Counties in Minnesota by traffic fatality rate

Murray County had the highest traffic fatality rate of 87 counties in 2022, at 49.7 per 100,000 people. Watonwan County had the lowest, at 0 per 100,000 people. The median was 10.3 per 100,000 people and the figure for Minnesota was 7.8 per 100,000 people. Source: NHTSA and BEA.

Keep it in a collection in your library.
Highest49.7Murray County
Median10.387 counties
Minnesota7.8History

Map of counties, 2022

Aitkin County: 6.2 per 100,000 peopleAnoka County: 7.6 per 100,000 peopleBecker County: 2.8 per 100,000 peopleBeltrami County: 2.2 per 100,000 peopleBenton County: 9.6 per 100,000 peopleBig Stone County: 19.4 per 100,000 peopleBlue Earth County: 12.9 per 100,000 peopleBrown County: 0 per 100,000 peopleCarlton County: 13.7 per 100,000 peopleCarver County: 8.2 per 100,000 peopleCass County: 25.6 per 100,000 peopleChippewa County: 0 per 100,000 peopleChisago County: 10.4 per 100,000 peopleClay County: 12.1 per 100,000 peopleClearwater County: 11.6 per 100,000 peopleCook County: 17.4 per 100,000 peopleCottonwood County: 35 per 100,000 peopleCrow Wing County: 10.3 per 100,000 peopleDakota County: 5.4 per 100,000 peopleDodge County: 9.5 per 100,000 peopleDouglas County: 12.6 per 100,000 peopleFaribault County: 21.5 per 100,000 peopleFillmore County: 4.7 per 100,000 peopleFreeborn County: 16.3 per 100,000 peopleGoodhue County: 10.4 per 100,000 peopleGrant County: 16.3 per 100,000 peopleHennepin County: 4.8 per 100,000 peopleHouston County: 10.7 per 100,000 peopleHubbard County: 4.6 per 100,000 peopleIsanti County: 16.4 per 100,000 peopleItasca County: 8.8 per 100,000 peopleJackson County: 10.1 per 100,000 peopleKanabec County: 30.4 per 100,000 peopleKandiyohi County: 25.1 per 100,000 peopleKittson County: 24.6 per 100,000 peopleKoochiching County: 0 per 100,000 peopleLac qui Parle County: 0 per 100,000 peopleLake County: 9.2 per 100,000 peopleLake of the Woods County: 0 per 100,000 peopleLe Sueur County: 10.3 per 100,000 peopleLincoln County: 35.5 per 100,000 peopleLyon County: 11.8 per 100,000 peopleMcLeod County: 13.6 per 100,000 peopleMahnomen County: 37.4 per 100,000 peopleMarshall County: 0 per 100,000 peopleMartin County: 20.3 per 100,000 peopleMeeker County: 8.5 per 100,000 peopleMille Lacs County: 11 per 100,000 peopleMorrison County: 14.6 per 100,000 peopleMower County: 10 per 100,000 peopleMurray County: 49.7 per 100,000 peopleNicollet County: 0 per 100,000 peopleNobles County: 18.2 per 100,000 peopleNorman County: 15.7 per 100,000 peopleOlmsted County: 4.3 per 100,000 peopleOtter Tail County: 14.9 per 100,000 peoplePennington County: 0 per 100,000 peoplePine County: 27.2 per 100,000 peoplePipestone County: 21.5 per 100,000 peoplePolk County: 6.5 per 100,000 peoplePope County: 35 per 100,000 peopleRamsey County: 5.8 per 100,000 peopleRed Lake County: 0 per 100,000 peopleRedwood County: 0 per 100,000 peopleRenville County: 27.5 per 100,000 peopleRice County: 5.9 per 100,000 peopleRock County: 10.4 per 100,000 peopleRoseau County: 13 per 100,000 peopleSt. Louis County: 7.5 per 100,000 peopleScott County: 8.4 per 100,000 peopleSherburne County: 7 per 100,000 peopleSibley County: 26.7 per 100,000 peopleStearns County: 6.2 per 100,000 peopleSteele County: 5.3 per 100,000 peopleStevens County: 10.3 per 100,000 peopleSwift County: 10.2 per 100,000 peopleTodd County: 11.7 per 100,000 peopleTraverse County: 0 per 100,000 peopleWabasha County: 27.7 per 100,000 peopleWadena County: 14 per 100,000 peopleWaseca County: 5.3 per 100,000 peopleWashington County: 3.3 per 100,000 peopleWatonwan County: 0 per 100,000 peopleWilkin County: 15.7 per 100,000 peopleWinona County: 10.1 per 100,000 peopleWright County: 7.4 per 100,000 peopleYellow Medicine County: 31.6 per 100,000 people
  • Under 3.6
  • 3.6 to 7.5
  • 7.5 to 10
  • 10 to 14
  • 14 to 21
  • 21 and over
per 100,000 people, 2022. Source: Invokely calculation with data from NHTSA, BEA. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2022

Murray County: 49.7 per 100,000 peopleMurray County49.7Mahnomen County: 37.4 per 100,000 peopleMahnomen County37.4Lincoln County: 35.5 per 100,000 peopleLincoln County35.5Cottonwood County: 35 per 100,000 peopleCottonwood County35Pope County: 35 per 100,000 peoplePope County35Yellow Medicine County: 31.6 per 100,000 peopleYellow Medicine County31.6Kanabec County: 30.4 per 100,000 peopleKanabec County30.4Wabasha County: 27.7 per 100,000 peopleWabasha County27.7Renville County: 27.5 per 100,000 peopleRenville County27.5Pine County: 27.2 per 100,000 peoplePine County27.2Sibley County: 26.7 per 100,000 peopleSibley County26.7Cass County: 25.6 per 100,000 peopleCass County25.6Kandiyohi County: 25.1 per 100,000 peopleKandiyohi County25.1Kittson County: 24.6 per 100,000 peopleKittson County24.6Faribault County: 21.5 per 100,000 peopleFaribault County21.5Pipestone County: 21.5 per 100,000 peoplePipestone County21.5Martin County: 20.3 per 100,000 peopleMartin County20.3Big Stone County: 19.4 per 100,000 peopleBig Stone County19.4Nobles County: 18.2 per 100,000 peopleNobles County18.2Cook County: 17.4 per 100,000 peopleCook County17.4Isanti County: 16.4 per 100,000 peopleIsanti County16.4Grant County: 16.3 per 100,000 peopleGrant County16.3Freeborn County: 16.3 per 100,000 peopleFreeborn County16.3Norman County: 15.7 per 100,000 peopleNorman County15.7Wilkin County: 15.7 per 100,000 peopleWilkin County15.7Otter Tail County: 14.9 per 100,000 peopleOtter Tail County14.9Morrison County: 14.6 per 100,000 peopleMorrison County14.6Wadena County: 14 per 100,000 peopleWadena County14Carlton County: 13.7 per 100,000 peopleCarlton County13.7McLeod County: 13.6 per 100,000 peopleMcLeod County13.6Roseau County: 13 per 100,000 peopleRoseau County13Blue Earth County: 12.9 per 100,000 peopleBlue Earth County12.9Douglas County: 12.6 per 100,000 peopleDouglas County12.6Clay County: 12.1 per 100,000 peopleClay County12.1Lyon County: 11.8 per 100,000 peopleLyon County11.8Todd County: 11.7 per 100,000 peopleTodd County11.7Clearwater County: 11.6 per 100,000 peopleClearwater County11.6Mille Lacs County: 11 per 100,000 peopleMille Lacs County11Houston County: 10.7 per 100,000 peopleHouston County10.7Rock County: 10.4 per 100,000 peopleRock County10.4Murray County: 49.7 per 100,000 peopleMurray County49.7Mahnomen County: 37.4 per 100,000 peopleMahnomen County37.4Lincoln County: 35.5 per 100,000 peopleLincoln County35.5Cottonwood County: 35 per 100,000 peopleCottonwood County35Pope County: 35 per 100,000 peoplePope County35Yellow Medicine County: 31.6 per 100,000 peopleYellow Medicine County31.6Kanabec County: 30.4 per 100,000 peopleKanabec County30.4Wabasha County: 27.7 per 100,000 peopleWabasha County27.7Renville County: 27.5 per 100,000 peopleRenville County27.5Pine County: 27.2 per 100,000 peoplePine County27.2Sibley County: 26.7 per 100,000 peopleSibley County26.7Cass County: 25.6 per 100,000 peopleCass County25.6Kandiyohi County: 25.1 per 100,000 peopleKandiyohi County25.1Kittson County: 24.6 per 100,000 peopleKittson County24.6Faribault County: 21.5 per 100,000 peopleFaribault County21.5Pipestone County: 21.5 per 100,000 peoplePipestone County21.5Martin County: 20.3 per 100,000 peopleMartin County20.3Big Stone County: 19.4 per 100,000 peopleBig Stone County19.4Nobles County: 18.2 per 100,000 peopleNobles County18.2Cook County: 17.4 per 100,000 peopleCook County17.4Isanti County: 16.4 per 100,000 peopleIsanti County16.4Grant County: 16.3 per 100,000 peopleGrant County16.3Freeborn County: 16.3 per 100,000 peopleFreeborn County16.3Norman County: 15.7 per 100,000 peopleNorman County15.7Wilkin County: 15.7 per 100,000 peopleWilkin County15.7Otter Tail County: 14.9 per 100,000 peopleOtter Tail County14.9Morrison County: 14.6 per 100,000 peopleMorrison County14.6Wadena County: 14 per 100,000 peopleWadena County14Carlton County: 13.7 per 100,000 peopleCarlton County13.7McLeod County: 13.6 per 100,000 peopleMcLeod County13.6Roseau County: 13 per 100,000 peopleRoseau County13Blue Earth County: 12.9 per 100,000 peopleBlue Earth County12.9Douglas County: 12.6 per 100,000 peopleDouglas County12.6Clay County: 12.1 per 100,000 peopleClay County12.1Lyon County: 11.8 per 100,000 peopleLyon County11.8Todd County: 11.7 per 100,000 peopleTodd County11.7Clearwater County: 11.6 per 100,000 peopleClearwater County11.6Mille Lacs County: 11 per 100,000 peopleMille Lacs County11Houston County: 10.7 per 100,000 peopleHouston County10.7Rock County: 10.4 per 100,000 peopleRock County10.4
per 100,000 people. Source: Invokely calculation with data from NHTSA, BEA. Retrieved 2026-10-12.

Full ranking

RankCounties2022
per 100,000 people
Change on 2021
1Murray County49.7+12.8 pts
2Mahnomen County37.4+18.9 pts
3Lincoln County35.5+35.5 pts
4Cottonwood County35+35 pts
5Pope County35+17.5 pts
6Yellow Medicine County31.6+21 pts
7Kanabec County30.4+5.6 pts
8Wabasha County27.7+18.4 pts
9Renville County27.5+13.8 pts
10Pine County27.2+3.4 pts
11Sibley County26.7+13.3 pts
12Cass County25.6-13.5 pts
13Kandiyohi County25.1+11.4 pts
14Kittson County24.6+24.6 pts
15Faribault County21.5-0.1 pts
16Pipestone County21.5+10.8 pts
17Martin County20.3+15.3 pts
18Big Stone County19.4+19.4 pts
19Nobles County18.2+18.2 pts
20Cook County17.4+17.4 pts
21Isanti County16.4+6.9 pts
22Grant County16.30 pts
23Freeborn County16.3+13.1 pts
24Norman County15.7+15.7 pts
25Wilkin County15.7+0.1 pts
26Otter Tail County14.9-0.1 pts
27Morrison County14.6-8.9 pts
28Wadena County14-14.3 pts
29Carlton County13.7-5.5 pts
30McLeod County13.6-5.4 pts
31Roseau County13+6.5 pts
32Blue Earth County12.9+10 pts
33Douglas County12.6-20.5 pts
34Clay County12.1+7.6 pts
35Lyon County11.8+3.9 pts
36Todd County11.7-4.1 pts
37Clearwater County11.6-23.4 pts
38Mille Lacs County11-7.6 pts
39Houston County10.70 pts
40Rock County10.4-10.2 pts
41Goodhue County10.4-6.2 pts
42Chisago County10.4-10.5 pts
43Stevens County10.3+10.3 pts
44Crow Wing County10.3-6 pts
45Le Sueur County10.3-17.4 pts
46Swift County10.20 pts
47Jackson County10.1-29.9 pts
48Winona County10.1+4.1 pts
49Mower County100 pts
50Benton County9.6-2.4 pts
51Dodge County9.5-4.8 pts
52Lake County9.2-18.1 pts
53Itasca County8.8-8.9 pts
54Meeker County8.5+4.2 pts
55Scott County8.4+4.5 pts
56Carver County8.2-3.8 pts
57Anoka County7.6+0.2 pts
58St. Louis County7.5-2 pts
59Wright County7.4-2.2 pts
60Sherburne County7+0.9 pts
61Polk County6.5-3.2 pts
62Stearns County6.2-5.1 pts
63Aitkin County6.2-6.3 pts
64Rice County5.9-1.5 pts
65Ramsey County5.8-0.9 pts
66Dakota County5.4+1.3 pts
67Steele County5.3+5.3 pts
68Waseca County5.30 pts
69Hennepin County4.8-1 pts
70Fillmore County4.7-4.7 pts
71Hubbard County4.6-0 pts
72Olmsted County4.3+0.6 pts
73Washington County3.3-0.4 pts
74Becker County2.8-11.3 pts
75Beltrami County2.2-15.1 pts
76Brown County00 pts
76Chippewa County0-24.2 pts
76Koochiching County00 pts
76Lac qui Parle County00 pts
76Lake of the Woods County0-26.1 pts
76Marshall County0-11.1 pts
76Nicollet County0-14.6 pts
76Pennington County0-14.5 pts
76Red Lake County0-50.6 pts
76Redwood County0-6.5 pts
76Traverse County0-30.5 pts
76Watonwan County0-9 pts

Other periods

About this ranking

Traffic fatalities (NHTSA FARS) per 100,000 residents in the same year and place.

Deaths are counted where the crash happened and divided by the resident population, so counties with busy highways and few residents can show very high rates. Differs from the WHO road traffic death rate (road_traffic_death_rate).

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

Invokely calculation from NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents. https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k. Retrieved 2026-10-12.

Citation styles

Invokely calculated this figure from the publishers' data, so Invokely is the author and the publishers of the inputs are named.

APA 7

Invokely. (n.d.). NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents (Counties in Minnesota by traffic fatality rate, 2022) [Data set]. Calculated from data by NHTSA and BEA. Retrieved October 12, 2026, from https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k

MLA 9

NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents, Counties in Minnesota by traffic fatality rate, 2022. Calculated from data by NHTSA and BEA. Invokely, https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k. Accessed 12 Oct. 2026.

Chicago (author-date)

Invokely. n.d. NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents. Counties in Minnesota by traffic fatality rate, 2022. Dataset. Calculated from data by NHTSA and BEA. Accessed October 12, 2026. https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k.

Harvard

Invokely (no date) NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents, Counties in Minnesota by traffic fatality rate, 2022 [Dataset]. Calculated from data by NHTSA and BEA. Available at: https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k (Accessed: 12 October 2026).

BibTeX
@misc{invokely_counties_in_minnesota_by_2022,
  author = {{Invokely}},
  title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in Minnesota by traffic fatality rate, 2022}},
  howpublished = {Data set},
  url = {https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k},
  urldate = {2026-10-12},
  note = {Calculated from data by NHTSA and BEA. Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/minnesota-counties?period=2022. Publisher attribution: Invokely calculation from NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents. https://invokely.ai/docs/methodology\#traffic\_fatality\_rate\_per\_100k. Retrieved 2026-10-12.},
}
RIS
TY  - DATA
AU  - Invokely
TI  - NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in Minnesota by traffic fatality rate, 2022
PB  - Invokely
DB  - Invokely
UR  - https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k
L2  - https://invokely.ai/rankings/traffic-fatality-rate/minnesota-counties?period=2022
Y2  - 2026/10/12
N1  - Calculated from data by NHTSA and BEA.
N1  - Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/minnesota-counties?period=2022.
N1  - Publisher attribution: Invokely calculation from NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents. https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k. Retrieved 2026-10-12.
ER  - 
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Rank Counties in Minnesota by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"Minnesota","limit":10}
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Questions

Which county has the highest traffic fatality rate?

Murray County, with 49.7 per 100,000 people in 2022, according to NHTSA and BEA.

Which county has the lowest traffic fatality rate?

Watonwan County, with 0 per 100,000 people in 2022.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: Invokely, NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents. Retrieved 2026-10-12.

Traffic fatality rate: other rankings

Counties in Minnesota: more rankings