011 | 92% |
| 2010 | 92% |
| 2009 | 91% |
| 2008 | 89% |
Reading the counts
The FBI counts an incident once, and an incident with several motivations in each of their categories. In 2025: race, ethnicity or ancestry 6,163; religion 2,549; sexual orientation 1,649; gender identity 523; disability 160; gender 124. Disability has been collected since 1997, and gender and gender identity since 2013, when the FBI also widened its religious and racial categories.
Reporting is voluntary and the FBI estimates nothing for agencies that do not take part. From 2021 it took data only through its incident-based system (NIBRS), and many agencies had not yet switched. The coverage figures come from each year’s published report (2008 on); the incident file also holds reports agencies sent later, so for some years, 2021 most of all, it counts more incidents than the report did.
Source: FBI Uniform Crime Reporting Program, Hate Crime Statistics, from the Crime Data Explorer ↗ (opens in a new tab) (incident file of 2026-07-23), a public-domain work of the U.S. government; population from the Census Bureau.
Threats against officials
DOJ announced 88 prosecutions for threatening officials in 2025 against 78 in 2024 The President and federal officials: 42 (48%).
Federal prosecutions for threatening to kill, injure or attack an elected or appointed official, a judge or a prosecutor (members of Congress, judges, election workers, local officials), or their family, staff or office, counted from the Justice Department’s press releases. They are the prosecutions DOJ chose to announce, not every threat, and a case’s stage may be out of date. Threats aimed only at police, corrections officers or federal agents are left out. It is a separate record from the events above, which leave out verbal and written threats, and the filters at the top of the page do not apply to it.
How many threat prosecutions does DOJ announce each month?
Cases by the month of DOJ’s first release about them, Jan 2013 to Nov 2026: 810 in all
Show the data
| Year | Cases | Members of Congress | The President and federal officials | Federal judges | Prosecutors | Election officials | State and local officials | Note |
|---|---|---|---|---|---|---|---|---|
| 2013 | 53 | 3 | 24 | 12 | 5 | 0 | 9 | |
| 2014 | 39 | 5 | 23 | 4 | 1 | 0 | 6 | |
| 2015 | 28 | 0 | 14 | 4 | 2 | 0 | 8 | |
| 2016 | 36 | 3 | 19 | 5 | 2 | 0 | 7 | |
| 2017 | 38 | 7 | 17 | 4 | 3 | 0 | 7 | |
| 2018 | 48 | 12 | 21 | 7 | 3 | 0 | 5 | |
| 2019 | 54 | 11 | 18 | 6 | 6 | 0 | 13 | |
| 2020 | 59 | 14 | 22 | 7 | 3 | 1 | 12 | |
| 2021 | 60 | 22 | 18 | 6 | 4 | 0 | 10 | |
| 2022 | 56 | 10 | 15 | 11 | 1 | 7 | 12 | |
| 2023 | 64 | 15 | 14 | 11 | 1 | 4 | 19 | |
| 2024 | 78 | 12 | 25 | 13 | 7 | 5 | 16 | |
| 2025 | 88 | 16 | 42 | 10 | 4 | 1 | 15 | |
| 2026 | 109 | 17 | 58 | 12 | 7 | 0 | 15 | Year to date |
What this counts
These are the prosecutions DOJ chose to announce, not every threat. Most threats are never charged, many charged cases get no press release, and state prosecutions are not here at all. A case is counted in the month of DOJ’s first release about it; its stage is as of DOJ’s latest release and may be out of date, since an acquittal or dismissal DOJ never announced does not appear.
Releases come from justice.gov’s press-release archive, read every night. The archive holds the U.S. Attorneys’ offices’ releases from Jan 2013; before that it has only the Department’s national offices, so the figures start there (2 earlier cases are in the file). Every release that mentions a threat or a threat statute is read by a language model, which decides whether it announces a prosecution for threatening a public official and records the target, the defendants and the stage; the lab checked its answers by hand on a sample (Methods and sources). Releases about the same defendant, office and charges are grouped into one case.
The series covers elected and appointed officials, judges and prosecutors. Cases in which the only people threatened were police officers, sheriffs’ deputies, corrections officers, federal agents or members of the armed forces are left out of every count and of the file (290 such cases); a case that threatened an official as well as the police is counted.
339 of 812 cases name the official threatened; the others withhold the name (“a Member of Congress”), so the series rests on the office, not the person.
Who was threatened?
Cases per month by the office of the official threatened, all on one scale
Members of Congress147 18%
The President and federal officials330 41%
Federal judges112 14%
Prosecutors49 6.0%
Election officials18 2.2%
State and local officials154 19%
Show the data
| Month | Cases | Members of Congress | The President and federal officials | Federal judges | Prosecutors | Election officials | State and local officials |
|---|---|---|---|---|---|---|---|
| Nov 2026 | 6 | 1 | 5 | 0 | 0 | 0 | 0 |
| Oct 2026 | 15 | 3 | 6 | 4 | 0 | 0 | 2 |
| Sep 2026 | 8 | 1 | 2 | 1 | 2 | 0 | 2 |
| Aug 2026 | 8 | 1 | 4 | 0 | 2 | 0 | 1 |
| Jul 2026 | 8 | 2 | 5 | 0 | 1 | 0 | 0 |
| Jun 2026 | 13 | 2 | 8 | 0 | 0 | 0 | 3 |
| May 2026 | 9 | 0 | 7 | 2 | 0 | 0 | 0 |
| Apr 2026 | 9 | 0 | 6 | 3 | 0 | 0 | 0 |
| Mar 2026 | 13 | 1 | 9 | 1 | 0 | 0 | 2 |
| Feb 2026 | 12 | 2 | 4 | 1 | 1 | 0 | 4 |
| Jan 2026 | 8 | 4 | 2 | 0 | 1 | 0 | 1 |
| Dec 2025 | 6 | 1 | 3 | 0 | 0 | 1 | 1 |
| Nov 2025 | 11 | 3 | 6 | 0 | 0 | 0 | 2 |
| Oct 2025 | 3 | 1 | 1 | 1 | 0 | 0 | 0 |
| Sep 2025 | 9 | 3 | 2 | 2 | 0 | 0 | 2 |
| Aug 2025 | 10 | 2 | 5 | 1 | 1 | 0 | 1 |
| Jul 2025 | 10 | 3 | 6 | 0 | 0 | 0 | 1 |
| Jun 2025 | 9 | 1 | 3 | 2 | 1 | 0 | 2 |
| May 2025 | 9 | 0 | 3 | 0 | 1 | 0 | 5 |
| Apr 2025 | 10 | 1 | 7 | 1 | 1 | 0 | 0 |
| Mar 2025 | 4 | 1 | 2 | 1 | 0 | 0 | 0 |
| Feb 2025 | 6 | 0 | 3 | 2 | 0 | 0 | 1 |
| Jan 2025 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
| Dec 2024 | 6 | 0 | 1 | 0 | 2 | 0 | 3 |
| Nov 2024 | 6 | 1 | 0 | 1 | 0 | 2 | 2 |
| Oct 2024 | 2 | 0 | 1 | 0 | 0 | 0 | 1 |
| Sep 2024 | 10 | 2 | 3 | 1 | 2 | 0 | 2 |
| Aug 2024 | 9 | 0 | 3 | 3 | 1 | 1 | 1 |
| Jul 2024 | 7 | 1 | 4 | 2 | 0 | 0 | 0 |
| Jun 2024 | 7 | 1 | 2 | 2 | 1 | 0 | 1 |
| May 2024 | 15 | 2 | 6 | 2 | 1 | 0 | 4 |
| Apr 2024 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
| Mar 2024 | 7 | 2 | 2 | 1 | 0 | 0 | 2 |
| Feb 2024 | 5 | 1 | 1 | 1 | 0 | 2 | 0 |
| Jan 2024 | 3 | 2 | 1 | 0 | 0 | 0 | 0 |
| Dec 2023 | 4 | 0 | 2 | 1 | 0 | 0 | 1 |
| Nov 2023 | 9 | 3 | 2 | 3 | 0 | 0 | 1 |
| Oct 2023 | 7 | 2 | 1 | 1 | 1 | 0 | 2 |
| Sep 2023 | 3 | 2 | 0 | 0 | 0 | 0 | 1 |
| Aug 2023 | 7 | 0 | 0 | 0 | 0 | 3 | 4 |
| Jul 2023 | 4 | 0 | 0 | 3 | 0 | 0 | 1 |
| Jun 2023 | 4 | 1 | 0 | 2 | 0 | 0 | 1 |
| May 2023 | 6 | 2 | 2 | 0 | 0 | 1 | 1 |
| Apr 2023 | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
| Mar 2023 | 3 | 0 | 1 | 0 | 0 | 0 | 2 |
| Feb 2023 | 7 | 2 | 3 | 1 | 0 | 0 | 1 |
| Jan 2023 | 8 | 1 | 3 | 0 | 0 | 0 | 4 |
| Dec 2022 | 8 | 1 | 2 | 4 | 0 | 1 | 0 |
| Nov 2022 | 2 | 0 | 1 | 0 | 0 | 0 | 1 |
| Oct 2022 | 8 | 2 | 3 | 0 | 0 | 1 | 2 |
| Sep 2022 | 4 | 2 | 0 | 1 | 0 | 0 | 1 |
| Aug 2022 | 2 | 0 | 1 | 0 | 0 | 1 | 0 |
| Jul 2022 | 3 | 0 | 0 | 2 | 0 | 1 | 0 |
| Jun 2022 | 5 | 2 | 1 | 1 | 0 | 1 | 0 |
| May 2022 | 9 | 1 | 1 | 2 | 0 | 0 | 5 |
| Apr 2022 | 4 | 2 | 1 | 0 | 1 | 0 | 0 |
| Mar 2022 | 3 | 0 | 2 | 0 | 0 | 0 | 1 |
| Feb 2022 | 5 | 0 | 2 | 1 | 0 | 0 | 2 |
| Jan 2022 | 3 | 0 | 1 | 0 | 0 | 2 | 0 |
| Dec 2021 | 2 | 1 | 0 | 1 | 0 | 0 | 0 |
| Nov 2021 | 9 | 2 | 4 | 2 | 0 | 0 | 1 |
| Oct 2021 | 5 | 2 | 2 | 0 | 0 | 0 | 1 |
| Sep 2021 | 4 | 2 | 1 | 0 | 1 | 0 | 0 |
| Aug 2021 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| Jul 2021 | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
| Jun 2021 | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| May 2021 | 5 | 1 | 0 | 0 | 0 | 0 | 4 |
| Apr 2021 | 3 | 0 | 0 | 1 | 0 | 0 | 2 |
| Mar 2021 | 8 | 2 | 2 | 1 | 2 | 0 | 1 |
| Feb 2021 | 7 | 3 | 2 | 0 | 1 | 0 | 1 |
| Jan 2021 | 12 | 7 | 4 | 1 | 0 | 0 | 0 |
| Dec 2020 | 7 | 3 | 2 | 1 | 0 | 1 | 0 |
| Nov 2020 | 2 | 0 | 1 | 0 | 1 | 0 | 0 |
| Oct 2020 | 4 | 1 | 1 | 1 | 0 | 0 | 1 |
| Sep 2020 | 4 | 2 | 2 | 0 | 0 | 0 | 0 |
| Aug 2020 | 6 | 0 | 2 | 1 | 0 | 0 | 3 |
| Jul 2020 | 8 | 1 | 4 | 1 | 1 | 0 | 1 |
| Jun 2020 | 11 | 3 | 3 | 2 | 1 | 0 | 2 |
| May 2020 | 2 | 0 | 0 | 0 | 0 | 0 | 2 |
| Apr 2020 | 3 | 0 | 2 | 0 | 0 | 0 | 1 |
| Mar 2020 | 6 | 3 | 0 | 1 | 0 | 0 | 2 |
| Feb 2020 | 4 | 1 | 3 | 0 | 0 | 0 | 0 |
| Jan 2020 | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| Dec 2019 | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
| Nov 2019 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oct 2019 | 2 | 0 | 1 | 0 | 0 | 0 | 1 |
| Sep 2019 | 4 | 0 | 1 | 0 | 2 | 0 | 1 |
| Aug 2019 | 8 | 2 | 2 | 2 | 1 | 0 | 1 |
| Jul 2019 | 5 | 1 | 0 | 1 | 1 | 0 | 2 |
| Jun 2019 | 4 | 0 | 2 | 0 | 1 | 0 | 1 |
| May 2019 | 6 | 2 | 3 | 0 | 0 | 0 | 1 |
| Apr 2019 | 7 | 3 | 2 | 1 | 1 | 0 | 0 |
| Mar 2019 | 5 | 0 | 2 | 0 | 0 | 0 | 3 |
| Feb 2019 | 6 | 1 | 3 | 1 | 0 | 0 | 1 |
| Jan 2019 | 5 | 0 | 2 | 1 | 0 | 0 | 2 |
| Dec 2018 | 4 | 0 | 2 | 1 | 0 | 0 | 1 |
| Nov 2018 | 4 | 1 | 3 | 0 | 0 | 0 | 0 |
| Oct 2018 | 5 | 1 | 3 | 0 | 0 | 0 | 1 |
| Sep 2018 | 5 | 2 | 1 | 1 | 0 | 0 | 1 |
| Aug 2018 | 4 | 1 | 2 | 0 | 0 | 0 | 1 |
| Jul 2018 | 4 | 1 | 1 | 1 | 0 | 0 | 1 |
| Jun 2018 | 3 | 0 | 2 | 0 | 1 | 0 | 0 |
| May 2018 | 4 | 1 | 2 | 0 | 1 | 0 | 0 |
| Apr 2018 | 5 | 3 | 1 | 1 | 0 | 0 | 0 |
| Mar 2018 | 4 | 1 | 1 | 2 | 0 | 0 | 0 |
| Feb 2018 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| Jan 2018 | 5 | 0 | 3 | 1 | 1 | 0 | 0 |
| Dec 2017 | 3 | 1 | 1 | 0 | 1 | 0 | 0 |
| Nov 2017 | 4 | 3 | 1 | 0 | 0 | 0 | 0 |
| Oct 2017 | 5 | 0 | 4 | 0 | 1 | 0 | 0 |
| Sep 2017 | 3 | 1 | 1 | 0 | 0 | 0 | 1 |
| Aug 2017 | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| Jul 2017 | 7 | 2 | 1 | 2 | 0 | 0 | 2 |
| Jun 2017 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| May 2017 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| Apr 2017 | 2 | 0 | 1 | 0 | 0 | 0 | 1 |
| Mar 2017 | 2 | 0 | 1 | 0 | 0 | 0 | 1 |
| Feb 2017 | 5 | 0 | 2 | 2 | 0 | 0 | 1 |
| Jan 2017 | 4 | 0 | 3 | 0 | 1 | 0 | 0 |
| Dec 2016 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| Nov 2016 | 5 | 0 | 5 | 0 | 0 | 0 | 0 |
| Oct 2016 | 2 | 0 | 0 | 1 | 0 | 0 | 1 |
| Sep 2016 | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
| Aug 2016 | 3 | 0 | 1 | 1 | 1 | 0 | 0 |
| Jul 2016 | 2 | 1 | 1 | 0 | 0 | 0 | 0 |
| Jun 2016 | 5 | 1 | 1 | 1 | 1 | 0 | 1 |
| May 2016 | 3 | 0 | 2 | 0 | 0 | 0 | 1 |
| Apr 2016 | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| Mar 2016 | 7 | 0 | 3 | 1 | 0 | 0 | 3 |
| Feb 2016 | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| Jan 2016 | 2 | 0 | 1 | 1 | 0 | 0 | 0 |
| Dec 2015 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
| Nov 2015 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Oct 2015 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
| Sep 2015 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
| Aug 2015 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
| Jul 2015 | 4 | 0 | 1 | 0 | 0 | 0 | 3 |
| Jun 2015 | 4 | 0 | 2 | 0 | 0 | 0 | 2 |
| May 2015 | 4 | 0 | 1 | 0 | 2 | 0 | 1 |
| Apr 2015 | 3 | 0 | 1 | 1 | 0 | 0 | 1 |
| Mar 2015 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
| Feb 2015 | 5 | 0 | 3 | 2 | 0 | 0 | 0 |
| Jan 2015 | 3 | 0 | 2 | 1 | 0 | 0 | 0 |
| Dec 2014 | 3 | 1 | 0 | 1 | 0 | 0 | 1 |
| Nov 2014 | 3 | 0 | 2 | 1 | 0 | 0 | 0 |
| Oct 2014 | 2 | 0 | 0 | 1 | 1 | 0 | 0 |
| Sep 2014 | 2 | 0 | 0 | 0 | 0 | 0 | 2 |
| Aug 2014 | 4 | 1 | 3 | 0 | 0 | 0 | 0 |
| Jul 2014 | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| Jun 2014 | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| May 2014 | 5 | 1 | 3 | 0 | 0 | 0 | 1 |
| Apr 2014 | 2 | 0 | 1 | 0 | 0 | 0 | 1 |
| Mar 2014 | 7 | 2 | 4 | 0 | 0 | 0 | 1 |
| Feb 2014 | 5 | 0 | 4 | 1 | 0 | 0 | 0 |
| Jan 2014 | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| Dec 2013 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
| Nov 2013 | 3 | 0 | 1 | 1 | 0 | 0 | 1 |
| Oct 2013 | 2 | 0 | 1 | 0 | 0 | 0 | 1 |
| Sep 2013 | 2 | 0 | 2 | 0 | 0 | 0 | 0 |
| Aug 2013 | 3 | 0 | 0 | 2 | 0 | 0 | 1 |
| Jul 2013 | 2 | 0 | 1 | 0 | 0 | 0 | 1 |
| Jun 2013 | 6 | 0 | 4 | 1 | 1 | 0 | 0 |
| May 2013 | 8 | 0 | 5 | 1 | 1 | 0 | 1 |
| Apr 2013 | 4 | 0 | 2 | 1 | 1 | 0 | 0 |
| Mar 2013 | 7 | 0 | 2 | 2 | 0 | 0 | 3 |
| Feb 2013 | 9 | 1 | 5 | 3 | 0 | 0 | 0 |
| Jan 2013 | 6 | 2 | 1 | 0 | 2 | 0 | 1 |
Which offices?
Every case in the file by the office of the official threatened, of 812
- 1The President, Vice President and Cabinet190 23%
- 2Members of Congress147 18%
- 3Other federal officials and employees141 17%
- 4Federal judges and courts112 14%
- 5Other officials (state judges, state agencies)82 10%
Show the data
| Office | Cases | Share |
|---|---|---|
| The President, Vice President and Cabinet | 190 | 23% |
| Members of Congress | 147 | 18% |
| Other federal officials and employees | 141 | 17% |
| Federal judges and courts | 112 | 14% |
| Other officials (state judges, state agencies) | 82 | 10% |
| Prosecutors | 49 | 6.0% |
| Local officials | 49 | 6.0% |
| Governors and statewide officials | 19 | 2.3% |
| Election officials and workers | 18 | 2.2% |
| State legislators | 5 | 0.6% |
Where do the cases stand?
Every case by the stage in DOJ’s latest release about it
- Arrested1 0.1%
- Charged114 14%
- Indicted155 19%
- Pleaded guilty98 12%
- Convicted at trial26 3.2%
Show the data
| Stage | Cases | Share |
|---|---|---|
| Arrested | 1 | 0.1% |
| Charged | 114 | 14% |
| Indicted | 155 | 19% |
| Pleaded guilty | 98 | 12% |
| Convicted at trial | 26 | 3.2% |
| Sentenced | 416 | 51% |
| Dismissed | 1 | 0.1% |
| Other (an appeal, a civil action) | 1 | 0.1% |
Reading the stages
Each case is shown at the stage of DOJ’s latest release about it. A case announced at its arrest and never mentioned again stays “charged” or “arrested” here even if it has since ended; DOJ announces convictions and sentences more often than acquittals or dismissals.
Every case (CSV) (sign in to download): one row per case, with the defendants’ names as DOJ published them, the office threatened, the stage, the statutes and links to every release. Updated through Nov 12, 2026.
Back to topNext: Threats and harassment against local officials
Threats and harassment against local officials
The Bridging Divides Initiative recorded 552 incidents of threats or harassment against local officials in 2025, against 628 in 2024. Elected and appointed officials: 308 (56%).
Threats and harassment aimed at local officials (elected and appointed officials, judicial officials, school officials, election officials and poll workers), as the Bridging Divides Initiative at Princeton University recorded them from news reports and its partners’ reports. A separate record from the events above and from the prosecutions in section 10, which the filters at the top of the page do not touch.
How many threats and acts of harassment are recorded each month?
Incidents against local officials by month, Jan 2022 to Apr 2026: 2,192 in all
Show the data
| Year | Incidents | Threats | Harassment | Elected and appointed officials | Judicial officials | School officials | Election officials and poll workers | Other targets | Not recorded | Note |
|---|---|---|---|---|---|---|---|---|---|---|
| 2022 | 374 | 227 | 178 | 233 | 47 | 32 | 50 | 21 | 0 | |
| 2023 | 565 | 324 | 280 | 288 | 130 | 81 | 22 | 44 | 1 | |
| 2024 | 628 | 423 | 263 | 297 | 151 | 99 | 51 | 36 | 6 | |
| 2025 | 552 | 398 | 222 | 308 | 94 | 110 | 1 | 36 | 7 | |
| 2026 | 73 | 54 | 28 | 38 | 18 | 12 | 1 | 7 | 0 | To Apr 28, 2026 |
What this counts
These are incidents reported in the media and by BDI’s partners, not every threat. An incident can be a threat and harassment at once, and can target more than one kind of official; it is counted under each.
268 dates are imputed to the month, so the figures count by month, never by day. 2026 runs only to Apr 28, 2026, the release’s last date, and its latest months may grow in later releases.
BDI withdraws events it has recorded; the lab drops every one, 240 so far, from the figures and the file.
Section 10 counts the federal prosecutions DOJ announced. This counts incidents against local officials, whether or not anyone was charged. The two records are never added together.
Who was targeted?
Incidents per month by the kind of official targeted, all on one scale
Elected and appointed officials1,164 53%
Judicial officials440 20%
School officials334 15%
Election officials and poll workers125 5.7%
Other targets144 6.6%
Not recorded14 0.6%
Show the data
| Month | Incidents | Elected and appointed officials | Judicial officials | School officials | Election officials and poll workers | Other targets | Not recorded |
|---|---|---|---|---|---|---|---|
| Apr 2026 | 13 | 10 | 0 | 3 | 0 | 0 | 0 |
| Mar 2026 | 16 | 9 | 1 | 2 | 1 | 3 | 0 |
| Feb 2026 | 26 | 13 | 8 | 4 | 0 | 3 | 0 |
| Jan 2026 | 18 | 6 | 9 | 3 | 0 | 1 | 0 |
| Dec 2025 | 25 | 20 | 4 | 0 | 0 | 1 | 0 |
| Nov 2025 | 27 | 17 | 0 | 9 | 1 | 0 | 0 |
| Oct 2025 | 42 | 21 | 10 | 10 | 0 | 1 | 1 |
| Sep 2025 | 93 | 53 | 10 | 24 | 0 | 6 | 0 |
| Aug 2025 | 24 | 13 | 7 | 0 | 0 | 4 | 0 |
| Jul 2025 | 39 | 19 | 7 | 5 | 0 | 7 | 1 |
| Jun 2025 | 60 | 34 | 17 | 5 | 0 | 4 | 0 |
| May 2025 | 46 | 30 | 6 | 7 | 0 | 2 | 1 |
| Apr 2025 | 38 | 21 | 7 | 7 | 0 | 2 | 1 |
| Mar 2025 | 44 | 30 | 10 | 4 | 0 | 2 | 0 |
| Feb 2025 | 76 | 28 | 7 | 32 | 0 | 6 | 3 |
| Jan 2025 | 38 | 22 | 9 | 7 | 0 | 1 | 0 |
| Dec 2024 | 48 | 24 | 14 | 8 | 0 | 2 | 0 |
| Nov 2024 | 89 | 29 | 13 | 30 | 21 | 4 | 0 |
| Oct 2024 | 55 | 17 | 12 | 3 | 19 | 4 | 2 |
| Sep 2024 | 47 | 20 | 9 | 10 | 2 | 6 | 0 |
| Aug 2024 | 42 | 16 | 20 | 5 | 1 | 0 | 0 |
| Jul 2024 | 56 | 33 | 11 | 4 | 3 | 3 | 2 |
| Jun 2024 | 48 | 27 | 12 | 7 | 1 | 2 | 0 |
| May 2024 | 36 | 13 | 14 | 3 | 1 | 3 | 2 |
| Apr 2024 | 65 | 41 | 12 | 7 | 1 | 4 | 0 |
| Mar 2024 | 48 | 19 | 15 | 10 | 1 | 3 | 0 |
| Feb 2024 | 47 | 28 | 12 | 6 | 0 | 1 | 0 |
| Jan 2024 | 47 | 30 | 7 | 6 | 1 | 4 | 0 |
| Dec 2023 | 43 | 29 | 12 | 1 | 1 | 0 | 0 |
| Nov 2023 | 42 | 23 | 4 | 3 | 11 | 1 | 0 |
| Oct 2023 | 63 | 43 | 13 | 4 | 2 | 1 | 0 |
| Sep 2023 | 64 | 30 | 12 | 17 | 1 | 4 | 0 |
| Aug 2023 | 68 | 25 | 17 | 14 | 3 | 10 | 0 |
| Jul 2023 | 47 | 12 | 14 | 14 | 0 | 7 | 0 |
| Jun 2023 | 57 | 40 | 7 | 6 | 0 | 4 | 0 |
| May 2023 | 27 | 18 | 7 | 2 | 0 | 0 | 0 |
| Apr 2023 | 43 | 19 | 13 | 4 | 0 | 6 | 1 |
| Mar 2023 | 37 | 14 | 18 | 3 | 0 | 2 | 0 |
| Feb 2023 | 29 | 12 | 7 | 5 | 4 | 1 | 0 |
| Jan 2023 | 45 | 23 | 6 | 8 | 0 | 8 | 0 |
| Dec 2022 | 52 | 43 | 3 | 7 | 0 | 1 | 0 |
| Nov 2022 | 37 | 20 | 6 | 3 | 10 | 1 | 0 |
| Oct 2022 | 34 | 24 | 5 | 3 | 2 | 1 | 0 |
| Sep 2022 | 19 | 15 | 2 | 2 | 0 | 0 | 0 |
| Aug 2022 | 36 | 20 | 2 | 0 | 12 | 2 | 0 |
| Jul 2022 | 26 | 16 | 1 | 0 | 9 | 0 | 0 |
| Jun 2022 | 37 | 22 | 7 | 1 | 4 | 4 | 0 |
| May 2022 | 29 | 15 | 6 | 2 | 3 | 5 | 0 |
| Apr 2022 | 25 | 18 | 3 | 3 | 0 | 1 | 0 |
| Mar 2022 | 26 | 11 | 8 | 2 | 3 | 2 | 0 |
| Feb 2022 | 23 | 11 | 1 | 4 | 4 | 3 | 0 |
| Jan 2022 | 30 | 18 | 3 | 5 | 3 | 1 | 0 |
Threats or harassment?
Each kind of official’s incidents by what BDI recorded: a threat, harassment or both
Show the data
| Targeted | Incidents | Threats | Harassment | Both |
|---|---|---|---|---|
| All incidents | 2192 | 1426 | 971 | 205 |
| Elected and appointed officials | 1164 | 667 | 597 | 100 |
| Judicial officials | 440 | 349 | 131 | 40 |
| School officials | 334 | 242 | 130 | 38 |
| Election officials and poll workers | 125 | 74 | 58 | 7 |
| Other targets | 144 | 105 | 61 | 22 |
| Not recorded | 14 | 13 | 5 | 4 |
Which states have the highest rates?
Incidents per million residents, Jan 2022 to Apr 2026
- 1Maine18.4 26 incidents
- 2Montana17.5 20 incidents
- 3Oregon15.9 68 incidents
- 4Wyoming15.3 9 incidents
- 5Alaska13.6 10 incidents
Show the data
| State | Incidents | Threats | Harassment | Per million residents |
|---|---|---|---|---|
| Maine | 26 | 19 | 11 | 18.4 |
| Montana | 20 | 13 | 9 | 17.5 |
| Oregon | 68 | 36 | 33 | 15.9 |
| Wyoming | 9 | 4 | 5 | 15.3 |
| Alaska | 10 | 7 | 6 | 13.6 |
| Idaho | 26 | 15 | 14 | 12.8 |
| Vermont | 8 | 7 | 1 | 12.4 |
| New Mexico | 24 | 16 | 12 | 11.3 |
| Arizona | 85 | 57 | 33 | 11.2 |
| Washington | 85 | 45 | 43 | 10.6 |
| New Jersey | 93 | 52 | 46 | 9.7 |
| West Virginia | 17 | 17 | 4 | 9.6 |
| Kansas | 28 | 18 | 11 | 9.4 |
| Massachusetts | 66 | 13 | 55 | 9.2 |
| Colorado | 54 | 36 | 21 | 9.0 |
| Rhode Island | 10 | 5 | 6 | 9.0 |
| Pennsylvania | 117 | 91 | 48 | 9.0 |
| Michigan | 89 | 60 | 36 | 8.8 |
| Minnesota | 49 | 37 | 17 | 8.4 |
| Wisconsin | 45 | 32 | 19 | 7.5 |
| Indiana | 51 | 37 | 17 | 7.3 |
| Nevada | 24 | 12 | 14 | 7.3 |
| District of Columbia | 5 | 3 | 3 | 7.2 |
| Ohio | 81 | 51 | 39 | 6.8 |
| Georgia | 75 | 46 | 38 | 6.6 |
| California | 256 | 157 | 117 | 6.5 |
| Iowa | 21 | 9 | 12 | 6.5 |
| New York | 126 | 94 | 52 | 6.3 |
| North Dakota | 5 | 4 | 2 | 6.3 |
| Utah | 22 | 17 | 7 | 6.2 |
| Illinois | 76 | 56 | 23 | 6.0 |
| Maryland | 37 | 24 | 16 | 5.9 |
| Oklahoma | 24 | 13 | 14 | 5.8 |
| New Hampshire | 8 | 5 | 4 | 5.7 |
| North Carolina | 63 | 43 | 24 | 5.6 |
| Connecticut | 20 | 14 | 11 | 5.4 |
| Missouri | 32 | 21 | 13 | 5.1 |
| South Carolina | 26 | 17 | 15 | 4.7 |
| Tennessee | 30 | 21 | 11 | 4.1 |
| Florida | 95 | 79 | 29 | 4.0 |
| Alabama | 21 | 12 | 13 | 4.0 |
| Kentucky | 16 | 14 | 2 | 3.5 |
| Mississippi | 10 | 8 | 2 | 3.4 |
| Virginia | 28 | 21 | 11 | 3.1 |
| Louisiana | 13 | 11 | 4 | 2.8 |
| Arkansas | 8 | 6 | 3 | 2.6 |
| Texas | 81 | 44 | 43 | 2.5 |
| Nebraska | 5 | 4 | 1 | 2.5 |
| Hawaii | 3 | 2 | 1 | 2.1 |
| South Dakota | 1 | 1 | 0 | 1.1 |
| Delaware | 0 | 0 | 0 | 0.0 |
Reading the state rates
Each rate divides a state’s incidents from Jan 2022 to Apr 2026 by its population in 2025 (Census Bureau estimates). BDI’s count depends on its media sources and partners, so a high rate can reflect where BDI looks as well as where threats happen. Delaware has no recorded incident.
Every incident (CSV) (sign in to download): one row per incident, with BDI’s anonymised summary, the date and how exact it is, the county and state, who was targeted, the nature and method, and BDI’s sources; withdrawn events are left out. April 2026 release.
Source: Bridging Divides Initiative, Princeton University. Threats and Harassment Dataset (THD), April 2026 release. bridgingdivides.princeton.edu/THD ↗ (opens in a new tab). Published event by event with BDI’s approval.
Methods and sources
How the record is built, what it leaves out, and how this page writes its headlines. The record holds 372 events from 1970 to Sep 24, 2025.
Sources
Events come from the Global Terrorism Database (1970 to 2020) and the Prosecution Project (2020 on), supplemented with recent high-profile acts of political violence that have not yet led to a prosecution.
The Protest section (8) is a separate record, never merged into the events: the Crowd Counting Consortium’s compiled U.S. protest data (CC0), which the lab counts by county and month each week.
The Hate crimes section (9) is context from another separate record, never merged into the events: the incidents law enforcement agencies reported to the FBI’s Uniform Crime Reporting Program, with how much of the country was reporting.
Section 11 is another separate record: the Bridging Divides Initiative’s Threats and Harassment Dataset (Princeton University), threats and harassment against local officials since 2022 from news reports and BDI’s partners, published event by event with BDI’s approval. Events BDI has withdrawn are left out of the figures and the file.
What counts as an event
The record is limited to acts in the United States carried out by US nationals. Events are consolidated by three rules:
- Several acts of violence by the same person on the same day are one row, holding the details of every act that day.
- Two different types of crime by the same person on the same day are two rows.
- Serial incidents by the same person on different days are separate events.
Only acts that meet the lab’s definition of violence are included: serious violent acts such as assassinations and physical assaults; less severe violent acts such as pepper spraying or biting; arson; and threatening behaviour with a dangerous weapon. Verbal or written threats, and plots disrupted before any violent act, are not included. Prosecutions for threatening officials are a separate record, in section 10.
How motivation is coded
For each act the coders answered: “Is this action explicitly motivated by a politician, party, policy, or institution?” The test is strict; an inconclusive, unclear or ambiguous motive does not fit a category. The victim, the place and the attacker’s identity are not evidence of motive on their own. Two examples that do not qualify: “A rock was thrown through a window of an abortion clinic in Houston, TX” (a protest of abortion policy has to be inferred), and “A man who frequented right wing websites stabbed a man in the street.” Being political is not enough: the motive must map onto Democratic and Republican divisions or onto a specific government policy.
| Category | Recorded as | Definition |
|---|---|---|
| Government policy | Government Policy | Explicitly motivated by a government policy. |
| A politician or party | Politician/Party | Explicitly motivated by a politician or a party. |
| A government agency or process | Institution | Explicitly motivated by a government democratic institution or process (recorded as “Institution”). |
| Motivation unclear | Unclear | The motivation is unclear, partisan views are only suggested, or the violence may not be political. |
Threats against officials
Section 10 is a separate record: federal prosecutions for threatening an elected or appointed official, a judge or a prosecutor, read from every press release on justice.gov (public domain) since 2009. Threats aimed only at police, corrections officers, federal agents or the armed forces are left out. A language model reads each release that mentions a threat or a threat statute and decides whether it announces a charged threat against an official, the office of the official threatened and the stage of the case; releases about the same defendant, office and charges are grouped into one case. Checked by hand on 150 releases, it found all 46 in the series and put none of the other 104 in it, with the office threatened right in every case and the stage in all but one. The U.S. Attorneys’ releases enter the archive in 2013, so the figures start there.
Variables
Every variable follows the Global Terrorism Database codebook ↗ (opens in a new tab), except the motivation category (prl_meta), which is the coders’ answer above.
Maintained by
Ellie Mitchell, Derek Holliday and Sean J. Westwood.
What to keep in mind
- The record starts in 1970 because the Global Terrorism Database starts in 1970. Every event carries a full date; the 1970 events fall in all twelve months and each summary opens with its own date, so the start is not a fill-in for unknown dates.
- 1993 has no events: the GTD’s 1993 records were lost.
- The sources change in 2020, so counts before and after are not strictly comparable.
- The latest event is Sep 24, 2025; 2025 is shown as a partial year and left out of comparisons.
- Three events’ coded dates differ from the date written in their own summary (the event list shows both); the coded date is used.
- Three serial incidents are single rows that list several states; they are counted under the first state, as on the main site. One row with its city and state swapped (“Portland”, “Oregon”) is read as Portland, Oregon.
- Puerto Rico appears as a state (28 events in the whole record) and is on the map.
- The number of perpetrators is recorded as −99 (unknown) or 0 in 182 rows; both are shown as not recorded. Sex and race are often not recorded.
- Events with an unclear motivation are kept in every count and labelled; the category may include violence that is not political.
How the headlines are written
Every headline is computed from the events by a fixed rule, for whatever the filters select; the page head always describes the whole record. Nothing is chosen by hand.
- The record’s last year is partial and left out of comparisons; “recent” means the ten complete years to 2024.
- Page head: events in the last ten complete years against the ten before, with the partial year and the source change.
- Over time: the last ten complete years against the ten before when the years selected allow it, otherwise the total; the year with the most events.
- Motivation: the largest category; since 2015, the largest category and its share then and before, when both periods hold at least 20 events.
- Targets and methods: the most frequent first-listed target and attack type. Deaths: the share of events with no deaths, the people killed and the most in one event. Places: the state or territory with the most events. Perpetrators: how often each field is recorded.
Data
- Every event (CSV) (sign in to download): one row per event, with its summary, motive, target and perpetrator fields
- Events by state (CSV) (sign in to download): events, deaths and first and last year per state
- Every event (JSON): the file this page reads
- Protests by county and month (CSV) (sign in to download): the Crowd Counting Consortium’s in-person protests counted by county and month, a separate record from the events
- Protest series (JSON): the national and state protest figures this page draws
- Hate crimes by state and year (CSV) (sign in to download): incidents reported to the FBI since 1991 by state, year and bias category, with the reporting coverage; a separate record from the events
- Threats against officials (CSV) (sign in to download): one row per prosecution announced by the Justice Department, with the defendants, the office threatened, the stage and links to every release (section 10)
- Threats and harassment against local officials (CSV) (sign in to download): one row per incident in the Bridging Divides Initiative’s Threats and Harassment Dataset, with BDI’s summary, the county and state and who was targeted; withdrawn events left out (section 11)

