This agency did not reportedly kill anyone from 2013-21.
We obtained data on 105 South Dakota police departments.
* An asterisk indicates that this location has not provided enough data to be included in our rankings. We are still working to obtain comprehensive data from every jurisdiction in the nation.
Scorecard at a Glance
Average for 4 Sections: 56%
Scores range from 0-100% comparing cities with under 50k 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: 66%|
|Police Budget Cost per Person|
|Police Presence/Over-Policing (Officers per Population)|
|Police Violence: 63%|
|Force Used per Arrest|
|Deadly Force per Arrest|
|Unarmed Victims of Deadly Force per Arrest|
|Racial Disparities in Deadly Force|
|Police Accountability: 30%|
|Misconduct Complaints Upheld|
|Excessive Force Complaints Upheld|
|Discrimination Complaints Upheld|
|Criminal Misconduct Complaints Upheld|
|Approach to Law Enforcement: 64%|
|Arrest Rate for Low Level Offenses|
|Racial Disparities in Drug Arrests|
N/A Killings by Police
N/A civilian complaints of police misconduct
No civilian complaints data obtained for this agency.
47 arrests made
38% of all arrests were for low-level, non-violent offenses from 2013-21.
Police Funding By Year
$66k | 724 Residents | $91 per Resident
More Police Funding per Capita than 14% of Depts
Source: US Census Bureau
Number of officers per 1k population
1 Officers | 13.8 per 10k Residents
More Officers per Population than 20% of Depts
Source: Federal LEOKA Database
N/A Killings by Police from 2013-21 | N/A every 10k arrests
No Data Found Add Data
Source: Mapping Police Violence
Police Violence by Race
Population of Kadoka
Kadoka Police Dept Demographics
Source: Uniform Crime Report, Mapping Police Violence, LEMAS
Police Accountability i
Section Score: 30%
Total civilian complaints
N/A from | N/A Ruled in Favor of Civilians
No Data Found Add Data
Use of Force Complaints
No Data Found Add Data
Approach to Law Enforcement i
Section Score: 64% ▶-16%
Source: Uniform Crime Report
Arrests for Low Level Offenses
18 Arrests | 5 per 1k residents
^ Higher Arrest Rate for Low Level Offenses than 8% of Depts
Percent of total arrests by type
All Arrests for Low Level Offenses ( 38% )
Drug Possession ( N/A )
Violent Crime ( 19% )
0 Homicides from 2013-21 | 0 Unsolved
No Homicides Reported
South Dakota 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
|2. Rapid City 41%||▶-16%|
|1. Sioux Falls 43%|
|* Deadwood 36%||▶-2%|
|* North Sioux City 40%||▶+2%|
|* Mobridge 41%|
|* Flandreau 41%||▶+1%|
|* Winner 42%||▶-1%|
|* Sisseton 42%||▶+5%|
|* Alcester 48%||▶-3%|
|* Burke 48%||▶-2%|
|* Montrose 48%|
|* Hurley 48%||▶+3%|
|* Bonesteel 48%|
|* Glenham 48%|
|* Colman 48%||▶-3%|
|* Whitewood 49%||▶-3%|
* 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.