Evidence map›Paper›PMID 40014342›Full record

ArticleJAMA network open2025

Homicide Rates Across County, Race, Ethnicity, Age, and Sex in the US: A Global Burden of Disease Study.

GBD US Health Disparities Collaborators, Paula D Strassle, Parkes Kendrick, Mathew M Baumann, Yekaterina O Kelly, Zhuochen Li, Chris Schmidt, Dillon O Sylte, Kelly Compton, Gregory J Bertolacci and 9 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Black Femicide in the U.S.: The Ultimate Health Disparity.Journal of racial and ethnic health disparities · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

GBD US Health Disparities Collaborators
Paula D StrassleDivision of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland.
Parkes KendrickInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Mathew M BaumannInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Yekaterina O KellyInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Zhuochen LiInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Chris SchmidtInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Dillon O SylteInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Kelly ComptonInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Gregory J BertolacciInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Wichada La Motte-KerrInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Farah DaoudInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Mohsen NaghaviInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Erik J RodriquezEpidemiology and Community Health Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
George A MensahCenter for Translation Research and Implementation Science, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
Christopher J L MurrayInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Ali H MokdadInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Laura Dwyer-LindgrenInstitute for Health Metrics and Evaluation, University of Washington, Seattle.
Eliseo J Pérez-StableEpidemiology and Community Health Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Homicide is one of the leading causes of death in the US, especially among adolescents and adults younger than 45 years. While geographic, racial and ethnic, and sex differences in homicide rates have been documented, a comprehensive assessment across all sociodemographics is needed. Objective: To assess variation in US homicide rates from 2000 to 2019 across geographic location, race and ethnicity, sex, and age. Design, Setting, and Participants: This cross-sectional study used deidentified death records from the National Vital Statistics System and population estimates from the National Center for Health Statistics for all individuals living in the US from January 1, 2000, to December 31, 2019. Data analysis was completed in April 2023. Exposure: County, race and ethnicity (American Indian or Alaska Native, Asian or Pacific Islander, Black, Hispanic or Latino, and White), age (0-14, 15-24, 25-44, 45-64, and ≥65 years), and sex (female and male) as reported on death certificates. Main Outcomes and Measures: The main outcome was homicide rates per 100 000 individuals. Validated small-area estimation models were used to estimate county-level homicide rates by race and ethnicity, age, and sex (50 unique populations). Estimates were corrected for race and ethnicity misclassification on death certificates and were age standardized. Results: Between 2000 and 2019, there were 367 827 (95% uncertainty interval [UI], 366 683-369 046) homicides in the US, with decedents most commonly being male (77.7% [95% UI, 77.5%-77.8%]), aged 15 to 44 years (69.8% [95% UI, 69.6%-69.9%]), and Black (46.0% [95% UI, 45.5%-46.5%]). The highest homicide rates were among Black males aged 15 to 24 years (74.6 [95% UI, 72.3-77.0] per 100 000 population) and 25 to 44 years (70.0 [95% UI, 68.4-71.4] per 100 000 population) followed by American Indian and Alaska Native males aged 15 to 24 years (24.5 [95% UI, 19.2-31.0] per 100 000 population) and 25 to 44 years (33.5 [95% UI, 28.6-38.8] per 100 000 population). Homicide rates higher than 100 deaths per 100 000 population among American Indian or Alaska Native or Black males aged 15 to 44 years were observed in 143 counties; more than 25% of counties with this homicide level among Black males were in Arkansas, Louisiana, and Mississippi, and all counties with this homicide level among American Indian or Alaska Native males were in North Carolina. Despite national homicide rates remaining stable over the study period (6.1 [95% UI, 6.0-6.2] per 100 000 population for both years; incidence rate difference, 0.04 [95% UI, -0.16 to 0.07]), homicide rates increased in most counties (range, 1631 of 3051 [53.5%] to 1406 of 1488 [94.5%]) among American Indian or Alaska Native, Black, and White males and females younger than 65 years. Conclusions and Relevance: In this cross-sectional study of US homicide rates, substantial variation was found across and within county, race and ethnicity, sex, and age groups; American Indian and Alaska Native and Black males aged 15 to 44 years had the highest rates of homicide. The findings highlight several populations and places where homicide rates were high, but awareness and violence prevention remains limited.

Indexed as

EthnicityHomicideRacial GroupsAdolescentAdultAgedAge DistributionChildChild, PreschoolCross-Sectional StudiesFemaleGlobal Burden of DiseaseHumansInfantInfant, NewbornMale

Identifiers

PMID40014342
PMCPMC11868975

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.