THIS DATASET WAS LAST UPDATED AT 7:11 AM EASTERN ON DEC. 1

OVERVIEW

2019 had the most mass killings since at least the 1970s, according to the Associated Press/USA TODAY/Northeastern University Mass Killings Database.

In all, there were 45 mass killings, defined as when four or more people are killed excluding the perpetrator. Of those, 33 were mass shootings . This summer was especially violent, with three high-profile public mass shootings occurring in the span of just four weeks, leaving 38 killed and 66 injured.

A total of 229 people died in mass killings in 2019.

The AP's analysis found that more than 50% of the incidents were family annihilations, which is similar to prior years. Although they are far less common, the 9 public mass shootings during the year were the most deadly type of mass murder, resulting in 73 people's deaths, not including the assailants.

One-third of the offenders died at the scene of the killing or soon after, half from suicides.

About this Dataset

The Associated Press/USA TODAY/Northeastern University Mass Killings database tracks all U.S. homicides since 2006 involving four or more people killed (not including the offender) over a short period of time (24 hours) regardless of weapon, location, victim-offender relationship or motive. The database includes information on these and other characteristics concerning the incidents, offenders, and victims.

The AP/USA TODAY/Northeastern database represents the most complete tracking of mass murders by the above definition currently available. Other efforts, such as the Gun Violence Archive or Everytown for Gun Safety may include events that do not meet our criteria, but a review of these sites and others indicates that this database contains every event that matches the definition, including some not tracked by other organizations.

This data will be updated periodically and can be used as an ongoing resource to help cover these events.

Using this Dataset

To get basic counts of incidents of mass killings and mass shootings by year nationwide, use these queries:

Mass killings by year

Mass shootings by year

To get these counts just for your state:

Filter killings by state

Definition of "mass murder"

Mass murder is defined as the intentional killing of four or more victims by any means within a 24-hour period, excluding the deaths of unborn children and the offender(s). The standard of four or more dead was initially set by the FBI.

This definition does not exclude cases based on method (e.g., shootings only), type or motivation (e.g., public only), victim-offender relationship (e.g., strangers only), or number of locations (e.g., one). The time frame of 24 hours was chosen to eliminate conflation with spree killers, who kill multiple victims in quick succession in different locations or incidents, and to satisfy the traditional requirement of occurring in a “single incident.”

Offenders who commit mass murder during a spree (before or after committing additional homicides) are included in the database, and all victims within seven days of the mass murder are included in the victim count. Negligent homicides related to driving under the influence or accidental fires are excluded due to the lack of offender intent. Only incidents occurring within the 50 states and Washington D.C. are considered.

Methodology

Project researchers first identified potential incidents using the Federal Bureau of Investigation’s Supplementary Homicide Reports (SHR). Homicide incidents in the SHR were flagged as potential mass murder cases if four or more victims were reported on the same record, and the type of death was murder or non-negligent manslaughter.

Cases were subsequently verified utilizing media accounts, court documents, academic journal articles, books, and local law enforcement records obtained through Freedom of Information Act (FOIA) requests. Each data point was corroborated by multiple sources, which were compiled into a single document to assess the quality of information.

In case(s) of contradiction among sources, official law enforcement or court records were used, when available, followed by the most recent media or academic source.

Case information was subsequently compared with every other known mass murder database to ensure reliability and validity. Incidents listed in the SHR that could not be independently verified were excluded from the database.

Project researchers also conducted extensive searches for incidents not reported in the SHR during the time period, utilizing internet search engines, Lexis-Nexis, and Newspapers.com. Search terms include: [number] dead, [number] killed, [number] slain, [number] murdered, [number] homicide, mass murder, mass shooting, massacre, rampage, family killing, familicide, and arson murder. Offender, victim, and location names were also directly searched when available.

This project started at USA TODAY in 2012.

Contacts

Contact AP Data Editor Justin Myers with questions, suggestions or comments about this dataset at jmyers@ap.org. The Northeastern University researcher working with AP and USA TODAY is Professor James Alan Fox, who can be reached at j.fox@northeastern.edu or 617-416-4400.

Number and rate (per 100,000 population) of victims of solved homicides, by gender (all genders; male; female; gender unknown), Indigenous identity (total, homicide victims by Indigenous identity; Indigenous identity; non-Indigenous identity; unknown Indigenous identity) and type of accused-victim relationship, Canada, 2014 to 2024.

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2024.

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.

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.

Dataset Description:

This dataset contains crime statistics in India, categorized by State/Union Territory (STATE/UT) and District (DISTRICT) on a yearly basis (YEAR). It provides insights into various criminal activities reported across different regions of India.

Columns:

1. STATE/UT: The State or Union Territory where the crime was reported.
2. DISTRICT: The district within the State/UT where the crime was reported.
3. YEAR: The year when the crime was reported.
4. MURDER: Number of reported cases of murder.
5. ATTEMPT TO MURDER: Number of reported cases of attempted murder.
6. CULPABLE HOMICIDE NOT AMOUNTING TO MURDER: Number of reported cases of culpable homicide not amounting to murder.
7. RAPE: Number of reported cases of rape.
8. CUSTODIAL RAPE: Number of reported cases of custodial rape.
9. OTHER RAPE: Number of reported cases of rape other than custodial rape.
10. KIDNAPPING & ABDUCTION: Number of reported cases of kidnapping and abduction.
11. KIDNAPPING AND ABDUCTION OF WOMEN AND GIRLS: Number of reported cases of kidnapping and abduction of women and girls.
12. KIDNAPPING AND ABDUCTION OF OTHERS: Number of reported cases of kidnapping and abduction of others.
13. DACOITY: Number of reported cases of dacoity.
14. PREPARATION AND ASSEMBLY FOR DACOITY: Number of reported cases related to preparation and assembly for dacoity.
15. ROBBERY: Number of reported cases of robbery.
16. BURGLARY: Number of reported cases of burglary.
17. THEFT: Number of reported cases of theft.
18. AUTO THEFT: Number of reported cases of auto theft.
19. OTHER THEFT: Number of reported cases of other theft.
20. RIOTS: Number of reported cases of riots.
21. CRIMINAL BREACH OF TRUST: Number of reported cases of criminal breach of trust.
22. CHEATING: Number of reported cases of cheating.
23. COUNTERFIETING: Number of reported cases of counterfeiting.
24. ARSON: Number of reported cases of arson.
25. HURT/GREVIOUS HURT: Number of reported cases of hurt/grievous hurt.
26. DOWRY DEATHS: Number of reported cases of dowry deaths.
27. ASSAULT ON WOMEN WITH INTENT TO OUTRAGE HER MODESTY: Number of reported cases of assault on women with intent to outrage her modesty.
28. INSULT TO MODESTY OF WOMEN: Number of reported cases of insult to modesty of women.
29. CRUELTY BY HUSBAND OR HIS RELATIVES: Number of reported cases of cruelty by husband or his relatives.
30. IMPORTATION OF GIRLS FROM FOREIGN COUNTRIES: Number of reported cases of importation of girls from foreign countries.
31. CAUSING DEATH BY NEGLIGENCE: Number of reported cases of causing death by negligence.
32. OTHER IPC CRIMES: Number of reported cases of other IPC crimes.
33. TOTAL IPC CRIMES: Total number of reported IPC crimes.

Sadly, the trend of fatal police shootings in the United States seems to only be increasing, with a total 1,173 civilians having been shot, 248 of whom were Black, as of December 2024. In 2023, there were 1,164 fatal police shootings. Additionally, the rate of fatal police shootings among Black Americans was much higher than that for any other ethnicity, standing at 6.1 fatal shootings per million of the population per year between 2015 and 2024. Police brutality in the U.S. In recent years, particularly since the fatal shooting of Michael Brown in Ferguson, Missouri in 2014, police brutality has become a hot button issue in the United States. The number of homicides committed by police in the United States is often compared to those in countries such as England, where the number is significantly lower. Black Lives Matter The Black Lives Matter Movement, formed in 2013, has been a vocal part of the movement against police brutality in the U.S. by organizing “die-ins”, marches, and demonstrations in response to the killings of black men and women by police. While Black Lives Matter has become a controversial movement within the U.S., it has brought more attention to the number and frequency of police shootings of civilians.

This dataset contains information about femicide incidents in Turkey between 2008 and 2024. The data was scraped from Anıt Sayaç`(The Monument Counter), a digital memorial for women who lost their lives to violence.

Content

The dataset includes the following columns:

Name: The name of the victim.

Year: The year the incident occurred.

Age: The age of the victim (translated: Adult, Minor, Elderly, or numeric age).

City: The city in Turkey where the incident occurred.

District: The specific district (if available).

Reason: The reported motive (e.g., Wanting divorce, Jealousy, Suspicious death).

Perpetrator: The relationship of the killer to the victim (e.g., Husband, Ex-Boyfriend, Relative).

Protection_Order: Whether the victim had a protection order at the time.

Method_of_Killing: The weapon or method used.

Status: The current legal status of the perpetrator (e.g., Arrested, Suicide, Fugitive).

Source Link: The direct link to the victim's memorial page on Anıt Sayaç.

Acknowledgements

This data is entirely sourced from Anıt Sayaç (anitsayac.com). Please attribute the original source when using this data for research or visualization. The translation from Turkish to English was performed to make this critical social issue accessible to a global audience.

Findings from the analyses based on the Homicide Index recorded by the Home Office, including long-term trends, sex of the victim, apparent method of killing and relationship to victim.

Number of victims of spousal homicide, Canada and regions, 1997 to 2024.

In most countries, reliable national statistics on femicide, intimate partner femicide (IPF), and non-intimate partner femicide (NIPF) are not available. Surveys are required to collect robust data on this most extreme consequence of intimate partner violence (IPV). We analysed 3 national surveys to compare femicide, IPF, and NIPF from 1999 to 2017 using age-standardised rates (ASRs) and incidence rate ratios (IRRs).We conducted 3 national mortuary-based retrospective surveys using weighted cluster designs from proportionate random samples of medicolegal laboratories. We included females 14 years and older who were identified as having been murdered in South Africa in 1999 (n = 3,793), 2009 (n = 2,363), and 2017 (n = 2,407). Further information on the murdered cases were collected from crime dockets during interviews with police investigating officers. Our findings show that South Africa had an IPF rate of 4.9/100,000 female population in 2017. All forms of femicide among women 14 years and older declined from 1999 to 2017. For IPF, the ASR was 9.5/100,000 in 1999. Between 1999 and 2009, the decline for NIPF was greater than for IPF (IRR for NIPF 0.47 (95% confidence interval (CI) 0.42 to 0.53) compared to IRR for IPF 0.69 (95% CI 0.63 to 0.77). Rates declined from 2009 to 2017 and did not differ by femicide type. The decline in IPF was initially larger for women aged 14 to 29, and after 2009, it was more pronounced for those aged 30 to 44 years. Study limitations include missing data from the police and having to use imputation to account for missing perpetrator data.In this study, we observed a reduction in femicide overall and different patterns of change in IPF compared to NIPF. The explanation for the reductions may be due to social and policy interventions aimed at reducing IPV overall, coupled with increased social and economic stability. Our study shows that gender-based violence is preventable even in high-prevalence settings, and evidence-based prevention efforts must be intensified globally. We also show the value of dedicated surveys in the absence of functional information systems

Context

Pakistan Drone Attacks (2004-2016)

The United States has targeted militants in the Federally Administered Tribal Areas [FATA] and the province of Khyber Pakhtunkhwa [KPK] in Pakistan via its Predator and Reaper drone strikes since year 2004. Pakistan Body Count (www.PakistanBodyCount.org) is the oldest and most accurate running tally of drone strikes in Pakistan. The given database (PakistanDroneAttacks.CSV) has been populated by using majority of the data from Pakistan Body Count, and building up on it by canvassing open source newspapers, media reports, think tank analyses, and personal contacts in media and law enforcement agencies. We provide a count of the people killed and injured in drone strikes, including the ones who died later in hospitals or homes due to injuries caused or aggravated by drone strikes, making it the most authentic source for drone related data in this region.

We will keep releasing the updates every quarter at this page.

Content

Geography: Pakistan

Time period: 2004-2016

Unit of analysis: Attack

Dataset: The dataset contains detailed information of 397 drone attacks in Pakistan that killed an estimated 3,558 and injured 1,333 people including 2,539 civilians.

Variables: The dataset contains Serial No, Incident Day & Date, Approximate Time of the attack, Specific Location, City, Province, Number of people killed who claimed to be from Al-Qaeeda, Number of people killed who claimed to be from Taliban, minimum and maximum count of foreigners killed, minimum and maximum count of civilians killed, minimum and maximum count of civilians injured, special mention (more details) and comments about the attack, longitude and latitude of the location. Sources: Unclassified media articles, hospital reports, think tank analysis and reports, and government official press releases.

Acknowledgements & References

Pakistan Body Count has been leveraged extensively in scholarly publications, reports, media articles and books. The website and the dataset has been collected and curated by the founder Zeeshan-ul-hassan Usmani. Users are allowed to use, copy, distribute and cite the dataset as follows: “Zeeshan-ul-hassan Usmani, Pakistan Body Count, Drone Attacks Dataset, Kaggle Dataset Repository, Jan 25, 2017.”

Past Research

Zeeshan-ul-hassan Usmani and Hira Bashir, “The Impact of Drone Strikes in Pakistan”, Cost of War Project, Brown University, December 16, 2014

Inspiration

Some ideas worth exploring:

• How many people got killed and injured per year in last 12 years?

• How many attacks involved killing of actual terrorists from Al-Qaeeda and Taliban?

• How many attacks involved women and children?

• Visualize drone attacks on timeline

• Find out any correlation with number of drone attacks with specific date and time, for example, do we have more drone attacks in September?

• Find out any correlation with drone attacks and major global events (US funding to Pakistan and/or Afghanistan, Friendly talks with terrorist outfits by local or foreign government?)

• The number of drone attacks in Bush Vs Obama tenure?

• The number of drone attacks versus the global increase/decrease in terrorism?

• Correlation between number of drone strikes and suicide bombings in Pakistan

Questions?

For detailed visit www.PakistanBodyCount.org

Or contact Pakistan Body Count staff at info@pakistanbodycount.org

Zimbabwe ZW: Intentional Homicides: Female: per 100,000 Female data was reported at 2.041 Ratio in 2012. Zimbabwe ZW: Intentional Homicides: Female: per 100,000 Female data is updated yearly, averaging 2.041 Ratio from Dec 2012 (Median) to 2012, with 1 observations. Zimbabwe ZW: Intentional Homicides: Female: per 100,000 Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Health Statistics. Intentional homicides, female are estimates of unlawful female homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. Intentional homicide does not include all intentional killing; the difference is usually in the organization of the killing. Individuals or small groups usually commit homicide, whereas killing in armed conflict is usually committed by fairly cohesive groups of up to several hundred members and is thus usually excluded.; ; UN Office on Drugs and Crime's International Homicide Statistics database.; ;

Number of homicide victims and persons accused of homicide, by age group (total all ages; 0 to 11 years; 12 to 17 years; 18 to 24 years; 25 to 29 years; 30 to 39 years; 40 to 49 years; 50 to 59 years; 60 years and over; age unknown) and sex (both sexes; male; female; sex unknown), Canada, 1974 to 2017.

Context

This dataset contains data from 2010 to 2019 about various criminal activities in Bangladesh.

Content

The data represents different criminal activities and which unit took the case.

• Unit_Name: Police Unit from a different region

• Dacoity: The number of violent robberies by an armed gang that year under a specific police unit.

• Robber: The number of robberies that took place that year under a specific police unit.

• Murder: The number of murders that took place that year under a specific police unit.

• Speedy Trial: The number of criminal trials held after a minimal delay that year under a specific police unit.

• Riot: The number of riots that took place that year under a specific police unit.

• Women&Children_Represion: The number of women or children who faced domestic violence that year under a specific police unit.

• Kidnapping: The number of kidnappings that took place that year under a specific police unit.

• Police_Assult: The number of kidnappings that took place that year under a specific police unit.

• Burglary

• Theft

• Other_cases

• Arms_act

• Explosive_act

• Narcotic_act

• Smuggling

• Tot(arm+exp+nar+smu)

• Total

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?n

In 2023, Texas had the highest number of forcible rape cases in the United States, with 15,097 reported rapes. Delaware had the lowest number of reported forcible rape cases at 194. Number vs. rate It is perhaps unsurprising that Texas and California reported the highest number of rapes, as these states have the highest population of states in the U.S. When looking at the rape rate, or the number of rapes per 100,000 of the population, a very different picture is painted: Alaska was the state with the highest rape rate in the country in 2023, with California ranking as 30th in the nation. The prevalence of rape Rape and sexual assault are notorious for being underreported crimes, which means that the prevalence of sex crimes is likely much higher than what is reported. Additionally, more than a third of women worry about being sexually assaulted, and most sexual assaults are perpetrated by someone the victim knew.