That's a higher rate than 42% of US Police Departments.
We obtained data on 269 Tennessee police departments.
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Scorecard at a Glance
Average for 4 Sections: 47%
Scores range from 0-100% comparing cities with 100-250k 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.
Worse
50th Percentile
Better
| Police Funding: 40% | ||||
|---|---|---|---|---|
| Police Budget Cost per Person | ||||
| Misconduct Settlements | ||||
| Fines/Forfeitures | ||||
| Police Presence/Over-Policing (Officers per Population) | ||||
| Police Violence: 54% | ||||
|---|---|---|---|---|
| Force Used per Arrest | ||||
| Deadly Force per Arrest | ||||
| Unarmed Victims of Deadly Force per Arrest | ||||
| Racial Disparities in Deadly Force | ||||
Worse
50th Percentile
Better
| Police Accountability: 51% | ||||
|---|---|---|---|---|
| Misconduct Complaints Upheld | ||||
| Excessive Force Complaints Upheld | ||||
| Discrimination Complaints Upheld | ||||
| Criminal Misconduct Complaints Upheld | ||||
| Approach to Law Enforcement: 43% | ||||
|---|---|---|---|---|
| Arrest Rate for Low Level Offenses | ||||
| Homicides Solved | ||||
| Racial Disparities in Drug Arrests | ||||
Key Findings
9 Killings by Police
23 civilian complaints of police misconduct
52% were ruled in favor of civilians from 2020.
98,167 arrests made
61% of all arrests were for low-level, non-violent offenses from 2013-21.
Police Funding By Year
$57.96M | 188,672 Residents | $315 per Resident
More Police Funding per Capita than 49% of Depts
Source: US Census Bureau
Number of officers per 1k population
382 Officers | 20.2 per 10k Residents
More Officers per Population than 77% of Depts
Source: Federal LEOKA Database
Open in New Window
Less-Lethal Force
Used More Force per Arrest than 26% of Depts
201 Incidents | 55 every 10k arrests | ▶-61%
Source: Police Department
Open in New Window
Deadly Force
9 Killings by Police from 2013-21 | 0.9 every 10k arrests
^ More Killings by Police per Arrest than 42% of Depts
Source: Mapping Police Violence
Deadly Force by Armed Status
22% Unarmed | 56% Did Not Allegedly Have a Gun
Unarmed
Other
Alleged Gun
Vehicle
^ More Unarmed People Killed per Arrest than 66% of Depts
Open in New Window
Police Violence by Race
Black
Latinx
N.Am
API
Other
White
Population of Knoxville
Knoxville Police Dept Demographics
People Arrested
People Killed
^ More Racial Disparities in Deadly Force than 53% of Depts
Source: Uniform Crime Report, Mapping Police Violence, LEMAS
Total civilian complaints
23 from 2020 | 52% Ruled in Favor of Civilians
Complaints Not Sustained
Complaints Sustained
Use of Force Complaints
2 Reported | 0% Ruled in Favor of Civilians
Arrests By Year
98,167 Arrests Reported from 2013-2021
Low Level Arrests
Other Arrests
More Info
Arrests for Low Level Offenses
60,095 Arrests | 40 per 1k residents
^ Higher Arrest Rate for Low Level Offenses than 91% of Depts
Disparities in Arrests for Low Level Offenses by Race/Ethnicity
Black people were 2.2x more likely and Latinx people were 0.5x more likely to be arrested for low level, non-violent offenses than a white person.
Black
Latinx
White
Percent of total arrests by type
All Arrests for Low Level Offenses ( 61% )
Drug Possession ( 11% )
Violent Crime ( 4% )
Open in New Window
Homicides Unsolved
218 Homicides from 2013-21 | 109 Unsolved
^ Solved Fewer Homicides than 17% of Depts
Percent of Homicides Unsolved by Race
Homicides of Black Victims Unsolved ( 25% )
Homicides of Latinx Victims Unsolved ( 50% )
Homicides of White Victims Unsolved ( 12% )
Tennessee 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 |
|---|---|---|
| 4. Memphis 40% | ▶+1% | |
| 3. Knoxville 47% | ▶+7% | |
| 2. Chattanooga 48% | ▶+13% | |
| 1. Nashville Metro 48% | ||
| * Bolivar 27% | ▶-22% | |
| * Etowah 29% | ▶-3% | |
| * Germantown 30% | ▶-4% | |
| * Collierville 31% | ▶-2% | |
| ▶+5% | ||
| ▶-4% | ||
| ▶-6% | ||
| ▶-3% | ||
| ▶+14% | ||
| ▶+3% | ||
| ▶-1% | ||
| ▶-4% | ||
| ▶-4% | ||
| ▶+3% | ||
| ▶+4% | ||
| ▶-2% | ||
| ▶-13% | ||
| ▶+6% | ||
| ▶-3% | ||
| ▶+2% | ||
| ▶-6% | ||
| ▶-8% | ||
| ▶-7% | ||
| ▶-2% | ||
| ▶-8% | ||
| ▶-1% | ||
| ▶+6% | ||
| ▶+1% | ||
| ▶+4% | ||
| ▶-2% | ||
| ▶-1% | ||
| ▶-6% | ||
| ▶+2% | ||
| ▶+18% | ||
| ▶-1% | ||
| ▶-3% | ||
| ▶-6% | ||
| ▶+6% | ||
| ▶+6% | ||
| ▶-4% | ||
| ▶-5% | ||
| ▶+8% | ||
| ▶+2% | ||
| ▶-8% | ||
| ▶-2% | ||
| ▶-6% | ||
| ▶+1% | ||
| ▶+4% | ||
| ▶+5% | ||
| ▶+3% | ||
| ▶+1% | ||
| ▶+2% | ||
| ▶+4% | ||
| ▶+3% | ||
| ▶+1% | ||
| ▶+7% | ||
| ▶-3% | ||
| ▶+5% | ||
| ▶+1% | ||
| ▶+3% | ||
| ▶+4% | ||
| ▶-4% | ||
| ▶+1% | ||
| ▶+1% | ||
| ▶-1% | ||
| ▶+2% | ||
| ▶-6% | ||
| ▶-5% | ||
| ▶-3% | ||
| ▶-1% | ||
| ▶-2% | ||
| ▶-8% | ||
| ▶-2% | ||
| ▶-1% | ||
| ▶-5% | ||
| ▶-5% | ||
| ▶-6% | ||
| ▶-8% | ||
| ▶+3% | ||
| ▶-5% | ||
| ▶-5% | ||
| ▶+6% | ||
| ▶+3% | ||
| ▶-3% | ||
| ▶-2% | ||
| ▶-4% | ||
| ▶+8% | ||
| ▶-15% | ||
| ▶-5% | ||
| ▶+6% | ||
| ▶+3% | ||
| ▶+3% | ||
| ▶+2% | ||
| ▶+2% | ||
| ▶-4% | ||
| ▶-7% | ||
| ▶+1% | ||
| ▶+4% | ||
| ▶-8% | ||
| ▶-1% | ||
| ▶-4% | ||
| ▶-7% | ||
| ▶+7% | ||
| ▶+3% | ||
| ▶-3% | ||
| ▶-7% | ||
| ▶+10% | ||
| ▶+22% | ||
| ▶+4% | ||
| ▶+2% | ||
| ▶+2% | ||
| ▶+6% | ||
| ▶-6% | ||
| ▶+2% | ||
| ▶-2% | ||
| ▶+2% | ||
| ▶+8% | ||
| Police Department | Score | 5YR |
|---|---|---|
| * Elkton 45% | ▶+1% | |
| * Petersburg 45% | ▶-4% | |
| * Clarksburg 45% | ▶+3% | |
| * Lagrange 45% | ||
| * Kingston Springs 46% | ▶-6% | |
| * Gallaway 46% | ▶-4% | |
| * Gainesboro 46% | ▶-1% | |
| * Collinwood 46% | ▶-2% | |
| ▶+3% | ||
| ▶-6% | ||
| ▶+7% | ||
| ▶+4% | ||
| ▶+9% | ||
| ▶+3% | ||
| ▶+3% | ||
| ▶+3% | ||
| ▶-3% | ||
| ▶+3% | ||
| ▶-9% | ||
| ▶-4% | ||
| ▶-17% | ||
| ▶-7% | ||
| ▶+4% | ||
| ▶+1% | ||
| ▶+1% | ||
| ▶-4% | ||
| ▶+7% | ||
| ▶-2% | ||
| ▶-1% | ||
| ▶+4% | ||
| ▶-11% | ||
| ▶+2% | ||
| ▶-2% | ||
| ▶-1% | ||
| ▶+5% | ||
| ▶-5% | ||
| ▶+6% | ||
| ▶-3% | ||
| ▶+2% | ||
| ▶+6% | ||
| ▶-5% | ||
| ▶+2% | ||
| ▶+7% | ||
| ▶-1% | ||
| ▶+4% | ||
| ▶-5% | ||
| ▶+1% | ||
| ▶+1% | ||
| ▶+12% | ||
| ▶-3% | ||
| ▶-2% | ||
| ▶-2% | ||
| ▶-11% | ||
| ▶+2% | ||
| ▶-2% | ||
| ▶+4% | ||
| ▶-6% | ||
| ▶+5% | ||
| ▶+7% | ||
| ▶+4% | ||
| ▶+4% | ||
| ▶+1% | ||
| ▶-6% | ||
| ▶-4% | ||
| ▶+1% | ||
| ▶-3% | ||
| ▶+3% | ||
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| ▶-2% | ||
| ▶-4% | ||
| ▶-3% | ||
| ▶-4% | ||
| ▶-3% | ||
| ▶-10% | ||
| ▶-4% | ||
| ▶+8% | ||
| ▶+2% | ||
| ▶+1% | ||
| ▶+2% | ||
| ▶+5% | ||
| ▶+2% | ||
| ▶+1% | ||
| ▶-8% | ||
| ▶-8% | ||
| ▶-1% | ||
| ▶-1% | ||
| ▶-9% | ||
| ▶+2% | ||
| ▶+4% | ||
| ▶-5% | ||
| ▶-3% | ||
| ▶-2% | ||
| ▶-7% | ||
| ▶-1% | ||
| ▶+6% | ||
| ▶-2% | ||
| ▶-7% | ||
| ▶-3% | ||
| ▶-6% | ||
| ▶-2% | ||
| ▶-3% | ||
| ▶-3% | ||
| ▶-3% | ||
| ▶-5% | ||
| ▶+5% | ||
| ▶-2% | ||
| ▶-6% | ||
| ▶-1% | ||
| ▶-8% | ||
| ▶-12% | ||
| ▶-4% | ||
| ▶+9% | ||
| ▶+6% | ||
| ▶-2% | ||
| ▶-3% | ||
| ▶-9% | ||
| ▶-10% | ||
| ▶+2% | ||
| ▶+5% | ||
| ▶-3% | ||
| ▶-3% | ||
| ▶-5% | ||
| ▶-4% | ||
| ▶-5% | ||
| ▶+4% | ||
* 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:
Advocacy Tip: This state has a Police Bill of Rights law. These laws make it harder to hold police accountable. Call state legislators and tell them to repeal this law.
-
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.