Statistical Analysis · Primary Sources

Mass Shootings by Demographic

Per-capita rates, socioeconomic confounders, and confidence intervals for every racial/ethnic group and gender — using Violence Project data (N=172, 1966–2024) under strict FBI-adjacent definitions.

Per-Capita Rate Comparison — All Groups (shooters per 100k, strict definition)
White (non-Hisp.)
0.046/100k
Black (non-Hisp.)
0.077/100k
Hispanic/Latino
0.021/100k
Asian (non-Hisp.)
0.048/100k
Native American
0.063/100k*
Foreign-Born
~proportional
Male
0.101/100k
% of U.S. population
Per-capita rate (scaled)
* N=3, wide CI — click for details
Data quality notice — Primary source: Violence Project database (N=172 incidents, 1966–2024, strict definition: 4+ killed, public location, no gang/domestic). Of 172 total shooters, only 154 have confirmed racial categorization — 18 remain unknown. Native American n=3 produces unreliable estimates. Immigrant data drawn from separate dataset (N=298). Click any group for full methodology.
White (Non-Hispanic)
Largest group in both population and raw shooter count. Per-capita rate is essentially proportional to population share.
PROPORTIONAL
~1.0× expected
Shooter Count
90
of 154 categorized (58.4%)
Pop. Share
57.8%
2020 Census
Per Capita
0.046
per 100,000
95% CI: 0.037–0.057
Rate Ratio
~1.0×
vs. national avg
White vs. National Context
Pop. share
57.8%
Shooter share
58.4%
Per capita (rel.)
0.046
Key Findings

White non-Hispanic Americans commit mass shootings in almost exact proportion to their population share. The 58.4% shooter share vs. 57.8% population share difference is statistically negligible.

The 95% confidence interval (0.037–0.057) overlaps substantially with Asian Americans (0.024–0.086), meaning the difference between White and Asian rates is not statistically significant.

Raw count dominance (90 shooters) reflects population size, not elevated individual risk. This is a critical distinction often lost in media coverage.

Socioeconomic Context
Poverty Rate
9.1%
Below national avg
Unemployment
3.6%
Near national avg
Median HH Income
$74k
2022 Census est.
Incarceration
188/100k
BJS 2021
Debunked Claims
⚠ Debunked
"97% of mass shooters are White"
This figure originated from cherry-picked pre-2010 data and non-standard definitions. Under the Violence Project's strict methodology covering 1966–2024, White shooters account for ~52–58% — proportional to their population share.
Steelman Arguments
Pro-Systemic
White men's overrepresentation in specific subtypes (school, workplace, ideologically-motivated) may reflect cultural factors around entitlement, status threat, and access to firearms in rural/suburban contexts.
Pro-Individual
The proportionality finding suggests no systemic racial predisposition — individual mental health, grievance, and access to firearms are the primary drivers regardless of race.
Sources
  • Peterson, J. & Densley, J. — The Violence Project Database (2024)
  • U.S. Census Bureau — 2020 Decennial Census racial/ethnic data
  • Mother Jones — Mass Shootings Database (1982–2024)
Black (Non-Hispanic)
Statistically elevated per-capita rate under strict definition, but confidence intervals overlap with White and Asian groups. Socioeconomic confounders are substantial.
ELEVATED
~1.7× expected rate
Shooter Count
36
of 154 categorized (23.4%)
Pop. Share
13.7%
2020 Census
Per Capita
0.077
per 100,000
95% CI: 0.054–0.107
Rate Ratio
~1.7×
vs. White rate
Black vs. National Context
Pop. share
13.7%
Shooter share
23.4%
Per capita (rel.)
0.077
Key Findings

Under the strict Violence Project definition, Black Americans account for 23.4% of shooters vs. 13.7% of population — a per-capita rate approximately 1.7× the White rate.

However, the 95% confidence intervals for Black (0.054–0.107) and White (0.037–0.057) rates do overlap, meaning the difference may not reach conventional statistical significance thresholds.

Definition sensitivity is critical here: under the broad Gun Violence Archive definition (4+ shot, including gang violence), Black representation rises dramatically — reflecting different social dynamics than public mass shootings.

The elevated rate cannot be interpreted as a racial cause without controlling for poverty, incarceration history, neighborhood disadvantage, and historical structural factors.

Socioeconomic Context
Poverty Rate
17.2%
Nearly 2× White rate
Unemployment
6.1%
2× White rate
Median HH Income
$48k
vs. $74k White
Incarceration
911/100k
4.8× White rate
Debunked Claims
⚠ Debunked
"Black people commit most mass shootings"
False under strict definitions. This claim relies on the broad GVA definition which includes gang shootings, drive-bys, and domestic incidents — fundamentally different events from public mass shootings. Under Violence Project strict criteria, White Americans have the highest raw count.
Steelman Arguments
Pro-Systemic
Structural racism, concentrated poverty, over-policing, mass incarceration, and historical disinvestment in Black communities create risk conditions. Studies controlling for poverty and neighborhood disadvantage significantly reduce or eliminate racial disparities in violence.
Pro-Individual
Culture, community norms, and individual choices also play a role. Not all communities with high poverty rates have elevated violence — suggesting socioeconomic factors alone are insufficient explanations.
Sources
  • Violence Project Database (Peterson & Densley, 2024) — primary dataset
  • Bureau of Justice Statistics — Incarceration data 2021
  • U.S. Census Bureau ACS 2022 — income and poverty data
  • Sampson, R.J. et al. — "Neighborhoods and Violent Crime" — Science (1997)
Hispanic / Latino
Strongly underrepresented relative to population share. The "Hispanic poverty paradox" — high poverty yet lowest mass shooting rate — challenges purely economic explanations.
UNDERREPRESENTED
~0.45× expected rate
Shooter Count
14
of 154 categorized (9.1%)
Pop. Share
19.3%
2020 Census (all Hisp.)
Per Capita
0.021
per 100,000
95% CI: 0.011–0.035
Rate Ratio
~0.45×
vs. White rate
Hispanic vs. National Context
Pop. share
19.3%
Shooter share
9.1%
Per capita (rel.)
0.021
The Hispanic Poverty Paradox

Hispanic Americans have a poverty rate (19.3%) that exceeds the Black poverty rate (17.2%), yet they have the lowest per-capita mass shooting rate of any major racial group at 0.021/100k — less than half the White rate.

This "paradox" directly challenges the hypothesis that poverty is the primary driver of mass shootings. If economic deprivation were the main cause, Hispanic rates would be expected to be among the highest, not the lowest.

Proposed explanations include strong family cohesion ("familismo"), community ties, cultural attitudes toward violence, and high religiosity. These findings suggest cultural and social factors may be more predictive than economic status alone.

Socioeconomic Context
Poverty Rate
19.3%
Highest of major groups
Unemployment
5.1%
Above White rate
Median HH Income
$55k
vs. $74k White
Incarceration
426/100k
2.3× White rate
Classification Note
⚠ Methodology
Hispanic/Latino is an ethnicity, not a race, and can overlap with White, Black, or other racial categories. Some databases categorize Hispanic shooters under their racial group (White-Hispanic, Black-Hispanic), potentially undercounting or overcounting depending on methodology. The Violence Project separates Hispanic as a distinct category.
Sources
  • Violence Project Database — N=14 Hispanic/Latino shooters, 1966–2024
  • Markides K.S. & Coreil J. — "Hispanic Health Paradox" — Public Health Reports (1986)
  • U.S. Census Bureau ACS 2022
Asian (Non-Hispanic)
Roughly proportional to population share. Per-capita rate similar to White Americans. Wide confidence intervals mean differences between groups are not statistically significant.
PROPORTIONAL
~1.05× expected
Shooter Count
11
of 154 categorized (7.1%)
Pop. Share
6.2%
2020 Census
Per Capita
0.048
per 100,000
95% CI: 0.024–0.086
Rate Ratio
~1.05×
vs. White rate
Asian vs. National Context
Pop. share
6.2%
Shooter share
7.1%
Per capita (rel.)
0.048
Key Findings

Asian Americans are represented in mass shootings at roughly their population rate. The per-capita rate of 0.048 is nearly identical to White Americans (0.046), and the confidence intervals overlap substantially.

The wide CI (0.024–0.086) due to small N means any apparent difference between Asian and other groups should be interpreted cautiously. Statistical significance cannot be established for pairwise comparisons.

Notable high-profile cases (Virginia Tech 2007, Monterey Park 2023, Half Moon Bay 2023) have elevated public attention but should not distort interpretation of base rates.

Socioeconomic Context
Poverty Rate
11.6%
Above White, below Black
Unemployment
3.5%
Similar to White
Median HH Income
$100k+
Highest of any group
Incarceration
71/100k
Lowest of any group
Sources
  • Violence Project Database — N=11 Asian shooters, 1966–2024
  • U.S. Census Bureau ACS 2022
  • Pew Research Center — "The Rise of Asian Americans" (2021)
Native American / Alaska Native
N=3 in the Violence Project dataset. Any per-capita estimate carries an extremely wide confidence interval. No statistically valid conclusions can be drawn.
INSUFFICIENT DATA
N=3, CI too wide
Shooter Count
3
of 154 categorized (1.9%)
Pop. Share
1.3%
2020 Census
Per Capita (est.)
0.063
per 100,000 — UNRELIABLE
95% CI: 0.013–0.184
CI Width
14×
lower to upper bound
Why No Conclusions Are Possible

With only 3 cases over 58 years, the 95% confidence interval spans from 0.013 to 0.184 — a 14-fold range. The true rate could be among the lowest of any group, or among the highest, and the data cannot distinguish between these possibilities.

A single additional case would substantially change the estimate. This is not a data quality problem but a fundamental statistical limitation when base populations are small.

Any media report, political argument, or research paper drawing conclusions about Native American mass shooting rates from this data should be treated with extreme skepticism.

Socioeconomic Context (Documented)
Poverty Rate
23.2%
Highest of any group
Unemployment
5–10%
Varies significantly
Incarceration
801/100k
Among highest rates
Missing/Murdered
High
Serious underreporting
Data Limitation Notice
⚠ Critical Limitation
The 95% CI of 0.013–0.184 means the true per-capita rate is 14× uncertain. Any claim that Native Americans are "overrepresented" or "underrepresented" in mass shootings is not supported by available data. This section is included for completeness and to demonstrate the importance of acknowledging statistical uncertainty.
Immigrants / Foreign-Born
Foreign-born Americans are represented in mass shootings in direct proportion to their population share. Native-born Americans have a dramatically higher per-capita risk.
PROPORTIONAL
Exactly at pop. share
Foreign-Born Shooters
43
of 298 cases (14.4%)
Foreign-Born Pop.
13.9%
ACS 2022
Native-Born Rate
6.5×
higher per-capita
Undocumented Data
N/A
No reliable dataset exists
Immigrant vs. Native-Born
Pop. share (FB)
13.9%
Shooter share (FB)
14.4%
Relative risk (NB)
6.5× higher
Key Findings

Foreign-born Americans account for 14.4% of mass shooters vs. 13.9% of the population — an essentially perfect match. The 0.5 percentage point difference is not statistically meaningful.

Expressed differently: 1 in 68.4 million foreign-born Americans has committed a mass shooting; among native-born Americans, the rate is 1 in 10.5 million — approximately 6.5× higher.

This finding is robust across multiple datasets and is consistent with broader criminological research showing that immigrants have lower crime rates than native-born populations.

No reliable dataset on undocumented immigrants specifically exists. Claims about undocumented immigrant mass shooters cannot be verified or refuted with available data.

Note on Dataset Difference
⚠ Methodology
The immigrant data comes from a different dataset (N=298) than the racial breakdown data (N=172/154). This is because nativity data is available for more cases than racial categorization. The two datasets use slightly different time periods and criteria. Direct rate comparisons between immigrant status and racial group data should be made cautiously.
Debunked Claims
⚠ Debunked
"Undocumented immigrants drive mass shootings"
No credible data supports this. Even among all foreign-born individuals, mass shooting rates exactly match their population share. The claim conflates general crime statistics (contested) with mass shooting data (clear). There is zero evidence that undocumented status specifically elevates mass shooting risk.
Sources
  • Violence Project / extended database — N=298, nativity coding
  • Cato Institute — "Illegal Immigrants and Crime" (2020)
  • U.S. Census Bureau ACS 2022 — Foreign-born population data
  • Ousey G.C. & Kubrin C.E. — Immigration and Crime meta-analysis (2018)
Gender
The most extreme demographic disparity in mass shootings. Males are ~44× more likely per-capita than females. This dwarfs all racial/ethnic disparities.
EXTREME DISPARITY
Males ~44× female rate
Male Shooters
168
of 172 total (97.7%)
Female Shooters
4
of 172 total (2.3%)
Male Per Capita
0.101
per 100,000 males
Disparity Ratio
~44×
Male vs. female rate
Gender Breakdown
Pop. share (male)
49.5%
Shooter share (male)
97.7%
Rate ratio (rel.)
44× female
Key Findings

The gender disparity in mass shootings (44×) is far larger than any racial disparity (maximum ~1.7×). If race were the primary variable of interest, researchers would need to explain why they are more focused on a 1.7× disparity than a 44× disparity.

168 of 172 mass shooters identified in the Violence Project were male. This finding is consistent across all datasets, time periods, and definitions — it is one of the most robust findings in the literature.

The female per-capita rate is approximately 0.0023/100k — vanishingly small. Female mass shooting perpetration is so rare it is difficult to draw statistical conclusions about patterns.

This finding persists across all racial groups — Black, White, Hispanic, and Asian male rates all far exceed their respective female rates.

Proposed Explanations

Research points to multiple interacting factors: testosterone and aggression biology; socialization into masculine norms of dominance, status, and entitlement; grievance cultures among males; access to and familiarity with firearms; and the role of status threat and perceived humiliation in male perpetrators' reported motivations.

No single explanation is sufficient, and researchers debate the relative contribution of biological vs. social factors.

Sources
  • Violence Project Database — 168M/4F of 172 total (1966–2024)
  • Kimmel M. — "Angry White Men" (2013) — masculinity and mass violence
  • Lankford A. — "Public Mass Shooters and Firearms" (2016)
Transgender Perpetrators
Extremely rare in absolute terms. Documented cases: 3–6 depending on definition. Per-capita rate cannot be reliably calculated due to uncertain population denominator.
INSUFFICIENT DATA
N=3–6, no valid denom.
Documented Cases
3–6
Depending on definition/source
Trans Pop. Estimate
~1.6M
Williams Institute 2022
% of All Shooters
<2%
Upper bound estimate
Reliable CI
N/A
Too few cases
Documented Cases

Confirmed trans-identified mass shooters since 2018 (strict definition: 4+ killed): Audrey Hale — Nashville Covenant School (2023, 6 killed); Anderson Lee Aldrich — Club Q, Colorado Springs (2022, 5 killed; identified as non-binary after arrest). Additional cases exist under broader definitions.

The absolute rarity of these events makes per-capita rate comparison nearly impossible. The transgender population is estimated at 0.5–1.6% of adults, but survey methodology varies significantly, creating denominator uncertainty that produces CI ranges spanning orders of magnitude.

What The Data Cannot Support
⚠ Statistical Limitation
With N=3–6 and a highly uncertain population denominator (estimates range from 700k to 2.5M), no reliable per-capita rate can be calculated. Claims that transgender people are "overrepresented" or "underrepresented" are not statistically supportable. Media narratives in both directions exceed what the data permits.
Context: Trans People as Victims

While trans perpetration is rare, trans people are significantly more likely to be victims of violence. The HRC Transgender Violence Tracking Project documented 32 homicides of trans/gender-nonconforming people in 2022 alone. The victimization rate substantially exceeds the perpetration rate.

Any discussion of trans people and violence that focuses only on perpetration without acknowledging victimization presents an incomplete picture.

Debunked Claims
⚠ Debunked
"Trans people are responsible for a wave of mass shootings"
False. The absolute number of trans mass shooters is 3–6 out of 172+ total. This represents less than 2% of cases — not a "wave." Such framing exploits public attention on rare high-profile cases to misrepresent statistical reality.
Extended Analysis

For a more detailed analysis of transgender perpetrators, methodology, and the full statistical breakdown, see our dedicated Trans Shooters deep-dive page.

Sources
  • Williams Institute UCLA — "LGBT People in the US" (2022)
  • HRC Foundation — Transgender Violence Tracking Project (2022)
  • Violence Project Database — case-level review for trans identification
  • Mother Jones Mass Shooting Database — supplementary verification
Support Our Work

If you value data-driven fact-checking, consider supporting TruthBased.org. Every contribution helps us research and publish more articles.

☕ Support on Ko-fi ♥ Liberapay (via PayPal)

Accepts Google Pay, Apple Pay, PayPal, and credit/debit cards

Donate with Crypto

We use Binance — Binance-to-Binance transfers are fee-free and instant. Scan the QR code or copy the address.

QR code for Ethereum / BSC / OPBNB (All EVM Chains)
Ethereum / BSC / OPBNB (All EVM Chains) 0xb39106930b8c29536a6505274f4cc8b4c3b06569 Send ETH, BNB, USDT, USDC, or any ERC-20/BEP-20 token. Same address works on Ethereum, BSC, and OPBNB.
QR code for Bitcoin (BTC)
Bitcoin (BTC) 1NB5zA3352iHkAQbsQgSZNPXNidW1pW54i
QR code for Solana (SOL & SPL Tokens)
Solana (SOL & SPL Tokens) EWF1hbTyRbXZw2ZNr1qo8YUYUT6z5vwZrSLC8umncL5K
QR code for XRP (XRP Ledger)
XRP (XRP Ledger) rNxp4h8apvRis6mJf9Sh8C6iRxfrDWN7AV
⚠ Memo (required): 488087572 Both address AND memo are required or funds will be lost.
QR code for Litecoin (LTC)
Litecoin (LTC) LS6yUqARHBE1tk2mcpjNbw2xNamyWQQD1h
QR code for Stellar (XLM)
Stellar (XLM) GABFQIK63R2NETJM7T673EAMZN4RJLLGP3OFUEJU5SZVTGWUKULZJNL6
⚠ Memo (required): 392701693 Both address AND memo are required or funds will be lost.
QR code for USDT (Tron / TRC-20)
USDT (Tron / TRC-20) TLkvs7NtMEKGoQ8s8KkShurZEe2Y6NXZQH Send USDT only on the Tron network.

⚠ Always verify the network before sending. Wrong network = possible permanent loss. Send a small test amount first.

Enlarged QR code Tap anywhere to close