In 2019, there were six deaths by homicide per 100,000 of the population in the United States, compared to 5.9 deaths by homicide in the previous year. This is an increase from 1950, when there were 5.1 deaths by homicide per 100,000 resident population in the United States. However, within the provided time period, the death rate for homicide in the U.S. was highest in 1980, when there were 10.4 deaths by homicide per 100,000 of the population in the United States.

Homicides in the United States

The term homicide is used when a human being is killed by another human being. Criminal homicide takes several forms, for example murder; but homicide is not always a crime, it also includes affirmative defense, insanity, self-defense or the execution of convicted criminals. In the United States, youth homicide has especially been seen as a problem of urban areas, due to poverty, limited adult supervision, involvement in drug and gang activities, and school failure. Both homicide rates and suicide rates in the U.S. among people aged 20 to 24 and teenagers aged 15 to 19 have vastly increased since 2001.

Number, rate and percentage changes in rates of homicide victims, Canada, provinces and territories, 1961 to 2024.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. The purpose of this research was to examine the influence of neighborhood social disorganization on the risk of homicide victimization, with focus on how community effects changed once individual-level characteristics were considered. This research integrated concepts from social disorganization theory, a neighborhood theory of criminal behavior, with concepts from lifestyle theory and individual theory of criminal behavior, by having examined the effects of both neighborhood-level predictors of disadvantage and individual attributes which may compel that person to behave in certain ways. The data for this secondary analysis project are from the 2004-2012 National Center for Health Statistics' (NCHS) National Health Interview Survey (NHIS) linked National Death Index-Multiple Causes of Death (MDC) data, which provided individual-level data on homicide mortality. Neighborhood-level (block group) characteristics of disadvantage that existed within each respondent's place of residence from the 2005-2009 and 2008-2012 American Community Surveys were integrated using restricted geographic identifiers from the NHIS. As a syntax-only study, data included as part of this collection includes 38 SAS Program (syntax) files that were used by the researcher in analyses of external restricted-use data. The data are not included because they are restricted archival data from the NHIS from the Centers for Disease Control and Prevention combined with publicly available American Community Survey (ACS) block group level data.

The objective was to assess the effect of age, period, and birth cohort on the time trend in mortality from homicides in men in the states of the Northeast and Southeast regions of Brazil from 1980 to 2014. This was an ecological time trend study. PCA models were estimated using estimable functions in inference of the parameters. Mortality and population data were obtained from the Brazilian Health Informatics Department. State-by-state mortality rates from homicide were standardized by the direct method, with the world population as the standard, as proposed by the World Health Organization. The Northeast region recorded 317,711 deaths from homicides and the Southeast 544,640 deaths, corresponding, respectively, corresponding to mean standardized rates of 58.68 and 64.68 deaths per 100,000 men. The highest mean standardized mortality rates were observed in the states of Alagoas (157.74 deaths) and Pernambuco (109.58 deaths). All the states showed an increase in mortality up to the third decade of life, with a progressive reduction in the other age brackets. There was an upward trend in all the states of the Northeast and in Minas Gerais and Espírito Santo in the Southeast, while in the other states there was a downward trend. All the states showed an increase in the risk of death in the younger age brackets, except for the state of São Paulo, which showed the inverse profile. The current study’s findings may correlate with the process of discontinuity in the cohort, in which members of wide cohorts found less opportunity for access to employment, income, and education, thus increasing the risk of involvement in crime and death from homicide.

In 2023, around 2,444 homicide victims in the United States were aged between 20 and 24 years old. A further 2,362 murder victims were between the ages of 30 and 34 years old. Most murder victims in the United States in 2023 were between the ages of 17 and 54 years old.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

Number and percentage of homicide victims, by type of firearm used to commit the homicide (total firearms; handgun; rifle or shotgun; fully automatic firearm; sawed-off rifle or shotgun; firearm-like weapons; other firearms, type unknown), Canada, 1974 to 2018.

Hazard ratios adjusted for age from Cox regression models based on 2′515′961 women older than 18 years living in eligible households in Switzerland. p values from log-likelihood ratio tests. CI; confidence intervals.

Abbreviations: CI, Confidence Interval; ICD, International Classification of Diseases; SMR, Standardized Mortality Ratio; SCCS, Southern Community Cohort StudyPanel A: Ratio of the directly standardized rate in the 12 SCCS states (Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Virginia, and West Virginia) to the directly standardized rate in the remaining 38 states.Panel B: Standardized mortality ratio of SCCS population relative to mortality rates in the 12 SCCS states.Rate ratios for external causes of death among the population age 40 and over in the 12 SCCS states, and in the SCCS population, by race and sex.

Number of homicide victims, by method used to commit the homicide (total methods used; shooting; stabbing; beating; strangulation; fire (burns or suffocation); other methods used; methods used unknown), Canada, 1974 to 2024.

This dataset contains counts of deaths for California counties based on information entered on death certificates. Final counts are derived from static data and include out-of-state deaths to California residents, whereas provisional counts are derived from incomplete and dynamic data. Provisional counts are based on the records available when the data was retrieved and may not represent all deaths that occurred during the time period. Deaths involving injuries from external or environmental forces, such as accidents, homicide and suicide, often require additional investigation that tends to delay certification of the cause and manner of death. This can result in significant under-reporting of these deaths in provisional data.

The final data tables include both deaths that occurred in each California county regardless of the place of residence (by occurrence) and deaths to residents of each California county (by residence), whereas the provisional data table only includes deaths that occurred in each county regardless of the place of residence (by occurrence). The data are reported as totals, as well as stratified by age, gender, race-ethnicity, and death place type. Deaths due to all causes (ALL) and selected underlying cause of death categories are provided. See temporal coverage for more information on which combinations are available for which years.

The cause of death categories are based solely on the underlying cause of death as coded by the International Classification of Diseases. The underlying cause of death is defined by the World Health Organization (WHO) as "the disease or injury which initiated the train of events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury." It is a single value assigned to each death based on the details as entered on the death certificate. When more than one cause is listed, the order in which they are listed can affect which cause is coded as the underlying cause. This means that similar events could be coded with different underlying causes of death depending on variations in how they were entered. Consequently, while underlying cause of death provides a convenient comparison between cause of death categories, it may not capture the full impact of each cause of death as it does not always take into account all conditions contributing to the death.

Nigeria is the fifth country in sub-Saharan Africa at risk of genocide. Worldwide, Nigeria ranked 12th as of 2024. The risk percentage of mass killing stood at 3.2 percent, dropping from 7.9 percent in the preceding year. Many different forms of violence and conflicts are often ongoing in Nigeria, mainly in the North due to the rooted presence of Boko Haram. In addition, different armed groups are operating in the country, like those in the Niger Delta and South-East Zone. Nevertheless, the source does not consider violence caused by those running conflicts and separatist movements as criteria for mass killings. Despite the high number of deaths caused by terrorism, these groups do not act against a particular group of civilians. According to the source, Nigeria's high position in the ranking is determined by criteria which include its large population of over 200 million people, its high child mortality rate, the ongoing battle-related deaths, the country's history of mass killing, and its degree of ethnic fractionalization.

Abbreviations: CI, Confidence Interval; CHC, Community Health Center; GP, General Population; HR, Hazard Ratio; ICD, International Classification of Diseases.aHazard Ratios adjusted for age (as time-scale), race, sex, enrollment source, alcohol use, depression, smoking, income, education, marital status, employment status, BMI, height, comorbidity index, faith comfort.bResponse to question, “Has a doctor ever told you that you have depression or have you been treated for depression?”cHazard ratio is undefined – no deaths from homicide in the general population enrollees.dResponse to question, “How much is religion, faith, or God a source of strength and comfort to you?”Hazard ratios for risk of death by specific causes corresponding to demographic, health-related, and lifestyle variables in the Southern Community Cohort Study.

California reported the largest number of homicides to the FBI in 2023, at 1,929 for the year. Texas recorded the second-highest number of murders, with 1,845 for the year. Homicide victim demographics There were a total of 19,252 reported homicide cases in the U.S. in 2023. When looking at murder victims by gender and ethnicity, the vast majority were male, while just over half of the victims were Black or African American. In addition, homicide victims in the United States were found most likely to be between the ages of 20 and 34 years old, with the majority of victims aged between 17 to 54 years old. Are murders up? In short, no – since the 1990s the number of murders in the U.S. has decreased significantly. In 1990, the murder rate per 100,000 people stood at 9.4, and stood at 5.7 in 2023. It should be noted though that the number of homicides increased slightly from 2014 to 2017, although figures declined again in 2018 and 2019, before ticking up once more in 2020 and 2021. Despite this decline, when viewed in international comparison, the U.S. murder rate is still notably high. For example, the Canadian homicide rate stood at 1.94 in 2023, while the homicide rate in England and Wales was even lower.

Victims of gang-related homicides (total number of homicide victims; number of homicide victims - unknown gang-relation; number of homicide victims - known gang relation; number of gang-related homicide victims; percentage of gang-related homicide victims; rate (per 100,000 population) of gang-related homicide victims), Canada and regions, 1999 to 2024.

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

In 2023, the FBI reported that there were 13,789 victims of murder who identified as male, compared to 3,849 victims of murder who identified as female in the United States. A further 75 murder victims were of an unknown gender in that year.

The graph illustrates the number of deaths per day in the United States from 1950 to 2025. The x-axis represents the years, abbreviated from '50 to '24, while the y-axis indicates the daily number of deaths. Over this 75-year period, the number of deaths per day ranges from a low of 4,054 in 1950 to a high of 9,570 in 2021. Notable figures include 6,855 deaths in 2010 and 8,333 in 2024. The data shows a general upward trend in daily deaths over the decades, with recent years experiencing some fluctuations. This information is presented in a line graph format, effectively highlighting the long-term trends and yearly variations in daily deaths across the United States.

Abstract (en): The Home Safety Project was a population-based case control study of homicide in the home with control households matched to cases by victim age range, race, gender, and neighborhood (a proxy for socioeconomic status). The study was conducted in the following locations: Shelby County, Tennessee (August 23, 1987-August 23, 1992), King County, Washington (August 23, 1987-August 23, 1992), and Cuyahoga County, Ohio (January 1, 1990-August 23, 1992). The purpose of the data collection was to study risk and protective factors for homicide in the home and to identify individual and household factors associated with homicide (both behavioral and environmental). Respondents were asked a series of questions related to alcohol consumption, such as whether drinking ever created problems between household members, whether any household members had had trouble at work because of drinking, whether any physical fights or other violence had occurred in the home or outside the home due to drinking, and whether any injuries or hospital stays had resulted from drinking/fighting episodes. Additional queries covered whether any adult in the household had ever been arrested for any reason, whether anyone in the household used illicit drugs, and, if so, which ones. Questions on home safety features included whether the home had a burglar alarm, bars on the windows, exterior door deadbolt, security door, dogs, and any restricted access to the residence. Items on gun ownership covered whether there were any guns in the home and, if so, what type. Information also was elicited on the homicide that had taken place in the home, including whether the suspect was intimate with the victim, whether there was evidence of forced entry or entry without consent, whether the victim attempted to resist, and the respondent's assumption of the method of death as well as the medical examiner's determination. Demographic information includes victims' age, sex, and race, and respondents' age and sex. The unit of analysis is individual cases of homicide. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. All homicides in homes that involved residents of the three study counties (Shelby County, Tennessee, King County, Washington, and Cuyahoga County, Ohio) during the study interval. Any death that was ruled a homicide was included, regardless of method. Assaults were included if the victim died within three months due to injury. 2006-03-30 File CB6898.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2005-11-04 On 2005-03-14 new files were added to one or more datasets. These files included additional setup files as well as one or more of the following: SAS program, SAS transport, SPSS portable, and Stata system files. The metadata record was revised 2005-11-04 to reflect these additions.1997-11-18 One variable was recoded in Part 1, Homicide Data, and corresponding changes were made to the codebook and data definition statements. Also, in the codebook and data definition statements, several value labels were changed and the order of two variables was switched. Funding insitution(s): United States Department of Health and Human Services. Centers for Disease Control and Prevention (CCR 402424 and CCR 403519). All individual identifiers were removed by the principal investigators to protect confidentiality.

Male and female homicide rates in South African 2017 mortuary survey (weighted), compared to global rates from the Global Burden of Disease (GBD) study, 2017, [9] by external cause of death and age.