Crime · Safety
Deadliest States for Police Officers
American law enforcement officers have died in the line of duty 3,120 times since 2005, setting aside two one-time-event tails that ODMP also counts: 887 COVID-19 deaths and 601 9/11-related illness deaths. This map and these tables show where those deaths happened, what caused them and how the risk differs by the kind of agency an officer served. The clearest split is by job: state troopers die mostly on the road while city officers face gunfire. Toggle COVID or 9/11 back on anywhere to see their effect.
Updated July 21, 2026Source: Officer Down Memorial Page (ODMP)
Officer Deaths by State
Green is safest, red is deadliest. The default view adjusts for population so a small state with many deaths still stands out and excludes COVID-19 and 9/11 illness. Switch to total deaths for raw counts or toggle either tail back on. Click a state for its detail page.
State Rankings
Sortable every way. Per million adjusts for state size; gunfire, vehicular and illness columns show each state's cause mix. New York's rate is driven by 9/11-related illness deaths, which ODMP counts as line of duty.
| Louisiana | 116 | 24.9 | 42% | 44% | 10% | Vehicular / Traffic |
| Mississippi | 68 | 23.0 | 44% | 49% | 6% | Vehicular / Traffic |
| Arkansas | 50 | 16.6 | 40% | 30% | 14% | Gunfire |
| New Mexico | 35 | 16.5 | 37% | 43% | 6% | Vehicular / Traffic |
| Oklahoma | 61 | 15.4 | 18% | 57% | 18% | Vehicular / Traffic |
| Alabama | 77 | 15.3 | 35% | 42% | 17% | Vehicular / Traffic |
| District of Columbia | 10 | 14.5 | 20% | 40% | 30% | Vehicular / Traffic |
| Georgia | 155 | 14.5 | 37% | 46% | 10% | Vehicular / Traffic |
| Kentucky | 58 | 12.9 | 34% | 29% | 29% | Gunfire |
| Tennessee | 86 | 12.4 | 24% | 48% | 17% | Vehicular / Traffic |
| Missouri | 76 | 12.3 | 37% | 39% | 16% | Vehicular / Traffic |
| South Carolina | 63 | 12.3 | 33% | 54% | 8% | Vehicular / Traffic |
| Alaska | 8 | 10.9 | 75% | 0% | 0% | Gunfire |
| Texas | 301 | 10.3 | 34% | 47% | 12% | Vehicular / Traffic |
| North Dakota | 8 | 10.3 | 63% | 13% | 25% | Gunfire |
| Montana | 11 | 10.1 | 27% | 73% | 0% | Vehicular / Traffic |
| Kansas | 29 | 9.9 | 62% | 24% | 7% | Gunfire |
| North Carolina | 101 | 9.7 | 34% | 42% | 11% | Vehicular / Traffic |
| Delaware | 9 | 9.1 | 33% | 0% | 22% | Gunfire |
| West Virginia | 16 | 8.9 | 56% | 25% | 13% | Gunfire |
| Indiana | 60 | 8.8 | 37% | 42% | 10% | Vehicular / Traffic |
| Wyoming | 5 | 8.7 | 40% | 20% | 20% | Gunfire |
| Colorado | 49 | 8.5 | 47% | 35% | 6% | Gunfire |
| Florida | 181 | 8.4 | 36% | 40% | 19% | Vehicular / Traffic |
| Virginia | 72 | 8.3 | 42% | 35% | 14% | Gunfire |
| Hawaii | 12 | 8.2 | 42% | 42% | 17% | Gunfire |
| Iowa | 26 | 8.1 | 27% | 38% | 19% | Vehicular / Traffic |
| Nevada | 25 | 8.1 | 44% | 40% | 12% | Gunfire |
| Arizona | 54 | 7.6 | 44% | 37% | 9% | Gunfire |
| Maryland | 46 | 7.4 | 30% | 52% | 11% | Vehicular / Traffic |
| Pennsylvania | 96 | 7.4 | 50% | 24% | 18% | Gunfire |
| Maine | 10 | 7.3 | 10% | 10% | 30% | Other |
| Michigan | 73 | 7.2 | 44% | 32% | 16% | Gunfire |
| Illinois | 90 | 7.0 | 40% | 47% | 9% | Vehicular / Traffic |
| Ohio | 80 | 6.8 | 43% | 36% | 16% | Gunfire |
| South Dakota | 6 | 6.8 | 50% | 17% | 0% | Gunfire |
| Nebraska | 13 | 6.6 | 15% | 31% | 46% | Illness (non-COVID) |
| Utah | 21 | 6.4 | 52% | 29% | 5% | Gunfire |
| Washington | 48 | 6.2 | 38% | 31% | 21% | Gunfire |
| Massachusetts | 40 | 5.7 | 20% | 53% | 18% | Vehicular / Traffic |
| Wisconsin | 33 | 5.6 | 45% | 30% | 18% | Gunfire |
| California | 219 | 5.5 | 41% | 43% | 9% | Vehicular / Traffic |
| Minnesota | 30 | 5.3 | 40% | 20% | 30% | Gunfire |
| New York | 105 | 5.2 | 42% | 29% | 17% | Illness (non-COVID) |
| New Jersey | 48 | 5.2 | 25% | 54% | 19% | Vehicular / Traffic |
| New Hampshire | 6 | 4.4 | 67% | 17% | 17% | Gunfire |
| Connecticut | 15 | 4.2 | 20% | 60% | 0% | Vehicular / Traffic |
| Idaho | 7 | 3.8 | 43% | 43% | 14% | Gunfire |
| Oregon | 15 | 3.5 | 40% | 13% | 20% | Gunfire |
| Vermont | 2 | 3.1 | 0% | 50% | 50% | Vehicular / Traffic |
| Rhode Island | 2 | 1.8 | 50% | 50% | 0% | Gunfire |
Shares are of the displayed total. Per million uses 2020 Census state population.
Officer Deaths vs Murder Rate
Some states lose more officers than their violence predicts and some fewer. We fit officer deaths per million against each state's murder rate then map the gap. Red means more officer deaths than the murder rate predicts and green means fewer. COVID and 9/11 illness are excluded by default; toggle 9/11 on to see how it lifts New York.
Deadliest Cities for Police
Municipal and county police only, per 100,000 residents since 2005, joined to FBI city population so a small county force is not judged against a tiny headquarters town. A city qualifies only with more than one unique deadly incident: one date at one agency counts as a single incident, so a city whose entire toll came from one ambush or one crash is excluded as a one-off. Bubbles grow as you zoom; hover a red or orange one for the numbers. New York stands out partly because of 9/11-related illness deaths in the NYPD.
| Doral, FL | 7 | 6 | 9.39 | 74,516 |
| Gaithersburg, MD | 5 | 5 | 7.25 | 68,985 |
| Terre Haute, IN | 3 | 3 | 5.06 | 59,266 |
| Baton Rouge, LA | 10 | 8 | 4.57 | 218,738 |
| St. Louis, MO | 12 | 12 | 4.17 | 287,483 |
| Rocky Mount, NC | 2 | 2 | 3.72 | 53,716 |
| New Haven, CT | 5 | 5 | 3.70 | 135,226 |
| Flint, MI | 3 | 3 | 3.51 | 85,522 |
| Weymouth, MA | 2 | 2 | 3.41 | 58,663 |
| Des Moines, IA | 7 | 6 | 3.31 | 211,526 |
| Taylor, MI | 2 | 2 | 3.28 | 61,065 |
| Detroit, MI | 21 | 21 | 3.25 | 645,351 |
| Cheyenne, WY | 2 | 2 | 3.08 | 64,881 |
| Montgomery, AL | 6 | 6 | 3.06 | 195,932 |
| New Orleans, LA | 11 | 11 | 2.92 | 376,211 |
| Albany, GA | 2 | 2 | 2.92 | 68,569 |
| Columbia, SC | 4 | 4 | 2.91 | 137,571 |
| San Marcos, TX | 2 | 2 | 2.86 | 70,000 |
| Gary, IN | 2 | 2 | 2.85 | 70,190 |
| Rio Rancho, NM | 3 | 3 | 2.82 | 106,383 |
| Tuscaloosa, AL | 3 | 3 | 2.80 | 107,122 |
| Jackson, MS | 4 | 4 | 2.68 | 149,132 |
| Beaumont, TX | 3 | 3 | 2.66 | 112,989 |
| Pittsburg, CA | 2 | 2 | 2.65 | 75,490 |
| Odessa, TX | 3 | 2 | 2.53 | 118,548 |
| Rapid City, SD | 2 | 2 | 2.51 | 79,654 |
| Lakeland, FL | 3 | 3 | 2.51 | 119,586 |
| Alhambra, CA | 2 | 2 | 2.47 | 80,945 |
| Topeka, KS | 3 | 2 | 2.40 | 125,006 |
| Hawthorne, CA | 2 | 2 | 2.39 | 83,842 |
| Abilene, TX | 3 | 3 | 2.37 | 126,599 |
| Huntsville, AL | 5 | 5 | 2.31 | 216,112 |
| Ogden, UT | 2 | 2 | 2.29 | 87,372 |
| Cleveland, OH | 8 | 8 | 2.17 | 368,621 |
| Chattanooga, TN | 4 | 4 | 2.16 | 185,460 |
| Livonia, MI | 2 | 2 | 2.16 | 92,788 |
| Jersey City, NJ | 6 | 5 | 2.15 | 279,565 |
| Reading, PA | 2 | 2 | 2.12 | 94,560 |
| Akron, OH | 4 | 4 | 2.09 | 191,519 |
| Fort Myers, FL | 2 | 2 | 2.06 | 97,029 |
| Albany, NY | 2 | 2 | 2.03 | 98,730 |
| South Bend, IN | 2 | 2 | 1.95 | 102,730 |
| Murfreesboro, TN | 3 | 3 | 1.86 | 161,133 |
| Provo, UT | 2 | 2 | 1.74 | 114,662 |
| Independence, MO | 2 | 2 | 1.68 | 119,052 |
| Newark, NJ | 5 | 5 | 1.67 | 299,025 |
| Mobile, AL | 4 | 4 | 1.67 | 240,136 |
| Shreveport, LA | 3 | 3 | 1.66 | 180,311 |
| Arvada, CO | 2 | 2 | 1.64 | 121,918 |
| Oakland, CA | 7 | 4 | 1.62 | 431,046 |
| Lafayette, LA | 2 | 2 | 1.62 | 123,613 |
| Wilmington, NC | 2 | 2 | 1.61 | 123,898 |
| Memphis, TN | 10 | 10 | 1.58 | 630,919 |
| Atlanta, GA | 8 | 7 | 1.57 | 510,052 |
| Baltimore, MD | 9 | 9 | 1.56 | 576,300 |
| Corpus Christi, TX | 5 | 5 | 1.55 | 321,546 |
| Fargo, ND | 2 | 2 | 1.53 | 130,368 |
| Worcester, MA | 3 | 3 | 1.51 | 199,272 |
| Kent, WA | 2 | 2 | 1.50 | 132,897 |
| Columbus, GA | 3 | 3 | 1.50 | 199,905 |
| Rochester, NY | 3 | 3 | 1.45 | 206,950 |
| Pomona, CA | 2 | 2 | 1.36 | 146,818 |
| Pasadena, TX | 2 | 2 | 1.36 | 147,570 |
| Paterson, NJ | 2 | 2 | 1.30 | 153,378 |
| Pittsburgh, PA | 4 | 2 | 1.30 | 308,076 |
| Norfolk, VA | 3 | 3 | 1.27 | 235,946 |
| Killeen, TX | 2 | 2 | 1.26 | 158,868 |
| Tampa, FL | 5 | 4 | 1.23 | 404,992 |
| Winston-Salem, NC | 3 | 3 | 1.19 | 251,497 |
| Chesapeake, VA | 3 | 3 | 1.19 | 252,270 |
| Louisville, KY | 8 | 8 | 1.18 | 675,166 |
| Washington, DC | 8 | 8 | 1.16 | 687,178 |
| Philadelphia, PA | 18 | 18 | 1.15 | 1,569,506 |
| St. Petersburg, FL | 3 | 2 | 1.13 | 264,601 |
| Toledo, OH | 3 | 3 | 1.12 | 267,234 |
| Chandler, AZ | 3 | 3 | 1.08 | 278,028 |
| Providence, RI | 2 | 2 | 1.07 | 187,561 |
| Chicago, IL | 28 | 27 | 1.05 | 2,666,933 |
| Milwaukee, WI | 6 | 6 | 1.05 | 572,660 |
| Saint Paul, MN | 3 | 3 | 1.00 | 300,354 |
| Birmingham, AL | 2 | 2 | 1.00 | 200,250 |
| Grand Prairie, TX | 2 | 2 | 1.00 | 200,919 |
| Greensboro, NC | 3 | 3 | 1.00 | 301,403 |
| Amarillo, TX | 2 | 2 | 0.99 | 201,421 |
| Dallas, TX | 13 | 10 | 0.98 | 1,324,965 |
| Modesto, CA | 2 | 2 | 0.92 | 217,871 |
| Honolulu, HI | 9 | 8 | 0.91 | 985,379 |
| San Bernardino, CA | 2 | 2 | 0.91 | 220,192 |
| Miami, FL | 4 | 4 | 0.87 | 461,317 |
| Glendale, AZ | 2 | 2 | 0.79 | 253,639 |
| Phoenix, AZ | 13 | 13 | 0.78 | 1,661,729 |
| Las Vegas, NV | 13 | 11 | 0.77 | 1,686,567 |
| Arlington, TX | 3 | 3 | 0.75 | 398,251 |
| Buffalo, NY | 2 | 2 | 0.75 | 266,759 |
| El Paso, TX | 5 | 5 | 0.73 | 680,756 |
| Gilbert, AZ | 2 | 2 | 0.73 | 273,143 |
| San Antonio, TX | 11 | 11 | 0.72 | 1,527,199 |
| North Las Vegas, NV | 2 | 2 | 0.72 | 277,873 |
| Minneapolis, MN | 3 | 3 | 0.70 | 428,178 |
| Denver, CO | 5 | 5 | 0.69 | 723,487 |
| Virginia Beach, VA | 3 | 2 | 0.66 | 453,900 |
| Cincinnati, OH | 2 | 2 | 0.65 | 307,775 |
| Houston, TX | 15 | 15 | 0.65 | 2,317,101 |
| Stockton, CA | 2 | 2 | 0.63 | 318,907 |
| Colorado Springs, CO | 3 | 3 | 0.61 | 488,457 |
| Riverside, CA | 2 | 2 | 0.61 | 326,263 |
| Austin, TX | 6 | 6 | 0.61 | 989,132 |
| Oklahoma City, OK | 4 | 4 | 0.58 | 687,496 |
| Albuquerque, NM | 3 | 2 | 0.53 | 560,922 |
| Seattle, WA | 4 | 4 | 0.53 | 760,560 |
| Charlotte, NC | 5 | 4 | 0.52 | 970,508 |
| Aurora, CO | 2 | 2 | 0.51 | 393,316 |
| San Diego, CA | 7 | 6 | 0.50 | 1,403,498 |
| Indianapolis, IN | 4 | 4 | 0.45 | 890,154 |
| Columbus, OH | 4 | 4 | 0.44 | 911,772 |
| Nashville, TN | 3 | 3 | 0.44 | 689,522 |
| New York, NY | 36 | 34 | 0.43 | 8,299,129 |
| Fort Worth, TX | 4 | 4 | 0.42 | 959,435 |
| Omaha, NE | 2 | 2 | 0.42 | 481,154 |
| San Francisco, CA | 3 | 3 | 0.37 | 819,460 |
| Tucson, AZ | 2 | 2 | 0.36 | 549,741 |
| Los Angeles, CA | 12 | 12 | 0.31 | 3,876,064 |
| San Jose, CA | 2 | 2 | 0.20 | 983,100 |
Leading Causes by Agency Type
Read down each column for that agency type's cause mix. This is the answer to whether car crashes are riskier for troopers: they are.
The Type of Law Enforcement Work Drastically Changes the Risk Profile: Gunfire Leads for City Police (48 Percent) While Vehicles Are the Biggest Threat for Troopers (64 Percent) and Deputies (45 Percent)
| Cause of Death | City / Municipal Police | County Sheriff | State Police / Highway Patrol | Federal | Tribal | Other / Special |
|---|---|---|---|---|---|---|
| Gunfire | 48% | 33% | 19% | 21% | 34% | 24% |
| Vehicular / Traffic | 34% | 45% | 64% | 27% | 48% | 30% |
| Assault / Physical | 1% | 2% | 0% | 4% | 0% | 15% |
| Illness (non-COVID) | 13% | 14% | 8% | 23% | 14% | 20% |
| Other | 4% | 6% | 9% | 25% | 3% | 11% |
| Total Deaths | 1,488 | 836 | 287 | 187 | 29 | 293 |
Read down each column for that agency type's cause mix. Percentages are of the column total and the darkest cell is each column's leading cause.
Leading Causes Overall
Every cause ODMP records, ranked. Gunfire leads, with vehicle crashes and 9/11-related cancers close behind. COVID-19 and 9/11 illness are shown here for completeness; the rest of this page excludes both by default.
| Gunfire | Gunfire | 1,107 | 24.0% |
| COVID19 | COVID-19 | 887 | 19.2% |
| Automobile crash | Vehicular / Traffic | 605 | 13.1% |
| 9/11 related illness | Illness (non-COVID) | 601 | 13.0% |
| Heart attack | Illness (non-COVID) | 344 | 7.5% |
| Vehicular assault | Vehicular / Traffic | 254 | 5.5% |
| Struck by vehicle | Vehicular / Traffic | 179 | 3.9% |
| Motorcycle crash | Vehicular / Traffic | 102 | 2.2% |
| Duty related illness | Illness (non-COVID) | 96 | 2.1% |
| Vehicle pursuit | Vehicular / Traffic | 74 | 1.6% |
| Assault | Assault / Physical | 60 | 1.3% |
| Gunfire (Inadvertent) | Gunfire | 59 | 1.3% |
| Drowned | Other | 43 | 0.9% |
| Aircraft accident | Other | 42 | 0.9% |
| Fall | Other | 24 | 0.5% |
| Stabbed | Assault / Physical | 23 | 0.5% |
| Bomb | Other | 19 | 0.4% |
| Training accident | Other | 13 | 0.3% |
| Accidental | Other | 13 | 0.3% |
| Exposure to toxins | Other | 10 | 0.2% |
| Heatstroke | Other | 9 | 0.2% |
| Weather/Natural disaster | Other | 7 | 0.2% |
| Struck by train | Vehicular / Traffic | 7 | 0.2% |
| Animal related | Other | 6 | 0.1% |
| Boating accident | Other | 6 | 0.1% |
| Explosion | Other | 5 | 0.1% |
| Fire | Other | 5 | 0.1% |
| Electrocuted | Other | 3 | 0.1% |
| Train accident | Other | 2 | 0.0% |
| Bicycle accident | Vehicular / Traffic | 2 | 0.0% |
| Asphyxiation | Other | 1 | 0.0% |
The National Trend
Deaths per year, stacked by cause. COVID-19 is off by default; toggle it on to see how it dwarfed every other cause in 2020 and 2021.
2026 is year to date and will rise as the year continues.
All States
Sorted deadliest to safest by deaths per million residents, COVID and 9/11 illness excluded.
- Louisiana24.9/M · 116
- Mississippi23.0/M · 68
- Arkansas16.6/M · 50
- New Mexico16.5/M · 35
- Oklahoma15.4/M · 61
- Alabama15.3/M · 77
- District of Columbia14.5/M · 10
- Georgia14.5/M · 155
- Kentucky12.9/M · 58
- Tennessee12.4/M · 86
- Missouri12.3/M · 76
- South Carolina12.3/M · 63
- Alaska10.9/M · 8
- Texas10.3/M · 301
- North Dakota10.3/M · 8
- Montana10.1/M · 11
- Kansas9.9/M · 29
- North Carolina9.7/M · 101
- Delaware9.1/M · 9
- West Virginia8.9/M · 16
- Indiana8.8/M · 60
- Wyoming8.7/M · 5
- Colorado8.5/M · 49
- Florida8.4/M · 181
- Virginia8.3/M · 72
- Hawaii8.2/M · 12
- Iowa8.1/M · 26
- Nevada8.1/M · 25
- Arizona7.6/M · 54
- Maryland7.4/M · 46
- Pennsylvania7.4/M · 96
- Maine7.3/M · 10
- Michigan7.2/M · 73
- Illinois7.0/M · 90
- Ohio6.8/M · 80
- South Dakota6.8/M · 6
- Nebraska6.6/M · 13
- Utah6.4/M · 21
- Washington6.2/M · 48
- Massachusetts5.7/M · 40
- Wisconsin5.6/M · 33
- California5.5/M · 219
- Minnesota5.3/M · 30
- New York5.2/M · 105
- New Jersey5.2/M · 48
- New Hampshire4.4/M · 6
- Connecticut4.2/M · 15
- Idaho3.8/M · 7
- Oregon3.5/M · 15
- Vermont3.1/M · 2
- Rhode Island1.8/M · 2
Methodology
Source: the Officer Down Memorial Page, a nonprofit that has documented U.S. line-of-duty deaths since 1996. We pull every officer with an end of watch in 2005 through 2026 (K9 records excluded) and tally them by state, cause and agency type. Counts are cumulative across the whole window so a single death in a small state does not swing the picture.
Per-capita figures are deaths per million residents using 2020 Census state populations. We do not use a sworn-officer denominator here. Deaths are mapped to the agency's home state. Federal officers (302) and officers in U.S. territories and multi-state agencies such as tribal and railroad police (120) appear in the national, cause and agency views but not the 50-state and DC map.
The city map and table cover municipal and county police departments only, joined to FBI city population with a 50,000-resident floor so per-capita rates stay meaningful. A city must have more than one unique deadly incident to appear in the ranking. ODMP publishes no incident identifier, so we treat one end-of-watch date at one agency as one incident: an ambush that kills three officers of the same department on the same day is one incident and three deaths on separate days are three. A city whose entire toll comes from a single incident is presumed a one-off and is excluded, whatever the death count. The qualifying incident count is measured over the same deaths shown. COVID-19 and 9/11-related illness are excluded by default, so a city whose only additional unique incidents are COVID or 9/11 deaths falls back below the threshold and drops out. It returns only if you toggle that tail back on.
ODMP counts illness as line of duty, including 9/11-related cancers (601 deaths, almost all attributed to New York agencies) and COVID-19 (887 deaths in 2020-2022). Both are one-time-event tails that distort a standing ranking, so both are excluded by default everywhere on this page, each with its own toggle to add it back. COVID otherwise swamps 2020 and 2021; 9/11 illness otherwise makes New York stand out for a 2001 event. Other illness such as heart attacks and duty-related illness stays in.
Agency types follow ODMP's classification, collapsed into city or municipal police, county sheriff, state police and highway patrol (troopers), tribal, federal and a catch-all for corrections, constables, campus, transit and similar special-jurisdiction agencies. ODMP totals run higher than the FBI and NLEOMF because those exclude most illness: for 2024, ODMP records 194 officer deaths against NLEOMF's 147.
Sources
- Officer Down Memorial Page. Per-officer line-of-duty records by state, cause and agency type.
- National Law Enforcement Officers Memorial Fund. Annual fatality reports we use as a cross-check.
- FBI LEOKA (Law Enforcement Officers Killed and Assaulted). Felonious and accidental officer deaths we use as a cross-check.
