Based on population, a Black person was 14.1x as likely and a Latinx person was 1.2x as likely to be killed by police as a White person in Montgomery County from 2013-21.
We obtained data on 101 Maryland police departments.
Scorecard at a Glance
Average for 4 Sections: 47%
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: 73%|
|Police Budget Cost per Person|
|Police Presence/Over-Policing (Officers per Population)|
|Police Violence: 49%|
|Force Used per Arrest|
|Deadly Force per Arrest|
|Unarmed Victims of Deadly Force per Arrest|
|Racial Disparities in Deadly Force|
|Police Accountability: 7%|
|Misconduct Complaints Upheld|
|Excessive Force Complaints Upheld|
|Discrimination Complaints Upheld|
|Criminal Misconduct Complaints Upheld|
|Approach to Law Enforcement: 61%|
|Arrest Rate for Low Level Offenses|
|Racial Disparities in Drug Arrests|
16 Killings by Police
1,255 civilian complaints of police misconduct
2% were ruled in favor of civilians from 2017-21.
122,930 arrests made
68% of all arrests were for low-level, non-violent offenses from 2013-21.
Police Funding By Year
$295.33M | 1,036,020 Residents | $285 per Resident
More Police Funding per Capita than 28% of Depts
Funds Spent On Misconduct Settlements
$242k per year from 2012-14 | $2,336 per 10k population
^ More Spending due to Misconduct than 4% of Depts
Number of officers per 1k population
157 Officers | 1.5 per 10k Residents
More Officers per Population than 2% of Depts
More Police Shootings per Arrest than 19% of Depts
14 Shootings | 1.8 every 100k arrests
Used More Force per Arrest than 26% of Depts
435 Incidents | 55 every 10k arrests | ▶-73%
16 Killings by Police from 2013-21 | 1.3 every 10k arrests
^ More Killings by Police per Arrest than 44% of Depts
Deadly Force by Armed Status
13% Unarmed | 56% Did Not Allegedly Have a Gun
^ More Unarmed People Killed per Arrest than 42% of Depts
Police Violence by Race
Population of Montgomery County
Montgomery County Police Dept Demographics
^ More Racial Disparities in Deadly Force than 94% of Depts
Total civilian complaints
1,255 from 2017-21 | 2% Ruled in Favor of Civilians
Use of Force Complaints
No Data Found Add Data
Arrests By Year
122,930 Arrests Reported from 2013-2021
Arrests for Low Level Offenses
83,444 Arrests | 10 per 1k residents
^ Higher Arrest Rate for Low Level Offenses than 17% of Depts
Disparities in Arrests for Low Level Offenses by Race/Ethnicity
Black people were 5.7x more likely and Latinx people were 2.5x 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 ( 68% )
Drug Possession ( 21% )
Violent Crime ( 5% )
161 Homicides from 2013-21 | 35 Unsolved
^ Solved Fewer Homicides than 82% of Depts
Percent of Homicides Unsolved by Race
Homicides of Black Victims Unsolved ( 24% )
Homicides of Latinx Victims Unsolved ( 14% )
Homicides of White Victims Unsolved ( 17% )
Maryland 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
|* Denton 47%||▶-5%|
|* Seat Pleasant 47%||▶-12%|
|* Cumberland 47%||▶-5%|
|* Easton 48%||▶-5%|
|* Elkton 48%||▶-1%|
|* Capitol Heights 48%||▶-6%|
|* Perryville 48%||▶-4%|
|* North Beach 48%||▶-1%|
* 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:
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.
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.