Record · State
Arrests in Michigan
Agencies in Michigan reported 179,465 arrests to the FBI in 2025, according to the FBI’s Crime Data Explorer.
Broken down here by the arrestee’s race, sex and age.
Read these figures with these
- An arrest is an event, not a person. One person arrested three times in a year is three arrests, so these are not counts of individuals and a rate is not the share of a population that was arrested.
- Race is recorded by the arresting agency, not reported by the person arrested.
- The FBI publishes no ethnicity field with these arrests, so no Hispanic or Latino figure can be derived from them. Hispanic arrestees are recorded under a race, which is why the population each rate divides by is that race across all origins rather than the non-Hispanic part of it.
- The FBI’s “Multiple” category is an arresting officer’s classification of one person. The Census Bureau’s “two or more races” is what a person says about themselves. They are not the same population, so that row carries a count and no rate.
- Reporting to the FBI is voluntary, and the FBI publishes no participating-agency figure with arrest data, so a change in an arrest count cannot be separated from a change in who reported. The size of that is measurable from its own state figures: national arrests rose 8.3% between 2022 and 2023, while NY alone rose 121.8% — 204,565 arrests from one state, against 539,374 nationally. Counts are not comparable across that year.
- A rate is not published where fewer than 20 arrests lie behind it. That is the convention US federal vital statistics use for an unreliable rate, and it matters most in the smallest groups: nineteen arrests among a few hundred residents produces a figure that one or two arrests would move by a third. The count is always shown.
- Comparing the composition of arrestees with the composition of a population assumes equal offending and equal likelihood of arrest across groups. This data supports neither assumption, and nothing here implies either.
- 344 arrests in 2025 carry no race at all — not even “unknown” — so the race rows total slightly less than the arrests recorded.
By race · 2025
Arrests per 100,000 residents of that group in Michigan, using Census Bureau estimates for the same year. The FBI’s legacy grouping, “Asian, Native Hawaiian, or Other Pacific Islander”, contains two of the rows below and is left out rather than counted twice.
2 more columns on a wider screen
| Race | Arrests | Share of arrests |
|---|---|---|
| White | 102,478 | 57.1% |
| Black or African American | 68,170 | 38.0% |
| Unknown | 6,366 | 3.5% |
| American Indian or Alaska Native | 1,450 | 0.8% |
| Asian | 878 | 0.5% |
| Native Hawaiian or Other Pacific Islander | 123 | 0.1% |
By sex · 2025
- 128,205
- Male
- 2,568 per 100,000 residents
- 51,260
- Female
- 998 per 100,000 residents
By age · 2025
1 more column on a wider screen
| Age | Sex | Arrests |
|---|---|---|
| Under 10 | Female | 11 |
| Under 10 | Male | 44 |
| Under 11 | Female | 0 |
| Under 11 | Male | 0 |
| 10-12 | Female | 251 |
| 10-12 | Male | 503 |
| 11-12 | Female | 0 |
| 11-12 | Male | 0 |
| 13-14 | Female | 692 |
| 13-14 | Male | 1,488 |
| 15 | Female | 498 |
| 15 | Male | 1,153 |
| 16 | Female | 495 |
| 16 | Male | 1,329 |
| 17 | Female | 592 |
| 17 | Male | 1,437 |
| 18 | Female | 953 |
| 18 | Male | 2,526 |
| 19 | Female | 1,024 |
| 19 | Male | 2,673 |
| 20 | Female | 1,072 |
| 20 | Male | 2,756 |
| 21 | Female | 1,236 |
| 21 | Male | 3,007 |
| 22 | Female | 1,258 |
| 22 | Male | 2,941 |
| 23 | Female | 1,290 |
| 23 | Male | 3,033 |
| 24 | Female | 1,482 |
| 24 | Male | 3,179 |
| 25-29 | Female | 7,161 |
| 25-29 | Male | 16,627 |
| 30-34 | Female | 8,393 |
| 30-34 | Male | 19,785 |
| 35-39 | Female | 7,773 |
| 35-39 | Male | 18,104 |
| 40-44 | Female | 6,021 |
| 40-44 | Male | 14,515 |
| 45-49 | Female | 3,949 |
| 45-49 | Male | 10,533 |
| 50-54 | Female | 2,681 |
| 50-54 | Male | 7,699 |
| 55-59 | Female | 2,028 |
| 55-59 | Male | 6,213 |
| 60-64 | Female | 1,313 |
| 60-64 | Male | 4,500 |
| 65 and over | Female | 1,087 |
| 65 and over | Male | 4,160 |
| Juvenile Other | Female | 0 |
| Juvenile Other | Male | 0 |
| Adult Other | Female | 0 |
| Adult Other | Male | 0 |
Related
Sources
- FBI Crime Data Explorer — Arrests — Federal Bureau of Investigation, Criminal Justice Information Services Division · Public domain — U.S. Government work · retrieved September 19, 2026
- Census Population Estimates — state characteristics — U.S. Census Bureau
Compiled automatically from FBI Crime Data Explorer — Arrests and Census Population Estimates — state characteristics by a checked SQL query · Editor: Kian O'Connor · How this site is built
Data retrieved
Michigan elsewhere on the Factbook
- Reported crime Crime and justice
Offenses reported to police by type, the trend, and the reporting coverage.
- Most dangerous cities in Michigan Crime and justice
What each agency serving 25,000 or more reported, ranked. Agency populations overlap, so these do not add up to the state.
- Prison population Crime and justice
People held under the state’s correctional authority, and the imprisonment rate. A different publisher counting a different thing.
- Hate crime Crime and justice
Incidents reported to the FBI by bias motivation, as counts — the collection publishes no participation share, so there is no rate to compare states on.
- Federal obligations Federal spending
What federal agencies obligated against a place of performance in the state, per resident and by agency.
- Registered nonprofits Nonprofits
How many organizations the IRS lists in the state, what they report as revenue, and which kinds of work they do.
- Payments to doctors Health
What drug and device companies reported paying doctors with a practice address in the state, and the largest recipients.
- Immigration courts Immigration and the border
The EOIR courts sitting in the state, what they completed and still have pending, and how far apart their asylum grant rates are. The courts, not the state’s residents: a detention court hears cases from far outside it.
- Farm program payments Farm subsidies
What the Farm Service Agency paid through the state’s county offices, by program and by recipient. The offices that administered the payments, not a count of farms: a recipient addressed elsewhere is counted where they were paid.
- Paycheck Protection Program loans PPP loans
The PPP loans SBA guaranteed to businesses operating in the state, by county, with how many carry a forgiveness amount and how many were charged off. Loans, not businesses: a business with two draws is two loans.
- Public schools Schools
Pupils, schools and teachers, the largest districts, what districts spend per pupil and where the money comes from, and the colleges that take federal student aid.
- Banks and credit unions Banks and credit unions
The FDIC-insured banks headquartered in the state and their offices, and the credit unions based there and their sites, each per resident and against every other state.
- Housing Housing
The homes under HUD’s rental assistance programs in the state, by program and county, and its tax-credit housing, each per resident and against every other state.
- Mortgage lending Mortgage lending
The mortgage applications, loans and denials lenders reported in the state under the Home Mortgage Disclosure Act, and its largest lenders and counties.
- College athletics Sports
Every college in the state that reported to the Equity in Athletics survey, ranked by its athletics revenue, with its expenses, athletes and athletic aid.
- Federal civilian workforce Federal salaries
Federal civilian employees stationed in the state by agency and occupation, with the pay OPM publishes and the share it withholds.
- The Michigan Factbook entry Across the Factbook
Every measure the Factbook publishes for this state in one place, each with where it ranks among the others and the record it came from.
The immigration link above is EOIR’s courts, which sit in this state. CBP’s encounters are not by state and will not be: its sectors and field offices are areas of responsibility rather than a geography, and assigning them to states would be a claim the data does not make. Immigration and the border.