Counties in Minnesota by traffic fatalities, 2024
Hennepin County had the highest traffic fatalities of 87 counties in 2024, at 55. Swift County had the lowest, at 0. The median was 4 and the figure for Minnesota was 477. Source: National Highway Traffic Safety Administration.
Map of counties, 2024
- Under 1
- 1 to 2
- 2 to 4
- 4 to 5
- 5 to 8
- 8 and over
Top 40 counties, 2024
Full ranking
| Rank | Counties | 2024 | Change on 2023 |
|---|---|---|---|
| 1 | Hennepin County Provisional | 55 | 0% |
| 2 | Ramsey County Provisional | 28 | +27.3% |
| 3 | St. Louis County Provisional | 25 | -3.8% |
| 4 | Dakota County Provisional | 23 | +43.8% |
| 5 | Wright County Provisional | 15 | +25% |
| 6 | Anoka County Provisional | 13 | -38.1% |
| 7 | Stearns County Provisional | 12 | -25% |
| 8 | Olmsted County Provisional | 11 | +120% |
| 8 | Sherburne County Provisional | 11 | -35.3% |
| 10 | Cass County Provisional | 10 | +900% |
| 10 | Otter Tail County Provisional | 10 | +400% |
| 12 | Becker County Provisional | 9 | +50% |
| 12 | Crow Wing County Provisional | 9 | +350% |
| 12 | Kandiyohi County Provisional | 9 | -30.8% |
| 15 | Beltrami County Provisional | 8 | +14.3% |
| 15 | Kanabec County Provisional | 8 | +700% |
| 15 | Scott County Provisional | 8 | +100% |
| 15 | Washington County Provisional | 8 | -55.6% |
| 19 | Benton County Provisional | 7 | +75% |
| 19 | Carver County Provisional | 7 | +40% |
| 19 | Chisago County Provisional | 7 | +133.3% |
| 19 | Clay County Provisional | 7 | +16.7% |
| 19 | Itasca County Provisional | 7 | 0% |
| 19 | Le Sueur County Provisional | 7 | +133.3% |
| 19 | Morrison County Provisional | 7 | +16.7% |
| 19 | Winona County Provisional | 7 | +133.3% |
| 27 | Aitkin County Provisional | 6 | +100% |
| 27 | Cottonwood County Provisional | 6 | |
| 27 | Steele County Provisional | 6 | +500% |
| 30 | Carlton County Provisional | 5 | +66.7% |
| 30 | Freeborn County Provisional | 5 | 0% |
| 30 | Isanti County Provisional | 5 | +400% |
| 30 | Koochiching County Provisional | 5 | +400% |
| 30 | Mille Lacs County Provisional | 5 | +66.7% |
| 30 | Pine County Provisional | 5 | +25% |
| 36 | Blue Earth County Provisional | 4 | +33.3% |
| 36 | Brown County Provisional | 4 | 0% |
| 36 | Goodhue County Provisional | 4 | +33.3% |
| 36 | Hubbard County Provisional | 4 | +300% |
| 36 | McLeod County Provisional | 4 | -33.3% |
| 36 | Nobles County Provisional | 4 | +100% |
| 36 | Pennington County Provisional | 4 | +300% |
| 36 | Renville County Provisional | 4 | 0% |
| 36 | Rice County Provisional | 4 | -66.7% |
| 36 | Todd County Provisional | 4 | +300% |
| 46 | Faribault County Provisional | 3 | -40% |
| 46 | Lyon County Provisional | 3 | +50% |
| 46 | Nicollet County Provisional | 3 | +50% |
| 46 | Pope County Provisional | 3 | +200% |
| 46 | Roseau County Provisional | 3 | |
| 46 | Wadena County Provisional | 3 | +200% |
| 52 | Chippewa County Provisional | 2 | -50% |
| 52 | Dodge County Provisional | 2 | 0% |
| 52 | Fillmore County Provisional | 2 | -60% |
| 52 | Houston County Provisional | 2 | -50% |
| 52 | Jackson County Provisional | 2 | +100% |
| 52 | Lac qui Parle County Provisional | 2 | +100% |
| 52 | Lake County Provisional | 2 | 0% |
| 52 | Mahnomen County Provisional | 2 | 0% |
| 52 | Martin County Provisional | 2 | 0% |
| 52 | Meeker County Provisional | 2 | +100% |
| 52 | Mower County Provisional | 2 | -33.3% |
| 52 | Polk County Provisional | 2 | +100% |
| 52 | Redwood County Provisional | 2 | -50% |
| 52 | Stevens County Provisional | 2 | |
| 52 | Traverse County Provisional | 2 | |
| 67 | Clearwater County Provisional | 1 | 0% |
| 67 | Cook County Provisional | 1 | |
| 67 | Douglas County Provisional | 1 | -75% |
| 67 | Lincoln County Provisional | 1 | |
| 67 | Murray County Provisional | 1 | |
| 67 | Norman County Provisional | 1 | 0% |
| 67 | Red Lake County Provisional | 1 | |
| 67 | Rock County Provisional | 1 | |
| 67 | Wabasha County Provisional | 1 | -66.7% |
| 67 | Waseca County Provisional | 1 | 0% |
| 67 | Watonwan County Provisional | 1 | -50% |
| 67 | Wilkin County Provisional | 1 | |
| 67 | Yellow Medicine County Provisional | 1 | |
| 80 | Big Stone County Provisional | 0 | |
| 80 | Grant County Provisional | 0 | -100% |
| 80 | Kittson County Provisional | 0 | -100% |
| 80 | Lake of the Woods County Provisional | 0 | -100% |
| 80 | Marshall County Provisional | 0 | -100% |
| 80 | Pipestone County Provisional | 0 | |
| 80 | Sibley County Provisional | 0 | -100% |
| 80 | Swift County Provisional | 0 | -100% |
Other periods
About this ranking
People killed in motor vehicle traffic crashes during the year. FARS counts people who die within 30 days of a crash involving a motor vehicle travelling on a public road, by the place of the crash, not of residence.
A police-based count of deaths. It differs from death certificate counts (CDC) and from the WHO road traffic death rate (road_traffic_death_rate), which is modelled for international comparison.
Every value in the ranking comes from the same publisher and the same period, so the counties are compared on one definition. Equal values share a rank.
How to cite
National Highway Traffic Safety Administration (NHTSA), Fatality Analysis Reporting System. Fatality Analysis Reporting System (FARS), national CSV files: people killed (sum of FATALS in accident.csv) by county of the crash. https://static.nhtsa.gov/nhtsa/downloads/FARS/2024/National/FARS2024NationalCSV.zip. Retrieved 2026-10-12.
Citation styles
APA 7
National Highway Traffic Safety Administration. (2026). Fatality Analysis Reporting System (FARS), national CSV files: people killed (sum of FATALS in accident.csv) by county of the crash (Counties in Minnesota by traffic fatalities, 2024) [Data set]. Retrieved October 12, 2026, from https://static.nhtsa.gov/nhtsa/downloads/FARS/2024/National/FARS2024NationalCSV.zip
MLA 9
Fatality Analysis Reporting System (FARS), national CSV files: people killed (sum of FATALS in accident.csv) by county of the crash, Counties in Minnesota by traffic fatalities, 2024. National Highway Traffic Safety Administration, 24 June 2026, https://static.nhtsa.gov/nhtsa/downloads/FARS/2024/National/FARS2024NationalCSV.zip. Invokely, https://invokely.ai/rankings/traffic-fatalities/minnesota-counties. Accessed 12 Oct. 2026.
Chicago (author-date)
National Highway Traffic Safety Administration. 2026. Fatality Analysis Reporting System (FARS), national CSV files: people killed (sum of FATALS in accident.csv) by county of the crash. Counties in Minnesota by traffic fatalities, 2024. Dataset. Accessed October 12, 2026. https://static.nhtsa.gov/nhtsa/downloads/FARS/2024/National/FARS2024NationalCSV.zip. Also distributed by Invokely, https://invokely.ai/rankings/traffic-fatalities/minnesota-counties.
Harvard
National Highway Traffic Safety Administration (2026) Fatality Analysis Reporting System (FARS), national CSV files: people killed (sum of FATALS in accident.csv) by county of the crash, Counties in Minnesota by traffic fatalities, 2024 [Dataset]. Available at: https://static.nhtsa.gov/nhtsa/downloads/FARS/2024/National/FARS2024NationalCSV.zip, via Invokely: https://invokely.ai/rankings/traffic-fatalities/minnesota-counties (Accessed: 12 October 2026).
BibTeX
@misc{national_counties_in_minnesota_by_2024,
author = {{National Highway Traffic Safety Administration}},
title = {{Fatality Analysis Reporting System (FARS), national CSV files: people killed (sum of FATALS in accident.csv) by county of the crash: Counties in Minnesota by traffic fatalities, 2024}},
year = {2026},
howpublished = {Data set},
url = {https://static.nhtsa.gov/nhtsa/downloads/FARS/2024/National/FARS2024NationalCSV.zip},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/traffic-fatalities/minnesota-counties. Publisher attribution: National Highway Traffic Safety Administration (NHTSA), Fatality Analysis Reporting System. Fatality Analysis Reporting System (FARS), national CSV files: people killed (sum of FATALS in accident.csv) by county of the crash. https://static.nhtsa.gov/nhtsa/downloads/FARS/2024/National/FARS2024NationalCSV.zip. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - National Highway Traffic Safety Administration
TI - Fatality Analysis Reporting System (FARS), national CSV files: people killed (sum of FATALS in accident.csv) by county of the crash: Counties in Minnesota by traffic fatalities, 2024
PY - 2026
DA - 2026/06/24
PB - National Highway Traffic Safety Administration
DB - Invokely
UR - https://static.nhtsa.gov/nhtsa/downloads/FARS/2024/National/FARS2024NationalCSV.zip
L2 - https://invokely.ai/rankings/traffic-fatalities/minnesota-counties
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/traffic-fatalities/minnesota-counties.
N1 - Publisher attribution: National Highway Traffic Safety Administration (NHTSA), Fatality Analysis Reporting System. Fatality Analysis Reporting System (FARS), national CSV files: people killed (sum of FATALS in accident.csv) by county of the crash. https://static.nhtsa.gov/nhtsa/downloads/FARS/2024/National/FARS2024NationalCSV.zip. Retrieved 2026-10-12.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank Counties in Minnesota by traffic fatalities using official data, and cite the source.
rank_places {"indicator":"traffic_fatalities","level":"province","within":"Minnesota","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatalities&level=province&within=Minnesota&limit=10
Questions
Which county has the highest traffic fatalities?
Hennepin County, with 55 in 2024, according to National Highway Traffic Safety Administration.
Which county has the lowest traffic fatalities?
Swift County, with 0 in 2024.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: National Highway Traffic Safety Administration, Fatality Analysis Reporting System (FARS), national CSV files: people killed (sum of FATALS in accident.csv) by county of the crash. Retrieved 2026-10-12.
Traffic fatalities: other rankings
Counties in Minnesota: more rankings
- Diagnosed diabetes in adults, local model estimate
- High cholesterol in screened adults, local model estimate
- Adult cigarette smoking rate, local model estimate
- High blood pressure in adults, local model estimate
- Crude birth rate, July to June
- Population speaking a language other than English at home
- Graduate or professional degree, population 25 and over
- Population under 18