Key Takeaways
- Wright/Rossi felon survey: 34% of criminals stopped by victim gun, attacker unhurt.
- Kleck/Gertz: In 77.1% of DGUs, attacker fled without shot fired.
- 40% of felons in 1982 survey said they'd avoid victims with guns.
- Kleck/Gertz 1995: DGUs outnumber gun crimes 60:1.
- FBI UCR 2020: 14,000 gun murders vs. 2M DGUs estimated.
- CDC 2013: DGUs 500K-3M vs. 31K gun deaths.
- A 1995 telephone survey by criminologists Gary Kleck and Marc Gertz estimated 2.1 to 2.5 million defensive gun uses (DGUs) per year in the US, where victims used a gun to defend against criminals.
- The National Crime Victimization Survey (NCVS) from 1987-1992 reported about 83,000 DGUs per year when capturing only incidents where victims were directly confronted.
- Kleck's 1995 study found that in 81.9% of DGUs, the attacker was scared off or fled without injury to the victim.
- Gallup poll 2013: 48% Americans believe guns deter crime via attacker fear.
- Pew Research 2017: 72% of gun owners cite protection as main reason.
- 1995 Kleck/Gertz survey of 5,088: 1.3% households experienced DGU yearly.
- In 81.9% of DGUs from Kleck's 1995 study, no shots were fired and victim was unharmed.
- Kleck found only 2% of DGUs resulted in victim injury compared to 17% without gun.
- NCVS data shows armed victims 55% less likely to be injured than unarmed.
Surveys estimate guns are used defensively millions of times yearly, often prompting attacker flight and limiting injuries.
Related reading
Attacker Outcomes
Attacker Outcomes Interpretation
More related reading
Comparative Effectiveness
Comparative Effectiveness Interpretation
More related reading
Defensive Gun Use Incidence
Defensive Gun Use Incidence Interpretation
More related reading
Survey Data
Survey Data Interpretation
More related reading
Victim Outcomes
Victim Outcomes 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.
Marie Larsen. (2026, February 13). Gun Defense Statistics. Gitnux. https://gitnux.org/gun-defense-statistics
Marie Larsen. "Gun Defense Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/gun-defense-statistics.
Marie Larsen. 2026. "Gun Defense Statistics." Gitnux. https://gitnux.org/gun-defense-statistics.
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