21st Century Policing Quarterly Data
2026 - Quarter 2
Personnel Demographics
| Rank | Hispanic | White | Black/African American | American Indian/Alaskan Native | Asian/Pacific Islander | Multi/Other | Total | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Female | Male | Female | Male | Female | Male | Female | Male | Female | Male | Female | Male | ||
| Assistant Chief | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
| Captain | 0 | 0 | 3 | 4 | 0 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 12 |
| Chief | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Detective | 2 | 4 | 19 | 33 | 1 | 3 | 1 | 0 | 0 | 2 | 1 | 0 | 66 |
| Detective Sergeant | 0 | 0 | 0 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 |
| Investigator | 0 | 0 | 6 | 6 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 13 |
| Lieutenant | 0 | 2 | 7 | 13 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
| Officer | 12 | 22 | 73 | 180 | 2 | 26 | 0 | 1 | 3 | 9 | 5 | 14 | 347 |
| Sergeant | 1 | 4 | 6 | 32 | 0 | 3 | 1 | 0 | 1 | 1 | 0 | 0 | 49 |
| Totals | 15 | 32 | 116 | 274 | 3 | 38 | 4 | 1 | 4 | 13 | 6 | 14 | 520 |
| Rank |
Hispanic | White | Black/African American | American Indian/Alaskan Native | Asian/Pacific Islander | Multi/Other | Total | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Female | Male | Female | Male | Female | Male | Female | Male | Female | Male | Female | Male | ||
| Accountant | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Analyst | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
| Forensic Video Analyst | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Grants Administrator | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| IMAT Coordinator | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Management Info Specialist | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
| Manager | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| Public Information Officer | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Records Custodian | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Supervisor | 1 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
| Acccounting Technician 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Admin Clerk | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| Community Relations Specialist | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Forensic Lab Tech | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Police Case Report Leadworker | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Police Property Clerk | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
| Police Records Information Clerk | 0 | 0 | 2 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
| Police Records Service Clerk | 0 | 2 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 18 |
| Program Assistant | 0 | 0 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
| Property Records Clerk | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| PRT | 2 | 0 | 15 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 20 |
| Supervisor | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| Training Center Coordinator | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| PT/Hourly* | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| Totals | 3 | 2 | 54 | 25 | 2 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 89 |
| Race | Hispanic | White | Black/African American | American Indian/Alaskan Native | Asian/Pacific Islander | Multi/Other | Total | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sex | Female | Male | Female | Male | Female | Male | Female | Male | Female | Male | Female | Male | |
| Totals | 18 | 34 | 170 | 299 | 5 | 38 | 4 | 1 | 5 | 13 | 8 | 14 | 609 |
Use of Force Data
From April 1 through June 30, 2026, Madison Police Officers responded to 38,785 calls for service. In that time, there were 151 community contacts in which officers used recordable force during their encounter. This means that in the 2nd quarter, MPD officers used recordable force 0.39% of the time when engaging with our community members. Each of these force incidents documented by officers was reviewed for compliance with MPD standard operating procedures.
| Description | Q1 | Q2 | Q3 | Q4 | Total |
|---|---|---|---|---|---|
| Calls for Service | 34175 | 38,785 | 72,960 | ||
| Citizen Contacts Where Force Was Used | 94 | 151 | 245 | ||
| % of CFS Where Force Was Used | 0.28% | 0.39% | 0.34% |
| Force | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Decentralization/Takedown (e.g. officer pushing or pulling a subject to the ground) | 86 | 109 | 195 | 59.1% | ||
| Active Counter Measures (e.g. officer striking a subject with hand, forearm, foot or knee) | 21 | 19 | 40 | 12.1% | ||
| Taser Deployment | 15 | 21 | 36 | 10.9% | ||
| Hobble Restraints (a belt system which restricts a subject's ability to kick at officers, squad windows, etc) | 7 | 8 | 15 | 4.5% | ||
| OC (i.e. Pepper) Spray Deployment | 6 | 32 | 38 | 11.5% | ||
| Baton Strike | 0 | 0 | 0 | 0.0% | ||
| K9 Bite | 2 | 1 | 3 | 0.9% | ||
| Firearm Discharged Toward Suspect | 0 | 0 | 0 | 0.0% | ||
| Impact Munition (firearm delivered projectile launched at a lower than normal velocity) | 2 | 1 | 3 | 0.9% | ||
| Specialty (SWAT/SET) | 0 | 0 | 0 | 0.0% | ||
| Total | 139 | 191 | 330 | 100.0% | ||
| Firearm Discharged to Put Down a Sick or Suffering Animal | 21 | 15 | 36 |
| District* | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| West | 4 | 4 | 8 | 3.3% | ||
| Midtown | 10 | 13 | 23 | 9.4% | ||
| South | 6 | 16 | 22 | 9.0% | ||
| Central | 37 | 79 | 116 | 47.3% | ||
| North | 12 | 16 | 28 | 11.4% | ||
| East | 24 | 21 | 45 | 18.4% | ||
| Out of County | 0 | 0 | 0 | 0.0% | ||
| Within County - Assist Agency | 1 | 2 | 3 | 1.2% | ||
| Total | 94 | 151 | 0 | 0 | 245 | 100.0% |
| Time of Day/Patrol Shift | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| 1st Detail (7am-3pm) | 20 | 18 | 38 | 15.5% | ||
| 3rd Detail (3pm-11pm) | 35 | 67 | 102 | 41.6% | ||
| 5th Detail (11pm-7am) | 39 | 66 | 105 | 42.9% | ||
| Total | 94 | 151 | 0 | 245 | 100.0% |
| Influencing Factor | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Alcohol | 17 | 44 | 61 | 33.0% | ||
| Drugs | 15 | 15 | 30 | 16.2% | ||
| Alcohol/Drugs Combined | 22 | 39 | 61 | 33.0% | ||
| Other | 17 | 16 | 33 | 17.8% | ||
| Total | 71 | 114 | 185 | 100.0% |
Use of Force by Officer Demographics
Use of Force by Sex of Officer
For 2026, MPD is comprised of 72% male officers as compared to 28% female officers. MPD employed about 2.3 times the number of women than the national average of 12%. The MPD officers who used force, broken down quarterly, were:
| Officer - Sex | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Male | 107 | 154 | 261 | 90.3% | ||
| Female | 13 | 15 | 28 | 9.7% | ||
| Total | 120 | 169 | 0 | 0 | 289 | 100.0% |
Use of Force by Race of Officer
MPD is comprised of men and women who represent many different racial groups and is generally reflective of the general Madison population. For 2026, MPD employed 66% Caucasian officers and 34% minority officers. MPD officers who used force, broken down by quarter, were:
| Officer - Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 5 | 5 | 10 | 3.5% | ||
| African-American | 12 | 21 | 33 | 11.4% | ||
| Hispanic | 19 | 25 | 44 | 15.2% | ||
| Native American | 0 | 0 | 0 | 0.0% | ||
| Other | 2 | 11 | 13 | 4.5% | ||
| Caucasian | 82 | 107 | 189 | 65.4% | ||
| Total | 120 | 169 | 289 | 100.0% |
Use of Force by Community Member Demographics
Use of Force by Sex of Community Member
| Community Member - Sex | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Male | 73 | 117 | 190 | 77.6% | ||
| Female | 21 | 34 | 55 | 22.4% | ||
| Unknown | 0 | 0 | 0 | 0.0% | ||
| Total | 94 | 151 | 245 | 100.0% |
Use of Force by Race of Community Member
| Community Member - Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 1 | 2 | 3 | 1.2% | ||
| African-American | 49 | 100 | 149 | 60.8% | ||
| Hispanic | 8 | 11 | 19 | 7.8% | ||
| Native American | 0 | 0 | 0 | 0.0% | ||
| Other | 0 | 0 | 0 | 0.0% | ||
| Caucasian | 36 | 38 | 74 | 30.2% | ||
| Unknown | 0 | 0 | 0 | 0.0% | ||
| Total | 94 | 151 | 245 | 100.0% |
Officer to Community Member Demographics
Broken down quarterly, the following officers used force against the following citizens, broken out by race. These numbers can reflect calls for service in which more than one officer used force against one citizen during a single incident, or a single officer used more than one type of force against a citizen during the same incident.
| Community Member Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 1 | 0 | 1 | 0.50% | ||
| African-American | 37 | 73 | 110 | 58.20% | ||
| Hispanic | 11 | 6 | 17 | 9.00% | ||
| Native American | 0 | 0 | 0 | 0.00% | ||
| Other | 0 | 0 | 0 | 0.00% | ||
| Caucasian | 33 | 28 | 61 | 32.30% | ||
| Unknown | 0 | 0 | 0 | 0.00% | ||
| Total | 82 | 107 | 189 | 100.00% |
| Community Member Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 0 | 2 | 2 | 4.50% | ||
| African-American | 8 | 18 | 26 | 59.10% | ||
| Hispanic | 2 | 2 | 4 | 9.10% | ||
| Native American | 0 | 0 | 0 | 0.00% | ||
| Other | 0 | 0 | 0 | 0.00% | ||
| Caucasian | 9 | 3 | 12 | 27.30% | ||
| Unknown | 0 | 0 | 0 | 0.00% | ||
| Total | 19 | 25 | 44 | 100.00% |
| Community Member Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 0 | 0 | 0 | 0.00% | ||
| African-American | 7 | 12 | 19 | 57.60% | ||
| Hispanic | 1 | 3 | 4 | 12.10% | ||
| Native American | 0 | 0 | 0 | 0.00% | ||
| Other | 0 | 0 | 0 | 0.00% | ||
| Caucasian | 4 | 6 | 10 | 30.30% | ||
| Unknown | 0 | 0 | 0 | 0.00% | ||
| Total | 12 | 21 | 33 | 100.00% |
| Community Member Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 0 | 0 | 0 | 0 | ||
| African-American | 0 | 0 | 0 | 0 | ||
| Hispanic | 0 | 0 | 0 | 0 | ||
| Native American | 0 | 0 | 0 | 0 | ||
| Other | 0 | 0 | 0 | 0 | ||
| Caucasian | 0 | 0 | 0 | 0 | ||
| Unknown | 0 | 0 | 0 | 0 | ||
| Total | 0 | 0 | 0 | 0 |
| Community Member Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 0 | 0 | 0 | 0.00% | ||
| African-American | 4 | 2 | 6 | 60.00% | ||
| Hispanic | 0 | 1 | 1 | 10.00% | ||
| Native American | 0 | 0 | 0 | 0.00% | ||
| Other | 0 | 0 | 0 | 0.00% | ||
| Caucasian | 1 | 2 | 3 | 30.00% | ||
| Unknown | 0 | 0 | 0 | 0.00% | ||
| Total | 5 | 5 | 10 | 100.00% |
| Community Member Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 0 | 0 | 0 | 0.00% | ||
| African-American | 1 | 9 | 10 | 76.90% | ||
| Hispanic | 0 | 0 | 0 | 0.00% | ||
| Native American | 0 | 0 | 0 | 0.00% | ||
| Other | 0 | 0 | 0 | 0.00% | ||
| Caucasian | 1 | 2 | 3 | 23.10% | ||
| Unknown | 0 | 0 | 0 | 0.00% | ||
| Total | 2 | 11 | 13 | 100.00% |
Incident Based Reporting (IBR) Offenses
| Offense | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Animal Cruelty | 0 | 4 | 4 | 0.1% | ||
| Arson | 2 | 2 | 4 | 0.1% | ||
| Assault Offenses | 425 | 550 | 975 | 16.9% | ||
| Bribery | 5 | 0 | 5 | 0.1% | ||
| Burglary | 65 | 105 | 170 | 2.9% | ||
| Counterfeiting/Forgery | 19 | 23 | 42 | 0.7% | ||
| Damage to Property | 257 | 338 | 595 | 10.3% | ||
| Drug/Narcotic Offenses | 231 | 185 | 416 | 7.2% | ||
| Embezzlement | 5 | 3 | 8 | 0.1% | ||
| Extortion | 13 | 19 | 32 | 0.6% | ||
| Fraud Offenses | 305 | 300 | 605 | 10.5% | ||
| Gambling Offenses | 0 | 0 | 0 | 0.0% | ||
| Homicide Offenses | 3 | 0 | 3 | 0.1% | ||
| Negligent Manslaughter | 3 | 2 | 5 | 0.1% | ||
| Human Trafficking Offenses | 0 | 0 | 0 | 0.0% | ||
| Kidnapping/Abduction | 22 | 32 | 54 | 0.9% | ||
| Larceny/Theft Offenses | 967 | 1,118 | 2,085 | 36.1% | ||
| Theft from Auto | 137 | 189 | 326 | 5.6% | ||
| Motor Vehicle Theft | 84 | 105 | 189 | 3.3% | ||
| Pornography/Obscene Material | 7 | 13 | 20 | 0.3% | ||
| Prostitution Offenses | 1 | 0 | 1 | 0.0% | ||
| Robbery | 16 | 23 | 39 | 0.7% | ||
| Sex Offenses, Forcible | 35 | 32 | 67 | 1.2% | ||
| Sex Offenses, Non-Forcible | 1 | 0 | 1 | 0.0% | ||
| Stolen Property Offenses | 6 | 8 | 14 | 0.2% | ||
| Weapon Law Violations* | 58 | 60 | 118 | 2.0% | ||
| Total | 2,667 | 3,111 | 5,778 | 100.0% |
*Weapon Law Violations include prohibiting the manufacture, sale, purchase, transportation, possession, concealment, or use of firearms, cutting instruments, explosives (including fireworks). The number of offenses in this category does not represent “shots fired" calls for service.
| Suspect - Sex | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Male | 718 | 853 | 1,571 | 68.2% | ||
| Female | 348 | 374 | 722 | 31.4% | ||
| Unknown | 5 | 5 | 10 | 0.4% | ||
| Total | 1,071 | 1,232 | 2,303 | 100.0% |
| Suspect - Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 18 | 17 | 35 | 1.5% | ||
| African-American | 541 | 639 | 1,180 | 51.2% | ||
| Native American | 2 | 2 | 4 | 0.2% | ||
| Other/Unknown | 45 | 39 | 84 | 3.6% | ||
| Caucasian | 465 | 535 | 1,000 | 43.4% | ||
| Total | 1,071 | 1,232 | 2,303 | 100.0% | ||
| Hispanic** | 105 | 110 | 125 | 5.4% |
**“Hispanic" is not a racial designator used for UCR/IBR crime reporting purposes. However, it is an ethnicity collected and tracked in MPD's records management system, in addition to race. These IBR figures are based on that data. Each person with a Hispanic ethnicity will also have a race indicated (from the above options) and reflected in MPD's crime reporting.
| Victim - Sex | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Male | 682 | 916 | 1,598 | 46.1% | ||
| Female | 798 | 925 | 1,723 | 49.7% | ||
| Unknown | 63 | 83 | 146 | 4.2% | ||
| Total | 1,543 | 1,924 | 3,467 | 100.0% |
| Victim - Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 55 | 84 | 139 | 4.0% | ||
| African-American | 356 | 476 | 832 | 24.0% | ||
| Native American | 2 | 6 | 8 | 0.2% | ||
| Other/Unknown | 193 | 212 | 405 | 11.7% | ||
| Caucasian | 937 | 1,146 | 2,083 | 60.1% | ||
| Total | 1,543 | 1,924 | 3,467 | 100.0% | ||
| Hispanic** | 175 | 195 | 370 | 10.7% |
**“Hispanic" is not a racial designator used for UCR/IBR crime reporting purposes. However, it is an ethnicity collected and tracked in MPD's records management system, in addition to race. These IBR figures are based on that data. Each person with a Hispanic ethnicity will also have a race indicated (from the above options) and reflected in MPD's crime reporting.
| District | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| West | 542 | 540 | 1,082 | 18.7% | ||
| Midtown | 331 | 421 | 752 | 13.0% | ||
| South | 168 | 217 | 385 | 6.7% | ||
| Central | 498 | 753 | 1,251 | 21.7% | ||
| North | 421 | 423 | 844 | 14.6% | ||
| East | 696 | 753 | 1,449 | 25.1% | ||
| Other | 11 | 4 | 15 | 0.3% | ||
| Total | 2,667 | 3,111 | 5,778 | 100.0% |
Arrests Data
On-View Arrest Data
More than one charge may be connected to an arrest.
| Offense | Group | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|---|
| Animal Cruelty | A | 0 | 2 | 2 | 0.0% | ||
| Arson | A | 2 | 0 | 2 | 0.0% | ||
| Assault Offenses | A | 370 | 385 | 755 | 14.0% | ||
| Bribery | A | 0 | 0 | 0 | 0.0% | ||
| Burglary | A | 15 | 19 | 34 | 0.6% | ||
| Counterfeiting/Forgery | A | 3 | 2 | 5 | 0.1% | ||
| Damage to Property | A | 77 | 99 | 176 | 3.3% | ||
| Drug/Narcotic Offenses | A | 313 | 139 | 452 | 8.4% | ||
| Embezzlement | A | 0 | 1 | 1 | 0.0% | ||
| Extortion | A | 0 | 0 | 0 | 0.0% | ||
| Fraud Offenses | A | 22 | 20 | 42 | 0.8% | ||
| Gambling Offenses | A | 0 | 0 | 0 | 0.0% | ||
| Homicide Offenses | A | 2 | 0 | 2 | 0.0% | ||
| Negligent Manslaughter | A | 5 | 1 | 6 | 0.1% | ||
| Human Trafficking Offenses | A | 3 | 0 | 3 | 0.1% | ||
| Kidnapping/Abduction | A | 16 | 23 | 39 | 0.7% | ||
| Larceny/Theft Offenses | A | 118 | 134 | 252 | 4.7% | ||
| Theft from Auto | A | 3 | 2 | 5 | 0.1% | ||
| Motor Vehicle Theft | A | 14 | 8 | 22 | 0.4% | ||
| Pornography/Obscene Material | A | 9 | 3 | 12 | 0.2% | ||
| Prostitution Offenses | A | 2 | 0 | 2 | 0.0% | ||
| Robbery | A | 13 | 18 | 31 | 0.6% | ||
| Sex Offenses, Forcible | A | 17 | 18 | 35 | 0.6% | ||
| Sex Offenses, Non-Forcible | A | 0 | 1 | 1 | 0.0% | ||
| Stolen Property Offenses | A | 5 | 10 | 15 | 0.3% | ||
| Weapon Law Violations* | A | 64 | 53 | 117 | 2.2% | ||
| Bad Checks | B | 1 | 1 | 2 | 0.0% | ||
| Curfew/Loitering/Vagrancy Violations | B | 0 | 0 | 0 | 0.0% | ||
| Disorderly Conduct | B | 635 | 726 | 1,361 | 25.2% | ||
| Driving Under the Influence | B | 77 | 65 | 142 | 2.6% | ||
| Drunkenness | B | 0 | 0 | 0 | 0.0% | ||
| Family Offenses, Nonviolent | B | 29 | 24 | 53 | 1.0% | ||
| Liquor Law Violations | B | 4 | 3 | 7 | 0.1% | ||
| Peeping Tom | B | 0 | 0 | 0 | 0.0% | ||
| Runaway | B | NR | 0 | 0 | 0.0% | ||
| Trespass of Real Property | B | 117 | 88 | 205 | 3.8% | ||
| All Other Offenses | n/a | 857 | 773 | 1,630 | 30.1% | ||
| Total | n/a | 2,793 | 2,618 | 5,411 | 100.0% |
*Weapon Law Violations include prohibiting the manufacture, sale, purchase, transportation, possession, concealment, or use of firearms, cutting instruments, explosives (including fireworks). The number of offenses in this category does not represent “shots fired" calls for service.
| Sex | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Male | 1,037 | 1,166 | 2,203 | 74.0% | ||
| Female | 383 | 392 | 775 | 26.0% | ||
| Unknown | 0 | 0 | 0 | 0.0% | ||
| Total | 1,420 | 1,558 | 2,978 | 100.0% |
| Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 25 | 20 | 45 | 1.5% | ||
| African-American | 662 | 829 | 1,491 | 50.1% | ||
| Native American | 6 | 7 | 13 | 0.4% | ||
| Other/Unknown | 30 | 32 | 62 | 2.1% | ||
| Caucasian | 697 | 670 | 1367 | 45.9% | ||
| Total | 1,420 | 1,558 | 2,978 | 100.0% | ||
| Hispanic | 132 | 175 | 307 | 10.3% |
| Category | Q1 | Q2 | Q3 | Q4 | Total |
|---|---|---|---|---|---|
| Distinct Arrests | 1,420 | 1,558 | 2,978 | ||
| Distinct Jackets | 1,096 | 1,245 | 2,341 | ||
| Repeat Arrestees | 166 | 213 | 379 | ||
| Repeat Arrestee % | 15% | 17% | 16% | ||
| Repeat Arrestee Arrest Total | 490 | 619 | 1,109 | ||
| Repeat Arrestee Arrest % | 35% | 40% | 37% |
| Sex | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Male | 47 | 40 | 87 | 66.4% | ||
| Female | 13 | 31 | 44 | 33.6% | ||
| Total | 60 | 71 | 131 | 100.0% |
| Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 2 | 0 | 2 | 1.5% | ||
| African-American | 39 | 49 | 88 | 67.2% | ||
| Native American | 0 | 0 | 0 | 0.0% | ||
| Other | 2 | 1 | 3 | 2.3% | ||
| Caucasian | 17 | 21 | 38 | 29.0% | ||
| Total | 60 | 71 | 131 | 100.0% | ||
| Hispanic | 2 | 7 | 9 | 6.9% |
| Category | Q1 | Q2 | Q3 | Q4 | Total |
|---|---|---|---|---|---|
| Distinct Arrests | 60 | 71 | 131 | ||
| Distinct Jackets | 46 | 50 | 96 | ||
| Repeat Arrestees | 9 | 5 | 14 | ||
| Repeat Arrestee % | 20% | 10% | 15% | ||
| Repeat Arrestee Arrest Total | 23 | 13 | 36 | ||
| Repeat Arrestee Arrest % | 38% | 18% | 27% |
Summoned/Cited Data
| Offense | Group | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|---|
| Animal Cruelty | A | 0 | 0 | 0 | 0.0% | ||
| Arson | A | 0 | 0 | 0 | 0.0% | ||
| Assault Offenses | A | 27 | 25 | 52 | 4.1% | ||
| Bribery | A | 0 | 0 | 0 | 0.0% | ||
| Burglary | A | 3 | 0 | 3 | 0.2% | ||
| Counterfeiting/Forgery | A | 1 | 0 | 1 | 0.1% | ||
| Damage to Property | A | 11 | 9 | 20 | 1.6% | ||
| Drug/Narcotic Offenses | A | 22 | 20 | 42 | 3.3% | ||
| Embezzlement | A | 2 | 0 | 2 | 0.2% | ||
| Extortion | A | 0 | 0 | 0 | 0.0% | ||
| Fraud Offenses | A | 2 | 0 | 2 | 0.2% | ||
| Gambling Offenses | A | 0 | 0 | 0 | 0.0% | ||
| Homicide Offenses | A | 0 | 0 | 0 | 0.0% | ||
| Negligent Manslaughter | A | 2 | 0 | 2 | 0.2% | ||
| Human Trafficking Offenses | A | 0 | 0 | 0 | 0.0% | ||
| Kidnapping/Abduction | A | 0 | 0 | 0 | 0.0% | ||
| Larceny/Theft Offenses | A | 64 | 86 | 150 | 11.9% | ||
| Theft From Auto | A | 0 | 0 | 0 | 0.0% | ||
| Motor Vehicle Theft | A | 2 | 0 | 2 | 0.2% | ||
| Pornography/Obscene Material | A | 2 | 0 | 2 | 0.2% | ||
| Prostitution Offenses | A | 0 | 0 | 0 | 0.0% | ||
| Robbery | A | 1 | 0 | 1 | 0.1% | ||
| Sex Offenses, Forcible | A | 2 | 7 | 9 | 0.7% | ||
| Sex Offenses, Non-Forcible | A | 0 | 1 | 1 | 0.1% | ||
| Stolen Property Offenses | A | 2 | 0 | 2 | 0.2% | ||
| Weapon Law Violations** | A | 3 | 3 | 6 | 0.5% | ||
| Bad Checks | B | 0 | 0 | 0 | 0.0% | ||
| Curfew/Loitering/Vagrancy Violations | B | 0 | 0 | 0 | 0.0% | ||
| Disorderly Conduct | B | 126 | 237 | 363 | 28.7% | ||
| Driving Under the Influence | B | 79 | 77 | 60 | 4.8% | ||
| Drunkenness | B | 0 | 0 | 0 | 0.0% | ||
| Family Offenses, Nonviolent | B | 2 | 0 | 2 | 0.2% | ||
| Liquor Law Violations | B | 12 | 30 | 42 | 3.3% | ||
| Peeping Tom | B | 0 | 0 | 0 | 0.0% | ||
| Runaway | B | NR | 0 | 0 | 0.0% | ||
| Trespass of Real Property | B | 98 | 121 | 219 | 17.3% | ||
| All Other Offenses | n/a | 79 | 105 | 184 | 14.6% | ||
| Total | n/a | 542 | 721 | 1,263 | 92.2% |
| Sex | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Male | 292 | 419 | 711 | 64.1% | ||
| Female | 175 | 223 | 398 | 35.9% | ||
| Total | 467 | 642 | 1,109 | 100.0% |
| Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 12 | 8 | 20 | 1.8% | ||
| African-American | 181 | 277 | 458 | 41.3% | ||
| Native American | 1 | 3 | 4 | 0.4% | ||
| Other/Unknown | 4 | 7 | 11 | 1.0% | ||
| Caucasian | 269 | 346 | 615 | 55.5% | ||
| Total | 467 | 641 | 1,108 | 100.0% | ||
| Hispanic | 62 | 82 | 144 | 13.0% |
| Sex | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Male | 11 | 17 | 28 | 65.1% | ||
| Female | 6 | 9 | 15 | 34.9% | ||
| Total | 17 | 26 | 43 | 100.0% |
| Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 0 | 1 | 1 | 2.3% | ||
| African-American | 8 | 13 | 21 | 48.8% | ||
| Native American | 0 | 0 | 0 | 0.0% | ||
| Other/Unknown | 1 | 1 | 2 | 4.7% | ||
| Caucasian | 8 | 11 | 19 | 44.2% | ||
| Total | 17 | 26 | 43 | 100.0% | ||
| Hispanic | 2 | 3 | 5 | 11.6% |
Traffic Data
All Traffic Stop Data
| Sex | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Male | 4,630 | 4,325 | 8,955 | 62.8% | ||
| Female | 2,663 | 2,611 | 5,274 | 37.0% | ||
| Unknown | 22 | 0 | 22 | 0.2% | ||
| Total | 7,315 | 6,936 | 14,251 | 100.0% |
| Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 353 | 305 | 658 | 4.6% | ||
| African-American | 1,935 | 1,839 | 3,774 | 26.5% | ||
| Native American | 16 | 42 | 58 | 0.4% | ||
| Other/Unknown | 1,722 | 558 | 2,280 | 16.0% | ||
| Caucasian | 3,269 | 4,192 | 7,461 | 52.4% | ||
| Total | 7,295 | 6,936 | 14,231 | 100.0% | ||
| Hispanic | 1250 | 722 | 1972 |
Citations Issued
| Sex | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Male | 2,818 | 2,950 | 5,768 | 63.1% | ||
| Female | 1,616 | 1,756 | 3,372 | 36.9% | ||
| Total | 4,434 | 4,706 | 9,140 | 100.0% |
| Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 210 | 200 | 410 | 4.5% | ||
| African-American | 1,149 | 1,217 | 2,366 | 25.9% | ||
| Native American | 0 | 23 | 23 | 0.3% | ||
| Other/Unknown | 1,019 | 101 | 1,120 | 12.3% | ||
| Caucasian | 2,036 | 3,165 | 5,201 | 57.0% | ||
| Total | 4,414 | 4,706 | 9,120 | 100.0% | ||
| Hispanic | 784 | 394 | 784 |
Warnings Issued
| Sex | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Male | 1,812 | 1,375 | 1,812 | 62.9% | ||
| Female | 1,047 | 855 | 1,047 | 36.3% | ||
| Unknown | 22 | 0 | 22 | 0.8% | ||
| Total | 2,881 | 2,230 | 2,881 | 100.0% |
| Race | Q1 | Q2 | Q3 | Q4 | Total | % |
|---|---|---|---|---|---|---|
| Asian | 143 | 105 | 248 | 4.9% | ||
| African-American | 786 | 622 | 1,408 | 27.5% | ||
| Native American | 16 | 19 | 35 | 0.7% | ||
| Other/Unknown | 703 | 457 | 1,160 | 22.7% | ||
| Caucasian | 1,233 | 1,027 | 2,260 | 44.2% | ||
| Total | 2,881 | 2,230 | 5,111 | 100.0% | ||
| Hispanic | 466 | 394 | 860 |
Archived Data
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21st Century Policing Report
2026 Quarterly Data
2025 Quarterly Data
Quarter 1 - 2025
- Incident Report Offenses
- Incident Based Reporting (IBR) Arrests
- MPD Personnel Demographics
- Traffic Stop Data
- Use of Force Data
Quarter 2 - 2025
- Incident Report Offenses
- Incident Based Reporting (IBR) Arrests
- MPD Personnel Demographics
- Traffic Stop Data
- Use of Force Data
Quarter 3 - 2025
- Incident Based Reporting Offenses
- Incident Based Reporting (IBR) Arrests
- MPD Personnel Demographics
- Traffic Stop Data
- Use of Force Data