Based on population, a Black person was 3x as likely and a Latinx person was 5.4x as likely to be killed by police as a White person in Cincinnati from 2013-21.
We obtained data on 714 Ohio police departments.
Scorecard at a Glance
Average for 4 Sections: 50%
Scores range from 0-100% comparing cities with over 250k population. Cities with higher scores spend less on policing, use less force, are more likely to hold officers accountable and make fewer arrests for low-level offenses.
Police Funding: 41% | ||||
---|---|---|---|---|
Police Budget Cost per Person | ||||
Misconduct Settlements | ||||
Fines/Forfeitures | ||||
Police Presence/Over-Policing (Officers per Population) |
Police Violence: 43% | ||||
---|---|---|---|---|
Force Used per Arrest | ||||
Deadly Force per Arrest | ||||
Unarmed Victims of Deadly Force per Arrest | ||||
Racial Disparities in Deadly Force |
Police Accountability: 48% | ||||
---|---|---|---|---|
Misconduct Complaints Upheld | ||||
Excessive Force Complaints Upheld | ||||
Discrimination Complaints Upheld | ||||
Criminal Misconduct Complaints Upheld |
Approach to Law Enforcement: 66% | ||||
---|---|---|---|---|
Arrest Rate for Low Level Offenses | ||||
Homicides Solved | ||||
Racial Disparities in Drug Arrests |
Key Findings
12 Killings by Police
201 civilian complaints of police misconduct
34% were ruled in favor of civilians from 2016-18.
25,870 arrests made
14% of all arrests were for low-level, non-violent offenses from 2013-21.
Police Funding By Year
$160.33M | $531 per Resident
More Police Funding per Capita than 84% of Depts
Source: US Census Bureau
Funds Spent On Misconduct Settlements
$225k per year from 2010-19 | $7,445 per 10k population
^ More Spending due to Misconduct than 19% of Depts
Source: FiveThirtyEight
Funds taken from communities in fines and forfeitures
Total: $54.35M from 2010-19
Source: US Census Bureau
Number of officers per 1k population
1,024 Officers | 33.3 per 10k Residents
More Officers per Population than 89% of Depts
Source: Federal LEOKA Database
Police Shootings
More Police Shootings per Arrest than 78% of Depts
Less-Lethal Force
Used More Force per Arrest than 1% of Depts
34 Incidents | 9 every 10k arrests | ▶+366%
Source: Police Department
Deadly Force
12 Killings by Police from 2013-21 | 2.3 every 10k arrests
^ More Killings by Police per Arrest than 79% of Depts
Source: Mapping Police Violence
Deadly Force by Armed Status
25% Unarmed | 33% Did Not Allegedly Have a Gun
^ More Unarmed People Killed per Arrest than 92% of Depts
Police Violence by Race
Population of Cincinnati
Cincinnati Police Dept Demographics
People Arrested
People Killed
^ More Racial Disparities in Deadly Force than 55% of Depts
Source: Uniform Crime Report, Mapping Police Violence, LEMAS
Total civilian complaints
201 from 2016-18 | 34% Ruled in Favor of Civilians
Use of Force Complaints
126 Reported | 10% Ruled in Favor of Civilians
Complaints of Police Discrimination
37 Reported | 11% Ruled in Favor of Civilians
Alleged Crimes Committed by Police
N/A Reported | N/A Ruled in Favor of Civilians
No Data Found Add Data
Arrests for Low Level Offenses
3,610 Arrests | 3 per 1k residents
^ Higher Arrest Rate for Low Level Offenses than 1% of Depts
Disparities in Arrests for Low Level Offenses by Race/Ethnicity
Black people were 3.7x more likely and Latinx people were 0.5x more likely to be arrested for low level, non-violent offenses than a white person.
Percent of total arrests by type
All Arrests for Low Level Offenses ( 14% )
Drug Possession ( N/A )
Violent Crime ( 12% )
Homicides Unsolved
538 Homicides from 2013-21 | 267 Unsolved
^ Solved Fewer Homicides than 25% of Depts
Percent of Homicides Unsolved by Race
Homicides of Black Victims Unsolved ( 50% )
Homicides of White Victims Unsolved ( 21% )
Ohio Police Department Scores
Rankings are based upon a 0 to 100 percentage scale. Departments with higher scores use less force, make fewer arrests for low level offenses, solve murder cases more often, hold officers more accountable and spend less on policing overall.
Overall Scores for Depts where We Have Obtained the Most Data.
Tap "show more" to see extended list
Police Department | Score | 5YR |
---|---|---|
* Mifflin 46% | ||
* Mentor 46% | ▶+1% | |
* Boardman 46% | ▶-4% | |
* Shaker Heights 46% | ▶+1% | |
* Hudson 46% | ▶+7% | |
* Rockford 46% | ▶+1% | |
* Orwell 46% | ▶-3% | |
* Buckeye Lake 46% | ▶-1% | |
▶-1% | ||
▶+3% | ||
▶+1% | ||
▶-1% | ||
▶-1% | ||
▶+4% | ||
▶-3% | ||
▶-1% | ||
▶-2% | ||
▶+5% | ||
▶+3% | ||
▶+1% | ||
▶+1% | ||
▶+1% | ||
▶-5% | ||
▶+1% | ||
▶+4% | ||
▶-3% | ||
▶-3% | ||
▶-4% | ||
▶+7% | ||
▶+1% | ||
▶+1% | ||
▶-1% | ||
▶-2% | ||
▶-2% | ||
▶-4% | ||
▶+1% | ||
▶-1% | ||
▶+5% | ||
▶-2% | ||
▶-1% | ||
▶-3% | ||
▶-3% | ||
▶-3% | ||
▶-3% | ||
▶-1% | ||
▶-4% | ||
▶-1% | ||
▶-3% | ||
▶+1% | ||
▶+1% | ||
▶-2% | ||
▶-5% | ||
▶-1% | ||
▶+3% | ||
▶+7% | ||
▶-1% | ||
▶-5% | ||
▶-5% | ||
▶+1% | ||
▶+2% | ||
▶-5% | ||
▶-1% | ||
▶-8% | ||
▶-8% | ||
▶-3% | ||
▶+8% | ||
▶+2% | ||
▶-3% | ||
▶-7% | ||
▶-8% | ||
▶+8% | ||
▶-1% | ||
▶-2% | ||
▶+4% | ||
▶-2% | ||
▶+1% | ||
▶-3% | ||
▶-3% | ||
▶+5% | ||
▶-1% | ||
▶-3% | ||
▶-10% | ||
▶-11% | ||
▶-1% | ||
▶+2% | ||
▶-3% | ||
▶-2% | ||
▶+2% | ||
▶+2% | ||
▶-7% | ||
▶+4% | ||
▶+1% | ||
▶-1% | ||
▶-2% | ||
▶-1% | ||
▶-2% | ||
▶-3% | ||
▶+5% | ||
▶-1% | ||
▶+1% | ||
▶-1% | ||
▶-6% | ||
▶-5% | ||
▶+2% | ||
▶-1% | ||
▶-2% | ||
▶+14% | ||
▶+6% | ||
▶-3% | ||
▶+5% | ||
▶-2% | ||
▶-2% | ||
▶-3% | ||
▶-10% | ||
▶+3% | ||
▶-8% | ||
▶-2% | ||
▶-3% | ||
▶-8% | ||
▶+2% | ||
▶+1% | ||
▶-10% | ||
▶-6% | ||
▶-1% | ||
▶-10% | ||
▶-1% | ||
▶-3% | ||
▶-3% | ||
▶-9% | ||
▶-8% | ||
▶-2% | ||
▶-2% | ||
▶-10% | ||
▶-4% | ||
▶-2% | ||
▶-10% | ||
▶+11% | ||
▶+2% | ||
▶+3% | ||
▶+11% | ||
▶-4% | ||
▶+1% | ||
▶-3% | ||
▶-3% | ||
▶-1% | ||
▶-3% | ||
▶-8% | ||
▶-4% | ||
▶+9% | ||
▶+1% | ||
▶+2% | ||
▶-8% | ||
▶-6% | ||
* An asterisk indicates this location did not publish enough data to evaluate. Click below to add data to the Scorecard.
About This Scorecard
This is the first nationwide evaluation of policing in the United States. It was built using data from state and federal databases, public records requests to local police departments, and media reports. While police data is never perfect, and there are additional indicators that still need to be tracked, the Police Scorecard is designed to provide insight into many important issues in policing.
Police Scorecard is an independent 501(c)(3) organization, learn more about our team here. If you have feedback, questions about the project, or need support with an advocacy campaign, contact our Founder, Samuel Sinyangwe.
Use this Scorecard to identify issues within police departments that require the most urgent interventions and hold officials accountable for implementing solutions. For example, cities with higher rates of low level arrests could benefit most from solutions that create alternatives to policing and arrest for these offenses. In cities where police make fewer arrests overall but use more force when making arrests, communities could benefit significantly from policies designed to hold police accountable for excessive force. And cities where complaints of police misconduct are rarely ruled in favor of civilians could benefit from creating an oversight structure to independently investigate these complaints.
Here's how to start pushing for change
-
Contact your Mayor and Police Chief, share your scorecard with them and urge them to enact policies to address the issues you've identified:
-
Mayor John Cranley
Phone: 513-352-3250
Email: mayor.cranley@cincinnati-oh.gov
Advocacy Tip: There is problematic language in this city's police union contract that could make it harder to hold officers accountable. Tell your Mayor to re-negotiate the police union contract. -
Mayor John Cranley
-
Look up your state and federal representatives below, then tell them to take action to hold police accountable in your community.
Join a team of researchers, students, data scientists, activists and organizers working to collect, analyze and use data for justice and accountability.
Create data visualizations and content that raises awareness about solutions to the issues identified by the data.
What's Next
Step 1: COMPLETED
Obtain data on 100 California cities. Refine methodology in response to feedback from communities, researchers and local officials.
Step 2: COMPLETED
Expand to every major law enforcement agency in America and include additional indicators such as police budgets and jail incarceration.
Step 3: IN PROGRESS
Inform data-driven solutions nationwide. Update as new federal, state and local data are collected. Track progress and hold cities accountable to results.