Key Takeaways
- In 2022, 61 law enforcement officers were feloniously killed in the line of duty.
- In 2021, 73 officers died from felonious causes.
- 136 officers were killed in the line of duty in 2023.
- In 2022, 10,085 officers were injured in assaults.
- 2021 assault injuries: 11,041.
- 60,211 assaults on officers in 2022.
- In 2022, 42 officers killed in vehicle crashes.
- Motorcycle accidents: 28 officer deaths 2022.
- 2021: 79 accidental deaths.
- Assaults increased 5% from 2021 to 2022.
- Officer assaults rose 61% from 2016 to 2022.
- Felonious deaths down 10% decade 2013-2022.
- 40% of officers under 35 injured in assaults.
- Male officers: 89% of assault victims 2022.
- Average age of killed officers: 41 in 2022.
Police officers in 2026 still face a persistent risk of injury and death while performing their duties, with dangerous encounters and accidents continuing to affect communities nationwide.
Accidental Injuries
Accidental Injuries Interpretation
Demographic Statistics
Demographic Statistics Interpretation
Fatal Injuries
Fatal Injuries Interpretation
Injury Trends
Injury Trends Interpretation
Non-Fatal Assault Injuries
Non-Fatal Assault Injuries Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Marcus Engström. (2026, February 13). Police Officer Injuries Statistics. Gitnux. https://gitnux.org/police-officer-injuries-statistics
Marcus Engström. "Police Officer Injuries Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/police-officer-injuries-statistics.
Marcus Engström. 2026. "Police Officer Injuries Statistics." Gitnux. https://gitnux.org/police-officer-injuries-statistics.
Sources & References
- Reference 1UCRucr.fbi.gov
ucr.fbi.gov
- Reference 2NLEOMFnleomf.org
nleomf.org
- Reference 3FBIfbi.gov
fbi.gov
- Reference 4POLICE1police1.com
police1.com
- Reference 5PURSUITSTATSpursuitstats.com
pursuitstats.com
- Reference 6ODMPodmp.org
odmp.org
- Reference 7THEPOLICETRIBUNEthepolicetribune.com
thepolicetribune.com
- Reference 8BJSbjs.ojp.gov
bjs.ojp.gov
- Reference 9CDEcde.ucr.cjis.gov
cde.ucr.cjis.gov
- Reference 10BLSbls.gov
bls.gov
- Reference 11POLICEFOUNDATIONpolicefoundation.org
policefoundation.org






