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We obtained data on 1,247 Pennsylvania police departments.

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Police Department Pittsburgh
44% SCORE

Scorecard at a Glance

Average for 4 Sections: 44%

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.

Worse
50th Percentile
Better
Police Funding:  37%
Police Budget Cost per Person        
Misconduct Settlements        
Fines/Forfeitures        
Police Presence/Over-Policing (Officers per Population)        
Police Violence:  57%
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:  35%
Misconduct Complaints Upheld        
Excessive Force Complaints Upheld        
Discrimination Complaints Upheld        
Criminal Misconduct Complaints Upheld        
Approach to Law Enforcement:  46%
Arrest Rate for Low Level Offenses        
Homicides Solved        
Racial Disparities in Drug Arrests        

Key Findings

Police Funding i

37% -1%

Police Funding By Year

$101.58M  |  $335 per Resident

More Police Funding per Capita than 46% of Depts

Funds taken from communities in fines and forfeitures

Total: $95.65M from 2010-19

Number of officers per 1k population

1,013 Officers  |  33 per 10k Residents

More Officers per Population than 88% of Depts

Police violence i

57% -4%

Police Use of Force By Year

:

More Police Shootings per Arrest than 32% of Depts

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Less-Lethal Force

Used More Force per Arrest than 55% of Depts

956 Incidents  |  86 every 10k arrests

^  Includes batons, strangleholds, tasers & other police weapons   

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Deadly Force

8 Killings by Police from 2013-20  |  0.7 every 10k arrests

^  More Killings by Police per Arrest than 21% of Depts   

Deadly Force by Armed Status

N/A Unarmed  |  25% Did Not Allegedly Have a Gun

Unarmed Other Alleged Gun Vehicle
25%
75%

^  More Unarmed People Killed per Arrest than 1% of Depts   

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Police Violence by Race

Black Latinx N.Am API Other White

Population of Jurisdiction

22%
64%

Police Department Demographics

13%
85%

People Arrested

55%
43%

People Killed

88%
13%

^  More Racial Disparities in Deadly Force than 96% of Depts   

Police Accountability i

35% -11%

Total civilian complaints

1,630 from 2016-20  |  14% Ruled in Favor of Civilians

 

Use of Force Complaints

255 Reported  |  7% Ruled in Favor of Civilians

 

Complaints of Police Discrimination

77 Reported  |  3% 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

Approach to Law Enforcement i

46%

Arrests By Year

83,315 Arrests Reported from 2013-19

More Info

Arrests for Low Level Offenses

46,319 Arrests  |  29 per 1k residents

^  Higher Arrest Rate for Low Level Offenses than 72% of Depts   

Percent of total arrests by type

All Arrests for Low Level Offenses ( 56% )

Drug Possession ( 12% )

Violent Crime ( 7% )

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Homicides Unsolved

366 Homicides from 2013-19  |  143 Unsolved

^  Solved Fewer Homicides than 45% of Depts   

Percent of Homicides Unsolved by Race

Homicides of Black Victims Unsolved ( 76% )

Homicides of White Victims Unsolved ( 36% )

Pennsylvania 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.

Grade Scale Tap "show more" to see extended list

Police Department Score 5YR
5. Harrisburg 36% -4%
4. Lancaster 38% +4%
3. Bethlehem 42%
2. Pittsburgh 44% -4%
1. Philadelphia 46% -4%
* Manheim Borough 31%
* Chester Township 32% +5%
* York 34% -2%
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Police Department Score 5YR
* Mount Carmel Borough 47% -4%
* Hollidaysburg Borough 47% -9%
* Stroudsburg 47% +8%
* Union Township 47% -9%
* Bedford 47% -7%
* Courtdale Boro 47% -7%
* Duboistown Borough 47% -2%
* Heidelberg Borough 47% -10%
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* 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.

methodology Source Data

 

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:  There is problematic language in this city's police union contract that could make it harder to hold officers accountable. Learn more about this contract and how to change it at Nixthe6.org.
  • Look up your state and federal representatives below, then tell them to take action to hold police accountable in your community.

 

If you have feedback, questions about the project, or need support with an advocacy campaign, contact our Project Lead, Samuel Sinyangwe.