The rate of fatal police shootings in the United States shows large differences based on ethnicity. Among Black Americans, the rate of fatal police shootings between 2015 and December 2024 stood at 6.1 per million of the population per year, while for white Americans, the rate stood at 2.4 fatal police shootings per million of the population per year. Police brutality in the United States Police brutality is a major issue in the United States, but recently saw a spike in online awareness and protests following the murder of George Floyd, an African American who was killed by a Minneapolis police officer. Just a few months before, Breonna Taylor was fatally shot in her apartment when Louisville police officers forced entry into her apartment. Despite the repeated fatal police shootings across the country, police accountability has not been adequate according to many Americans. A majority of Black Americans thought that police officers were not held accountable for their misconduct, while less than half of White Americans thought the same. Political opinions Not only are there differences in opinion between ethnicities on police brutality, but there are also major differences between political parties. A majority of Democrats in the United States thought that police officers were not held accountable for their misconduct, while a majority of Republicans that they were held accountable. Despite opposing views on police accountability, both Democrats and Republicans agree that police should be required to be trained in nonviolent alternatives to deadly force.

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.

As of November 17, 277 Black people were killed by the police in the United States in 2024. This compares to 201 Hispanic people and 445 white people. The rate of police shootings of Black Americans is much higher than any other ethnicity, at 6.2 per million people. This rate stands at 2.8 per million for Hispanic people and 2.4 per million for white people.

The killing of Tyre Nichols in January 2023 by Memphis Police Officers has reignited debates about police brutality in the United States. Between 2013 and 2024, over 1,000 people have been killed by police in every year. Some of the most infamous examples include the murder of George Floyd in May 2020, and the shooting of Breonna Taylor earlier that year. Within this time period, the most people killed by police in the United States was in 2023, at 1,353 people. Police Violence in the U.S. Police violence is defined as any instance where a police officer’s use of force results in a civilian’s death, regardless of whether it is considered justified by the law. While many people killed by police in the U.S. were shot, other causes of death have included tasers, vehicles, and physical restraints or beatings. In the United States, the rate of police shootings is much higher for Black Americans than it is for any other ethnicity and recent incidents of police killing unarmed Black men and women in the United States have led to widespread protests against police brutality, particularly towards communities of color. America’s Persistent Police Problem Despite increasing visibility surrounding police violence in recent years, police killings have continued to occur in the United States at a consistently high rate. In comparison to other countries, police in the U.S. have killed people at a rate three times higher than police in Canada, and 60 times the rate of police in England. While U.S. police have killed people in almost all 50 states, as well as the District of Columbia, New Mexico was reported to have the highest rate of people killed by the police in the United States, with 8.03 people per million inhabitants killed by police.

Values are: posterior mean (posterior standard deviation) of the regression coefficients. The symbol log referes to the natural logarithm. Pop refers to absolute population size. Pct. B. refers to the percentage of the county population that is black. Md. In. refers to median income. Gini refers to the Gini index of inequality. GRP refers to the Google search racism proxy. W. Ast and B. Ast refer to the white- and black-specific arrest rates for assualt, respectively. W. Wps and B. Wps refer to the white- and black-specific arrest rates for weapons violations, respectively. Posterior probabilty that a postive regression coeffcient is less than zero (or a negative one greater than zero) is coded as: * indicates a probability between 0.10 and 0.05, ** indicates a probability between 0.05 and 0.01, and *** indicates a probability of 0.01 or less.

Following racially charged events, individuals often diverge in perceptions of what happened and how justice should be served. Examining data gathered shortly after the 2014 shooting of Michael Brown in Ferguson, Missouri alongside reactions to a novel officer-involved shooting, we unpack the processes by which racial divisions emerge. Even in a controlled information environment, White Americans preferred information that supported claims of a justified shooting. Conversely, Black Americans preferred information that implied the officer behaved inappropriately. These differences stemmed from two distinct processes: we find some evidence for a form of race-based motivated reasoning and strong evidence for belief updating based on racially distinct priors. Differences in summary judgments were larger when individuals identified strongly with their racial group or when expectations about the typical behaviors of Black Americans and police diverged. The findings elucidate processes whereby individuals in different social groups come to accept differing narratives about contentious events. (2020-09-04)

In 2020, **** percent of full-time sworn officers in local police departments in the United States were white, followed by **** percent who were Hispanic.

This is five years of police use of force data for all 468 New Jersey municipal police departments and the New Jersey State Police compiled by NJ Advance Media for The Force Report.

When police punch, pepper spray or use other force against someone in New Jersey, they are required to fill out a form detailing what happened. NJ Advance Media filed 506 public records requests and received 72,607 forms covering 2012 through 2016. For more data collection details, see our Methodology here. Data cleaning details can be found here.

We then cleaned, analyzed and compiled the data by department to get a better look at what departments were using the most force, what type of force they were using, and who they were using it on. The result, our searchable database, can be found at NJ.com/force. But we wanted to make department-level results — our aggregate data — available in another way to the broader public.

Below you'll find two files:

• UOF_BY_DEPARTMENTS.csv, with every department's summary data, including the State Police. (This is important to note because the State Police patrols multiple towns and may not be comparable to other departments.)
• UOF_STATEWIDE.csv, a statewide summary of the same data.

For more details on individual columns, see the data dictionary for UOF_BY_DEPARTMENTS. We have also created sample SQL queries to make it easy for users to quickly find their town or county.

It's important to note that these forms were self-reported by police officers, sometimes filled out by hand, so even our data cleaning can't totally prevent inaccuracies from cropping up. We've also included comparisons to population data (from the Census) and arrest data (from the FBI Uniform Crime Report), to try to help give context to what you're seeing.

What about the form-level data?

We have included individual incidents on each department page, but we are not publishing the form-level data freely to the public. Not only is that data extremely dirty and difficult to analyze — at least, it took us six months — but it contains private information about subjects of force, including minors and people with mental health issues. However, we are planning to make a version of that file available upon request in the future.

Data analysis FAQ

What are rows? What are incidents?
Every time any police officer uses force against a subject, they must fill out a form detailing what happened and what force they used. But sometimes multiple police officers used force against the same subject in the same incident. "Rows" are individual forms officers filled out, "incidents" are unique incidents based on the incident number and date.

What are the odds ratios, and how did you calculate them?
We wanted a simple way of showing readers the disparity between black and white subjects in a particular town. So we used an odds ratio, a statistical method often used in research to compare the odds of one thing happening to another. For population, the calculation was (Number of black subjects/Total black population of area)/(Number of white subjects/Total white population of area). For arrests, the calculation was (Number of black subjects/Total number of black arrests in area)/(Number of white subjects/Total number of white arrests in area). In addition, when we compared anything to arrests, we took out all incidents where the subject was an EDP (emotionally disturbed person).

What are the NYC/LA/Chicago warning systems?
Those three departments each look at use of force to flag officers if they show concerning patterns, as way to select those that could merit more training or other action by the department. We compared our data to those three systems to see how many officers would trigger the early warning systems for each. Here are the three systems: - In New York City, officers are flagged for review if they use higher levels of force — including a baton, Taser or firearm, but not pepper spray — or if anyone was injured or hospitalized. We calculated this number by identifying every officer who met one or more of the criteria. - In Los Angeles, officers are compared with one another based on 14 variables, including use of force. If an officer ranks significantly higher than peers for any of the variables — technically, 3 standards of deviation from the norm — supervisors are automatically notified. We calculated this number conservatively by using only use of force as a variable over the course of a calendar year. - In Chicago, officers are flagged for review if force results in an injury or hospitalization, or if the officer uses any level of force above punches or kicks. We calculated this number by identifying every officer who met one or more of the criteria.

What are the different levels of force?
Each officer was required to include in the form what type of force they used against a subject. We cleaned and standardized the data to major categories, although officers could write-in a different type of force if they wanted to. Here are the major categories: - Compliance hold: A compliance hold is a painful maneuver using pressure points to gain control over a suspect. It is the lowest level of force and the most commonly used. But it is often used in conjunction with other types of force. - Takedown: This technique is used to bring a suspect to the ground and eventually onto their stomach to cuff them. It can be a leg sweep or a tackle. - Hands/fist: Open hands or closed fist strikes/punches. - Leg strikes: Leg strikes are any kick or knee used on a subject. - Baton: Officers are trained to use a baton when punches or kicks are unsuccessful. - Pepper spray: Police pepper spray, a mist derived from the resin of cayenne pepper, is considered “mechanical force” under state guidelines. - Deadly force: The firing of an officer's service weapon, regardless of whether a subject was hit. “Warning shots” are prohibited, and officers are instructed not to shoot just to maim or subdue a suspect.

In 2023, 12 offenders who killed law enforcement officers in the United States were of an unknown race or their race was not reported to the FBI. 28 white offenders and 17 Black offenders also killed law enforcement officers in that year. From the total of known offenders that year, 54 were male.

In 1980, the National Institute of Justice awarded a grant to the Cornell University College of Human Ecology for the establishment of the Center for the Study of Race, Crime, and Social Policy in Oakland, California. This center mounted a long-term research project that sought to explain the wide variation in crime statistics by race and ethnicity. Using information from eight ethnic communities in Oakland, California, representing working- and middle-class Black, White, Chinese, and Hispanic groups, as well as additional data from Oakland's justice systems and local organizations, the center conducted empirical research to describe the criminalization process and to explore the relationship between race and crime. The differences in observed patterns and levels of crime were analyzed in terms of: (1) the abilities of local ethnic communities to contribute to, resist, neutralize, or otherwise affect the criminalization of its members, (2) the impacts of criminal justice policies on ethnic communities and their members, and (3) the cumulative impacts of criminal justice agency decisions on the processing of individuals in the system. Administrative records data were gathered from two sources, the Alameda County Criminal Oriented Records Production System (CORPUS) (Part 1) and the Oakland District Attorney Legal Information System (DALITE) (Part 2). In addition to collecting administrative data, the researchers also surveyed residents (Part 3), police officers (Part 4), and public defenders and district attorneys (Part 5). The eight study areas included a middle- and low-income pair of census tracts for each of the four racial/ethnic groups: white, Black, Hispanic, and Asian. Part 1, Criminal Oriented Records Production System (CORPUS) Data, contains information on offenders' most serious felony and misdemeanor arrests, dispositions, offense codes, bail arrangements, fines, jail terms, and pleas for both current and prior arrests in Alameda County. Demographic variables include age, sex, race, and marital status. Variables in Part 2, District Attorney Legal Information System (DALITE) Data, include current and prior charges, days from offense to charge, disposition, and arrest, plea agreement conditions, final results from both municipal court and superior court, sentence outcomes, date and outcome of arraignment, disposition, and sentence, number and type of enhancements, numbers of convictions, mistrials, acquittals, insanity pleas, and dismissals, and factors that determined the prison term. For Part 3, Oakland Community Crime Survey Data, researchers interviewed 1,930 Oakland residents from eight communities. Information was gathered from community residents on the quality of schools, shopping, and transportation in their neighborhoods, the neighborhood's racial composition, neighborhood problems, such as noise, abandoned buildings, and drugs, level of crime in the neighborhood, chances of being victimized, how respondents would describe certain types of criminals in terms of age, race, education, and work history, community involvement, crime prevention measures, the performance of the police, judges, and attorneys, victimization experiences, and fear of certain types of crimes. Demographic variables include age, sex, race, and family status. For Part 4, Oakland Police Department Survey Data, Oakland County police officers were asked about why they joined the police force, how they perceived their role, aspects of a good and a bad police officer, why they believed crime was down, and how they would describe certain beats in terms of drug availability, crime rates, socioeconomic status, number of juveniles, potential for violence, residential versus commercial, and degree of danger. Officers were also asked about problems particular neighborhoods were experiencing, strategies for reducing crime, difficulties in doing police work well, and work conditions. Demographic variables include age, sex, race, marital status, level of education, and years on the force. In Part 5, Public Defender/District Attorney Survey Data, public defenders and district attorneys were queried regarding which offenses were increasing most rapidly in Oakland, and they were asked to rank certain offenses in terms of seriousness. Respondents were also asked about the public's influence on criminal justice agencies and on the performance of certain criminal justice agencies. Respondents were presented with a list of crimes and asked how typical these offenses were and what factors influenced their decisions about such cases (e.g., intent, motive, evidence, behavior, prior history, injury or loss, substance abuse, emotional trauma). Other variables measured how often and under what circumstances the public defender and client and the public defender and the district attorney agreed on the case, defendant characteristics in terms of who should not be put on the stand, the effects of Proposition 8, public defender and district attorney plea guidelines, attorney discretion, and advantageous and disadvantageous characteristics of a defendant. Demographic variables include age, sex, race, marital status, religion, years of experience, and area of responsibility.

Protests started on May 26, 2020, one day after George Floyd, an African-American man died during a police arrest. Demonstrations around the world were sparked, demanding justice for those killed due to police conduct. This dashboard displays the documented demonstrations of protests against police brutality/misconduct following the death of George Floyd. While the death of George Floyd seemed to mark the start of these international demonstrations, and many sources of data indicated these protests were a result of Floyd's death, others who have died by police recently, notably Breonna Taylor, are not neglected in this application. In addition, it is understood that the protests are not only aimed at addressing the death of George Floyd, but the history of police violence, especially in the United States.Due to the nature of this content, there are some warnings and considerations for the audience. This application is intended to show the extent of the demonstrations; however, data points include information, details, and links to reported violence at the respective protests. This might not be suitable for all audiences. An attempt was made to include images from all protests, all of which are hosted, and linked from published news articles. In addition, images of children and unmasked faces from unidentified people, and images of violence were intentionally avoided; however, in some cases, there might have been an exception made (ie, if the identity of the person is given in the linked image source, if the only image available from the protest is depicting violence, or if the image is deemed especially effective at conveying history).The data, both Domestic to United States and International, is manually entered into a Google Sheet where it is then directly imported into ArcGIS Online. Because this is a massive undertaking for one person, there are still many updates that are required. As of June 27, 2020, most locations have been placed on the map; however, many details about each demonstration are missing. There are still updates planned, notably, for multi-day protests that occurred in large USA cities, such as Louisville, KY; Minneapolis, MN; Philadelphia, PA; New York City, NY; Richmond, VA; Los Angeles, CA; Portland, OR; and Seattle, WA. Due to the complexity of these protests, marches, and single location demonstrations, this process will take considerably longer to gather information, determine the most appropriate schema, and implement those changes.Once all demonstration locations have been compiled, each location with multiple days of protests will be broken into new rows/points in order to introduce date filtering functions.Most data has been sourced from Wikipedia pages including:List of George Floyd Protests in the United StatesList of George Floyd Protest Outside of the United StatesList of George Floyd Protests in [US/Canadian State] - linked in the Wiki Page for Protests In/Outside the United StatesList of George Floyd Protests in [City] - linked in the Wiki Page for Protests in [US/Canadian State]Citations to publications from these Wikipedia pages were used to supply additional information and images, linked directly from their sources. It is encouraged to view citations in these articles to gain a better understanding of the event, and to support the media that provided this information via ad revenue.Note from the author:As a GIS Analyst by profession, as well as someone who has been emotionally moved by the events that have led to, and transpired following the deaths of George Floyd, Breonna Taylor, Philando Castile, Michael Brown, Elijah McClain, and other Black Americans whose lives have been taken by Police, I felt it was an appropriate response to document, and share information about this international movement. As a person, particularly, a White person, who has been privileged in many aspects of society, and has gained these skills, at least partially, through my privilege, it's necessary to use that as a reason to inform others, provide impact to my community, and rather than speaking for others, use my skills to amplify their voices. With that said, there is a professional aspect that must be taken into consideration with this application. It is my utmost duty, as a GIS Analyst, and a person who follows professional and ethical guidelines to not: alter any information provided by our news media, to add personal bias to the facts, and to be unresponsive of criticism. If there are any complaints, whether information in the application is inaccurate, incomplete, or shows a unprofessional bias, please follow the link within the Dashboard to my Google Forms where you can submit suggestions, recommendations, or provide your personal opinion. I read all of these comments, and take the feedback seriously.There is a known issue with adding a filtering function by US State. Generally, the filter will appropriately reduce the data but on occasion, the location of the protests will shift. This issue is being investigated, and it is uncertain when a resolution will occur.

As of October 22, police in the United States had shot 23 unarmed people to death in 2024. The most common weapon for a victim of a fatal police shooting to be carrying is a gun. In 2023, 717 people carrying a gun were shot and killed by the U.S. police.

Historical Dataset of Franklin Police And Fire High School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2009-2023),Total Classroom Teachers Trends Over Years (2009-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2009-2023),American Indian Student Percentage Comparison Over Years (2009-2023),Asian Student Percentage Comparison Over Years (2009-2023),Hispanic Student Percentage Comparison Over Years (2009-2023),Black Student Percentage Comparison Over Years (2009-2023),White Student Percentage Comparison Over Years (2009-2023),Diversity Score Comparison Over Years (2009-2023),Free Lunch Eligibility Comparison Over Years (2010-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2010-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022),Graduation Rate Comparison Over Years (2012-2022)

In 2023/24, the police in England and Wales fatally shot two people, compared with three in the previous reporting year, and six in 2016/17. During the same reporting year, the police used firearms twice, compared with ten times in 2022/23. In general, the police in England and Wales and in the rest of the UK do not have a tradition of carrying firearms, with the country having some of the strictest gun laws in the world. In 2023/24, out of around 147,746 police officers, just 5,861 were licensed to carry firearms in England and Wales. Comparisons with the United States Among developed economies, the United States is something of an outlier when it comes to police shootings. In 2024, it is estimated that the police in the United States fatally shot 1,173 people. There are also significant disparities based on a person's ethnicity. Between 2015 and March 2024, the rate of fatal police shootings among Black Americans was 6.1 per one million people, 2.7 per million people for Hispanic Americans and 2.4 per million people for white Americans. Gun violence overall is also far more prevalent in the United States, with 42 percent of American households owning a firearm as of 2023. Gun homicides rare in England and Wales Of the 583 homicides that took place in England and Wales in 2023/24, just 22 were committed by a person using a firearm. By far the most common method of killing was using a knife or other sharp instrument, at 262 homicides, or around 46 percent of them. Compared with twenty years ago, homicides in England and Wales have declined, falling from 1,047 in 2002/03, to just 533 in 2014/15. After this point, annual homicides rose, and by 2016/17 there were more than 700 homicides recorded in England and Wales. Although there have been some fluctuations, particularly during 2020/21 at the height of COVID-19 lockdowns.

Overview of Crisis Intervention Team data, including call types, locations, time of day, demographics, de-escalation, Specialized CIT officer involvement, resistance, and use of force. The dataset reflects information gathered from completed CIT Data Collection Forms.This dataset is connected to:Crisis Intervention Team DashboardCleveland"s Crisis Intervention Program StoryMapUpdate FrequencyData will be updated annually and become available in the 2nd quarter of the subsequent year. For example, 2025 CIT data will be available in the 2nd quarter of 2026.Contact InformationCleveland Division of PoliceBureau of ComplianceData Analysis UnitData GlossaryColumn| DescriptionRecord_Number| Unique identifier for each Crisis Intervention form.Date| Date the event occurred. Stored as text.Year| Year the event occurred. Data contains a comma due to settings in ArcGIS.Month| Month the event occurred (numeric; 1 - January, 2 - February, etc.).Day_of_Month| The numeric day of the month in which the event occurred.Day_of_Week| Day of the week the event occurred.Hour_Rounded| Hour of the day the event occurred, rounded to the nearest hour. When minutes are between 00 and 30, the time is rounded back (e.g., 8:13 p.m. is rounded to 8:00 p.m.). When minutes are between 31 and 59, the time is rounded forward (e.g., 10:42 a.m. is rounded to 11:00 a.m.).Police_District| Cleveland Division of Police District where the event occurred. (1; 2; 3; 4; 5)Call_Source| From where or whom the call originated. (Dispatch Center; Officer Initiated)Call_Type| The initial Computer Aided Dispatch (CAD) classification when the call was first generated.Level_of_Resistance| The highest level of resistance by the individual. (No Resistance; Passive Resistance; Active Resistance; Aggressive Physical Resistance)Level_of_Force| The level of force by the officer. (No Force Used, Level 1 UOF, Level 2 UOF, Level 3 UOF)Individual_Arrested| Whether or not the individual was arrested during the event.Individual_Cited| Whether or not the individual received a citation during the event.DeEscalation_Used| Whether or not the officer used de-escalation.Specialist_CIT_Officer_On_Scene| Indicates if either officer 1 or officer 2 (if applicable) or the supervisor on scene (if applicable) was a Specialized Crisis Intervention Team officer.Officer_Injured| Indicates if the officer was injured during the crisis intervention event.Officer_Injury_Force_Related| Indicates if the injury an officer received during the crisis intervention event was related to a use-of-force.Individual_Injured| Indicates if the individual was injured during the crisis intervention event.Individual_Injury_Force_Related| Indicates if the injury an individual received during the crisis intervention event was related to a use-of-force.Individual_Veteran| Whether or not the individual was a veteran.Individual_Sex| Sex of the individual. (Female; Male, Unknown)Individual_Race| Race of the individual. (American Indian or Alaskan Native; Asian; Black or African American; Native Hawaiian or Other Pacific Islander; Unknown, White)Individual_Youth| Whether or not the individual is under 18 years of age.Individual_Ethnicity| Ethnicity of the individual. (Hispanic, Non-Hispanic, Unknown)Individual_Referred_for_Additional_Support| Whether or not the individual was referred for additional support services.

Use of Force overview data, including call types, time of day, individual demographics, officer demographics, de-escalation, resistance levels, and force levels. The dataset reflects information gathered from Use of Force Reports.

In 2023/24, the arrest rate for people in England and Wales varied by self-identified ethnicity. People who identified as Black or Black British had an arrest rate of 17 per 1,000 population, compared with ten for people who identified as white, and eight who identified as Asian or Asian British.