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URL: https://policescorecard.org/wi

⇱ Police Scorecard: Wisconsin


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We obtained data on 334 Police and 71 Sheriff’s Depts in the state of Wisconsin.

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Scorecard at a Glance

Average for 4 Sections: 48%

Scores range from 0-100% comparing states with population. States 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:  61%
Police Budget Cost per Person
Misconduct Settlements
Fines/Forfeitures
Police Presence/Over-Policing (Officers per Population)
Police Violence:  61%
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:  20%
Misconduct Complaints Upheld
Excessive Force Complaints Upheld
Discrimination Complaints Upheld
Criminal Misconduct Complaints Upheld
Approach to Law Enforcement:  50%
Arrest Rate for Low Level Offenses
Homicides Solved
Racial Disparities in Drug Arrests
Jail Incarceration Rate
Jail Deaths per 1,000

Key Findings

177 Killings by Police

Based on population, a Black person was 5.7x as likely and a Latinx person was 1.5x as likely to be killed by police as a White person in Wisconsin from 2013-23.

1,742 civilian complaints of police misconduct

14% were ruled in favor of civilians from 2016-22.

2,570,288 arrests made

71% of all arrests were for low-level, non-violent offenses from 2013-23.

Police Funding i

Section Score: 61% +9%

Police Funding By Year

$1.92B  |  5,778,394 Residents  |  $364 per Resident

More Police Funding per Capita than 36% of States

Source: US Census Bureau

Funds taken from communities in fines and forfeitures

Total: $1.6B from 2010-20

More Fines/Forfeitures than 83% of States

Source: US Census Bureau

Number of officers per 1k population

12,849 Officers  |  21 per 10k Residents

More Officers per Population than 52% of States

Source: Federal LEOKA Database

Police violence i

Section Score: 61% -1%

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Less-Lethal Force

Used More Force per Arrest than N/A of States

1,749 Incidents  |  96 every 10k arrests  |  +7%

No Data Found Add Data

Source: Police Department

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Deadly Force

177 Killings by Police from 2013-23  |  0.7 every 10k arrests

^  More Killings by Police per Arrest than 13% of States   

Source: Mapping Police Violence

Deadly Force by Armed Status

11% Unarmed  |  42% Did Not Allegedly Have a Gun

Unarmed Other Alleged Gun Vehicle
11%
27%
58%

^  More Unarmed People Killed per Arrest than 8% of States   

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Police Violence by Race

Black Latinx N.Am API Other White

Population of Wisconsin

6%
6%
81%

Wisconsin Law Enforcement Demographics

People Arrested

23%
9%
61%

People Killed

25%
6%
58%

^  More Racial Disparities in Deadly Force than 87% of States   

Source: Uniform Crime Report, Mapping Police Violence, LEMAS

Police Accountability i

Section Score: 20% -11%

Total civilian complaints

1,742 from 2016-22  |  14% Ruled in Favor of Civilians

Complaints Not Sustained Complaints Sustained

Use of Force Complaints

167 Reported  |  4% Ruled in Favor of Civilians

Complaints of Police Discrimination

28 Reported  |  4% Ruled in Favor of Civilians

Complaints Reported Ruled in Favor of Civilians

Alleged Crimes Committed by Police

60 Reported  |  5% Ruled in Favor of Civilians

Complaints Reported Ruled in Favor of Civilians

Approach to Law Enforcement i

Section Score: 50% -16%

Source: Uniform Crime Report

Arrests By Year

2,570,288 Arrests Reported from 2013-2023

Low Level Arrests Other Arrests
More Info

Arrests for Low Level Offenses

1,812,610 Arrests  |  35 per 1k residents

^  Higher Arrest Rate for Low Level Offenses than 86% of States   

Disparities in Arrests for Low Level Offenses by Race/Ethnicity

Black people were 3.8x more likely and Latinx people were 1.8x 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 ( 71% )

Drug Possession ( 9% )

Violent Crime ( 3% )

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Homicides Unsolved

2,601 Homicides from 2013-23  |  1007 Unsolved

^  Solved Fewer Homicides than 76% of States   

Percent of Homicides Unsolved by Race

Homicides of Black Victims Unsolved ( 27% )

Homicides of Latinx Victims Unsolved ( 19% )

Homicides of White Victims Unsolved ( 6% )

Source: MAP/Supplementary Homicide Report

Deaths in Jail

108 Deaths from 2013-19  |  8 per 1k Jail Population

Homicide Suicide Other Investigating

100%

^ Higher Rate of Jail Deaths than 7% of States   

Jail Incarceration rate

12,750 Avg Daily Jail Population  |  2 per 1k residents

^  More than 43% of Sheriff's Depts  

People in Jail Without Being Convicted

53 % of People in Jail

Wisconsin Statewide Scores

Rankings are based upon a 0 to 100 percentage scale. States 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 States where We Have Obtained the Most Data.

👁 Grade Scale
Tap "show more" to see extended list

0-29% 30-59% 60-69% 70-79% 80-89% 90-100% Incomplete
Statewide Score 5YR
16. Waukesha 27% -11%
15. Eau Claire 32% -10%
14. Walworth County 32% +13%
13. Green Bay 34% +7%
12. Dane County 34% +1%
11. Brown County 34% -8%
10. Rock County 35% -8%
9. Marathon County 38% -8%
8. Milwaukee 39% -4%
7. Appleton 43% +26%
6. Washington County 44% +3%
5. Waukesha County 45% +4%
4. St. Croix County 49% -4%
3. Madison 49% +10%
2. Outagamie County 50% +3%
1. Oshkosh 53% +7%
* Saint Croix Falls 26% -5%
* Racine County 28% -2%
* West Milwaukee 28% -6%
* Kenosha County 30% -2%
* Shawano 33% -9%
* Winnebago County 33% -4%
* West Allis 33% +2%
* Rice Lake 33% -8%
* Racine 33% -3%
* Kenosha 33% -3%
* Fontana 34% +2%
* New London 35% +21%
* Wauwatosa 36% +4%
* Wisconsin Dells 36% +6%
* Maple Bluff 37% -2%
* Watertown 37% -5%
* Prescott 37% +6%
* New Richmond 37% -22%
* Menomonie 37% -16%
* Manitowoc 37% -4%
* Butler 37% -2%
* Brookfield Township 37% -5%
* Altoona 37% -26%
* Lake Delton 37% +8%
* Beloit 38% +8%
* Crandon 38% -4%
* Kewaunee County 38% +2%
* New Berlin 38% -19%
* Ozaukee County 38% -5%
* Platteville 38% -7%
* Kohler 39% -4%
* Marinette 39% +2%
* Chetek 39% +1%
* Forest County 39% -1%
* Douglas County 39% -5%
* Greenfield 40% -11%
* Wausau 40% +12%
* Sheboygan 40% +1%
* Portage County 40% +4%
* Mount Pleasant 40% -1%
* Marshfield 40% -2%
* Marion 40% -3%
* Hillsboro 40% -5%
* Two Rivers 40% +1%
* Glendale 40%
* Belleville 40% +1%
* Elkhart Lake 40% +1%
* Ashwaubenon Department Of Public Safety 40% +12%
* Ashland County 40% -7%
* Caledonia 40% -14%
* Darien 40% +7%
* East Troy Village 40% -3%
* Eau Claire County 40% +3%
* Manitowoc County 41%
* Wautoma 41% +3%
* Viroqua 41% +2%
* Sparta 41% +1%
* Rhinelander 41% +2%
* Port Washington 41% -1%
* Plymouth 41% -4%
* Phillips 41% +2%
* Menasha 41% -2%
* Lincoln County 41% -2%
* Horicon 41% -4%
* Germantown 41% -9%
* Fox Point 41% -5%
* Fond Du Lac County 41% -5%
* Delavan 41% -7%
* Burlington 41%
* Bayfield 41%
* Hurley 41% -1%
* Mineral Point 42% -14%
* Oconto Falls 42% -2%
* Neillsville 42% -3%
* Oak Creek 42% -10%
* Walworth 42% -1%
* River Hills 42% +1%
* Saint Francis 42% -4%
* West Salem 42% -8%
* South Milwaukee 42% -4%
* Muskego 42% -4%
* Cudahy 42% -3%
* Marshall 42% -12%
* Franklin 42% -9%
* Fond Du Lac 42% -5%
* Dunn County 42% -1%
* Delafield 42% -4%
* Dodge County 42% +4%
* Chenequa 42% +3%
* Cedarburg 42% +3%
* Lake Geneva 42% +5%
* Siren 43% +1%
* Palmyra 43% +1%
* Rusk County 43% -2%
* Ripon 43% -5%
* Saukville 43% +2%
* Schofield 43% +1%
* Wisconsin Rapids 43% -3%
* Superior 43% +7%
* Thiensville 43% -3%
* Waupaca 43% +2%
* Williams Bay 43% +1%
* Wood County 43% +3%
* Monona 43% +3%
* Niagara 43% +5%
* Columbia County 43%
* Lodi 43% -13%
* Clinton 43% +4%
* Amery 43% -10%
* Big Bend 43% -2%
* Black Earth 43%
* Black River Falls 43% +1%
* Lake Hallie 43% -1%
* Antigo 43% +2%
* Darlington 43% -5%
* Eagle River 43% -6%
* Gillett 43% +1%
* Jefferson County 43% +1%
* La Crosse 43% +3%
* Deforest 43% -9%
* Shawano County 44% +2%
* Osseo 44% -2%
* Pleasant Prairie 44% -4%
* Readstown 44% +1%
* Rome Township 44% -4%
* Verona 44% -2%
* Shiocton 44%
* Shorewood Hills 44% +7%
* Somerset 44% -3%
* West Bend 44% +3%
* Whitewater 44% -3%
* Mequon 44% -4%
* New Holstein 44% +3%
* Lake Mills 44% -6%
* Madison Township 44% -4%
* Fall River 44% -6%
* Brodhead 44% +7%
* Cumberland 44% -2%
* De Pere 44% -6%
* Elm Grove 44% +8%
* Bayside 44% -3%
* Fort Atkinson 44% -12%
* Hartland 44% -16%
* Hudson 44% -8%
* Kiel 44% -5%
* Green Lake 44% -1%
* Richland Center 45% +1%
* Neenah 45% +3%
* Oneida County 45% -1%
* Pepin County 45% -3%
* Prairie Du Chien 45% -1%
* Sheboygan County 45% -1%
* Rothschild 45% -4%
* Whitefish Bay 45% -16%
* Silver Lake 45% -2%
* Whitehall 45%
* Langlade County 45% +1%
* Markesan 45% +3%
* Clintonville 45% +11%
* Kewaunee 45%
* Hortonville 45% +1%
* Hales Corners 45% -1%
* Green County 45% +11%
* Genoa City 45% +1%
* Door County 45% -1%
* Dodgeville 45% -3%
* Baraboo 45% +3%
* Algoma 45% -3%
* Adams 45% +1%
* Kaukauna 45% -5%
* Oconto 46% -7%
* Manawa 46% +5%
* Middleton 46% +9%
* Nekoosa 46% +2%
* Shorewood 46% +7%
* Onalaska 46% -4%
* Reedsburg 46% +4%
* Sauk County 46% -2%
* River Falls 46% -1%
* Kewaskum 46% +1%
* Marinette County 46% +8%
* Deerfield 46%
* Jackson 46% -7%
* Jackson County 46% -1%
* Geneva Township 46% +1%
* Fennimore 46% +1%
Statewide Score 5YR
* Delavan Township 46% +7%
* Brown Deer 46% +1%
* Beloit Township 46% -5%
* Augusta 46% +5%
* Albany 46% +2%
* Adams County 46% -2%
* Turtle Township 46% -5%
* Theresa 46% -5%
* Westby 46% -8%
* Woodruff 46% -1%
* Monroe County 47% +4%
* Wonewoc 47% -2%
* Waterford Village 47% -6%
* Union Grove 47% -6%
* Sauk Prairie 47% +3%
* Princeton 47% +2%
* Poynette 47% -1%
* Portage 47% -2%
* Oconomowoc 47% -9%
* Mishicot 47% -1%
* Tomah 47%
* Mcfarland 47% +1%
* Grant County 47% +8%
* Mazomanie 47% -1%
* Brillion 47% -7%
* Burnett County 47% +8%
* Cornell 47% -3%
* Green Lake County 47% -3%
* Grafton 47% -6%
* Grand Rapids 47% -13%
* Hayward 47% +3%
* Lancaster 47% -7%
* Lafayette County 48% +5%
* Pardeeville 48% -1%
* Ladysmith 48% -7%
* Menomonee Falls 48% +4%
* Mondovi 48%
* Montello 48% -9%
* New Glarus 48% -1%
* Stoughton 48%
* Pewaukee (Village) 48% -2%
* Rosendale 48% -4%
* Seymour 48% -4%
* Slinger 48% -4%
* Spooner 48% -2%
* Sturtevant 48% -5%
* Twin Lakes 48% -10%
* Fox Lake 48% -3%
* Jefferson 48% +2%
* Pulaski 48% -7%
* Fall Creek 48% -3%
* Chippewa Falls 48%
* Edgerton 48% -3%
* Bangor 48%
* Benton 48%
* Berlin 48% -8%
* Brockway Township 48% -3%
* Brookfield 48% +3%
* Chilton 48% -3%
* Omro 48%
* Clear Lake 48% -3%
* Cleveland 48% -4%
* Combined Locks 48% -1%
* Coon Valley 48% +1%
* Denmark 48% -1%
* Eagle 48% +1%
* Durand 48% -6%
* Florence County 48% +4%
* Park Falls 49% +3%
* Milton 49%
* Minocqua 49%
* Mosinee 49% -5%
* North Fond Du Lac 49% -3%
* North Hudson 49% -9%
* Osceola 49% +1%
* Summit Township 49% -7%
* South Wayne 49% -1%
* Stevens Point 49% -4%
* Sturgeon Bay 49% -4%
* Medford 49% -7%
* Trempealeau County 49% +2%
* Tomahawk 49% +4%
* Washburn County 49% +1%
* Waupaca County 49% +8%
* Merrill 49% +5%
* Iron County 49% +8%
* Kimberly 49% -1%
* Columbus 49% +2%
* Arcadia 49% -2%
* Ashland 49% +7%
* Beaver Dam 49% +3%
* Blair 49% -10%
* Bloomer 49% -2%
* La Crosse County 49% +5%
* Colby Abbotsford 49% -1%
* Dane 49% -3%
* Ellsworth 49% -3%
* Everest Metropolitan 49% -13%
* Greendale 49% +1%
* Hartford 49% +4%
* Howard Village 49%
* Elroy 49% +7%
* Peshtigo 50% +2%
* Vernon County 50% -5%
* Stoddard 50% -2%
* Three Lakes 50% -2%
* Trempealeau 50% -10%
* Endeavor 50% -1%
* Vilas County 50% -2%
* Washington Island 50% -2%
* Waushara County 50% -3%
* Westfield 50%
* Oconto County 50% +4%
* Oxford 50% -1%
* East Troy Township 50% -5%
* Monroe 50% +14%
* Hazel Green 50% +2%
* Bayfield County 50% -8%
* Mauston 50% +3%
* Evansville 50% +6%
* Cashton 50% -2%
* Iron River 50% -9%
* Lomira 50% -4%
* Marathon 50% +1%
* Marquette County 50% +2%
* Iron Ridge 51% -12%
* Waterloo 51% -1%
* Washburn 51% -3%
* Valders 51% -2%
* Strum 51% +3%
* Price County 51% +3%
* Oregon 51% -5%
* Janesville 51% +5%
* Sun Prairie 51% +4%
* Iowa County 51% +9%
* Fitchburg 51% +4%
* Elkhorn 51% -4%
* Elk Mound 51% -8%
* Cottage Grove 51% -5%
* Chippewa County 51% -5%
* Burlington Township 51% -6%
* Avoca 51% +2%
* Winneconne 52% +5%
* Spencer 52% -2%
* Sawyer County 52%
* Orfordville 52% +12%
* North Prairie 52% -6%
* Neshkoro 52% -3%
* Kronenwetter 52% -5%
* Juneau 52%
* Juneau County 52% -3%
* Independence 52% +1%
* Grantsburg 52% -8%
* Eleva 52% -3%
* Blue Mounds 52% -13%
* Bloomfield Township 52% -12%
* Pepin 53% +1%
* Waupun 53% +7%
* Weston Schofield 53% -3%
* Waunakee 53% -1%
* Taylor County 53%
* Stanley 53% -5%
* Plainfield 53% -9%
* Pewaukee City 53% -2%
* Athens 53% +2%
* Holmen 53% -9%
* Fox Valley Metropolitan Department 53% +1%
* Cuba City 53% +3%
* Brandon Fairwater 53% -9%
* Blanchardville 53% -2%
* Barron County 53% -3%
* Grand Chute 53% +3%
* Mukwonago 54% -4%
* Spring Green 54% -3%
* Sheboygan Falls 54% -5%
* Pierce County 54% +2%
* Oconomowoc Township 54% -7%
* New Lisbon 54%
* Polk County 54% +5%
* Mayville 54% -6%
* Menominee County 54%
* Kendall 54%
* Frederic 54% -4%
* Campbell Township 54% -11%
* Barron 54%
* Mukwonago Township 55% -3%
* Mount Horeb 55% +11%
* Luxemburg 55% -5%
* Highland 55% -3%
* Fountain City 55% -1%
* Cross Plains 55% -5%
* Clark County 55% -7%
* Calumet County 55% +2%
* Barneveld 55% -1%
* Buffalo County 56% +8%
* Campbellsport 56% -9%
* Edgar 56% -5%
* Richland County 56% +6%
* Freedom Township 57% -14%
* Boscobel 57% -3%
* Crawford County 57% -2%
* Plover 59% -2%
* Hobart/lawrence 61% -9%

* An asterisk indicates this location did not publish enough data to evaluate. Click below to add data to the Scorecard.

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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.

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 State's Governor and Attorney General, 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.
    Find Elected Officials

What's Next

Step 1: COMPLETED

👁 Step 1

Obtain data on 100 California cities. Refine methodology in response to feedback from communities, researchers and local officials.

Step 2: COMPLETED

👁 Step 2

Expand to every major law enforcement agency in America and include additional indicators such as police budgets and jail incarceration.

Step 3: IN PROGRESS

👁 Step 3

Inform data-driven solutions nationwide. Update as new federal, state and local data are collected. Track progress and hold cities accountable to results.

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