Counties in Minnesota by traffic fatality rate

Redwood County had the highest traffic fatality rate of 87 counties in 2017, at 51.7 per 100,000 people. Wilkin County had the lowest, at 0 per 100,000 people. The median was 8.8 per 100,000 people and the figure for Minnesota was 6.4 per 100,000 people. Source: NHTSA and BEA.

Keep it in a collection in your library.
Highest51.7Redwood County
Median8.887 counties
Minnesota6.4History

Map of counties, 2017

Aitkin County: 19.1 per 100,000 peopleAnoka County: 4.8 per 100,000 peopleBecker County: 14.5 per 100,000 peopleBeltrami County: 8.8 per 100,000 peopleBenton County: 22.2 per 100,000 peopleBig Stone County: 19.4 per 100,000 peopleBlue Earth County: 10.4 per 100,000 peopleBrown County: 7.7 per 100,000 peopleCarlton County: 16.8 per 100,000 peopleCarver County: 1 per 100,000 peopleCass County: 20.4 per 100,000 peopleChippewa County: 0 per 100,000 peopleChisago County: 14.5 per 100,000 peopleClay County: 6.2 per 100,000 peopleClearwater County: 23.5 per 100,000 peopleCook County: 0 per 100,000 peopleCottonwood County: 17.5 per 100,000 peopleCrow Wing County: 4.6 per 100,000 peopleDakota County: 2.6 per 100,000 peopleDodge County: 4.9 per 100,000 peopleDouglas County: 18.4 per 100,000 peopleFaribault County: 7.2 per 100,000 peopleFillmore County: 4.8 per 100,000 peopleFreeborn County: 9.7 per 100,000 peopleGoodhue County: 10.6 per 100,000 peopleGrant County: 50.4 per 100,000 peopleHennepin County: 3.6 per 100,000 peopleHouston County: 15.9 per 100,000 peopleHubbard County: 4.8 per 100,000 peopleIsanti County: 7.6 per 100,000 peopleItasca County: 11.1 per 100,000 peopleJackson County: 0 per 100,000 peopleKanabec County: 12.7 per 100,000 peopleKandiyohi County: 2.3 per 100,000 peopleKittson County: 0 per 100,000 peopleKoochiching County: 8 per 100,000 peopleLac qui Parle County: 0 per 100,000 peopleLake County: 37.5 per 100,000 peopleLake of the Woods County: 26.7 per 100,000 peopleLe Sueur County: 10.7 per 100,000 peopleLincoln County: 0 per 100,000 peopleLyon County: 11.6 per 100,000 peopleMcLeod County: 8.2 per 100,000 peopleMahnomen County: 0 per 100,000 peopleMarshall County: 0 per 100,000 peopleMartin County: 14.8 per 100,000 peopleMeeker County: 8.7 per 100,000 peopleMille Lacs County: 11.5 per 100,000 peopleMorrison County: 11.9 per 100,000 peopleMower County: 5 per 100,000 peopleMurray County: 0 per 100,000 peopleNicollet County: 0 per 100,000 peopleNobles County: 0 per 100,000 peopleNorman County: 0 per 100,000 peopleOlmsted County: 3.8 per 100,000 peopleOtter Tail County: 11.8 per 100,000 peoplePennington County: 14 per 100,000 peoplePine County: 31.3 per 100,000 peoplePipestone County: 10.7 per 100,000 peoplePolk County: 12.6 per 100,000 peoplePope County: 0 per 100,000 peopleRamsey County: 3.5 per 100,000 peopleRed Lake County: 0 per 100,000 peopleRedwood County: 51.7 per 100,000 peopleRenville County: 13.4 per 100,000 peopleRice County: 6 per 100,000 peopleRock County: 10.2 per 100,000 peopleRoseau County: 12.9 per 100,000 peopleSt. Louis County: 8 per 100,000 peopleScott County: 5.5 per 100,000 peopleSherburne County: 11.8 per 100,000 peopleSibley County: 26.7 per 100,000 peopleStearns County: 8.3 per 100,000 peopleSteele County: 2.7 per 100,000 peopleStevens County: 10.4 per 100,000 peopleSwift County: 50.6 per 100,000 peopleTodd County: 8 per 100,000 peopleTraverse County: 0 per 100,000 peopleWabasha County: 9.3 per 100,000 peopleWadena County: 14.4 per 100,000 peopleWaseca County: 10.5 per 100,000 peopleWashington County: 2.7 per 100,000 peopleWatonwan County: 8.9 per 100,000 peopleWilkin County: 0 per 100,000 peopleWinona County: 12 per 100,000 peopleWright County: 5.9 per 100,000 peopleYellow Medicine County: 30.6 per 100,000 people
  • Under 5
  • 5 to 8.8
  • 8.8 to 12
  • 12 to 17
  • 17 and over
per 100,000 people, 2017. Source: Invokely calculation with data from NHTSA, BEA. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2017

Redwood County: 51.7 per 100,000 peopleRedwood County51.7Swift County: 50.6 per 100,000 peopleSwift County50.6Grant County: 50.4 per 100,000 peopleGrant County50.4Lake County: 37.5 per 100,000 peopleLake County37.5Pine County: 31.3 per 100,000 peoplePine County31.3Yellow Medicine County: 30.6 per 100,000 peopleYellow Medicine County30.6Lake of the Woods County: 26.7 per 100,000 peopleLake of the Woods County26.7Sibley County: 26.7 per 100,000 peopleSibley County26.7Clearwater County: 23.5 per 100,000 peopleClearwater County23.5Benton County: 22.2 per 100,000 peopleBenton County22.2Cass County: 20.4 per 100,000 peopleCass County20.4Big Stone County: 19.4 per 100,000 peopleBig Stone County19.4Aitkin County: 19.1 per 100,000 peopleAitkin County19.1Douglas County: 18.4 per 100,000 peopleDouglas County18.4Cottonwood County: 17.5 per 100,000 peopleCottonwood County17.5Carlton County: 16.8 per 100,000 peopleCarlton County16.8Houston County: 15.9 per 100,000 peopleHouston County15.9Martin County: 14.8 per 100,000 peopleMartin County14.8Chisago County: 14.5 per 100,000 peopleChisago County14.5Becker County: 14.5 per 100,000 peopleBecker County14.5Wadena County: 14.4 per 100,000 peopleWadena County14.4Pennington County: 14 per 100,000 peoplePennington County14Renville County: 13.4 per 100,000 peopleRenville County13.4Roseau County: 12.9 per 100,000 peopleRoseau County12.9Kanabec County: 12.7 per 100,000 peopleKanabec County12.7Polk County: 12.6 per 100,000 peoplePolk County12.6Winona County: 12 per 100,000 peopleWinona County12Morrison County: 11.9 per 100,000 peopleMorrison County11.9Otter Tail County: 11.8 per 100,000 peopleOtter Tail County11.8Sherburne County: 11.8 per 100,000 peopleSherburne County11.8Lyon County: 11.6 per 100,000 peopleLyon County11.6Mille Lacs County: 11.5 per 100,000 peopleMille Lacs County11.5Itasca County: 11.1 per 100,000 peopleItasca County11.1Le Sueur County: 10.7 per 100,000 peopleLe Sueur County10.7Pipestone County: 10.7 per 100,000 peoplePipestone County10.7Goodhue County: 10.6 per 100,000 peopleGoodhue County10.6Waseca County: 10.5 per 100,000 peopleWaseca County10.5Blue Earth County: 10.4 per 100,000 peopleBlue Earth County10.4Stevens County: 10.4 per 100,000 peopleStevens County10.4Rock County: 10.2 per 100,000 peopleRock County10.2Redwood County: 51.7 per 100,000 peopleRedwood County51.7Swift County: 50.6 per 100,000 peopleSwift County50.6Grant County: 50.4 per 100,000 peopleGrant County50.4Lake County: 37.5 per 100,000 peopleLake County37.5Pine County: 31.3 per 100,000 peoplePine County31.3Yellow Medicine County: 30.6 per 100,000 peopleYellow Medicine County30.6Lake of the Woods County: 26.7 per 100,000 peopleLake of the Woods County26.7Sibley County: 26.7 per 100,000 peopleSibley County26.7Clearwater County: 23.5 per 100,000 peopleClearwater County23.5Benton County: 22.2 per 100,000 peopleBenton County22.2Cass County: 20.4 per 100,000 peopleCass County20.4Big Stone County: 19.4 per 100,000 peopleBig Stone County19.4Aitkin County: 19.1 per 100,000 peopleAitkin County19.1Douglas County: 18.4 per 100,000 peopleDouglas County18.4Cottonwood County: 17.5 per 100,000 peopleCottonwood County17.5Carlton County: 16.8 per 100,000 peopleCarlton County16.8Houston County: 15.9 per 100,000 peopleHouston County15.9Martin County: 14.8 per 100,000 peopleMartin County14.8Chisago County: 14.5 per 100,000 peopleChisago County14.5Becker County: 14.5 per 100,000 peopleBecker County14.5Wadena County: 14.4 per 100,000 peopleWadena County14.4Pennington County: 14 per 100,000 peoplePennington County14Renville County: 13.4 per 100,000 peopleRenville County13.4Roseau County: 12.9 per 100,000 peopleRoseau County12.9Kanabec County: 12.7 per 100,000 peopleKanabec County12.7Polk County: 12.6 per 100,000 peoplePolk County12.6Winona County: 12 per 100,000 peopleWinona County12Morrison County: 11.9 per 100,000 peopleMorrison County11.9Otter Tail County: 11.8 per 100,000 peopleOtter Tail County11.8Sherburne County: 11.8 per 100,000 peopleSherburne County11.8Lyon County: 11.6 per 100,000 peopleLyon County11.6Mille Lacs County: 11.5 per 100,000 peopleMille Lacs County11.5Itasca County: 11.1 per 100,000 peopleItasca County11.1Le Sueur County: 10.7 per 100,000 peopleLe Sueur County10.7Pipestone County: 10.7 per 100,000 peoplePipestone County10.7Goodhue County: 10.6 per 100,000 peopleGoodhue County10.6Waseca County: 10.5 per 100,000 peopleWaseca County10.5Blue Earth County: 10.4 per 100,000 peopleBlue Earth County10.4Stevens County: 10.4 per 100,000 peopleStevens County10.4Rock County: 10.2 per 100,000 peopleRock County10.2
per 100,000 people. Source: Invokely calculation with data from NHTSA, BEA. Retrieved 2026-10-12.

Full ranking

RankCounties2017
per 100,000 people
Change on 2016
1Redwood County51.7+32.2 pts
2Swift County50.6+30.3 pts
3Grant County50.4+50.4 pts
4Lake County37.5+28.1 pts
5Pine County31.3-3.8 pts
6Yellow Medicine County30.6+30.6 pts
7Lake of the Woods County26.7-25.9 pts
8Sibley County26.7+26.7 pts
9Clearwater County23.5+0.1 pts
10Benton County22.2+17.2 pts
11Cass County20.4-13.9 pts
12Big Stone County19.4+19.4 pts
13Aitkin County19.1-19.2 pts
14Douglas County18.4+2.4 pts
15Cottonwood County17.5+17.5 pts
16Carlton County16.8+8.4 pts
17Houston County15.9+15.9 pts
18Martin County14.8+9.9 pts
19Chisago County14.5+3.5 pts
20Becker County14.5-11.9 pts
21Wadena County14.4+7.1 pts
22Pennington County14-21 pts
23Renville County13.4+6.7 pts
24Roseau County12.9+6.6 pts
25Kanabec County12.7-0.1 pts
26Polk County12.6-6.3 pts
27Winona County12+2 pts
28Morrison County11.9-6.1 pts
29Otter Tail County11.8+8.4 pts
30Sherburne County11.8+6.3 pts
31Lyon County11.6+3.9 pts
32Mille Lacs County11.5-15.6 pts
33Itasca County11.1+4.5 pts
34Le Sueur County10.7-3.8 pts
35Pipestone County10.7-21.1 pts
36Goodhue County10.6+2.1 pts
37Waseca County10.5+5.3 pts
38Blue Earth County10.4+1.4 pts
39Stevens County10.4+0.1 pts
40Rock County10.2-20.8 pts
41Freeborn County9.7-3.3 pts
42Wabasha County9.3-9.4 pts
43Watonwan County8.9+8.9 pts
44Beltrami County8.8+2.1 pts
45Meeker County8.7-12.9 pts
46Stearns County8.3+5.1 pts
47McLeod County8.2+5.4 pts
48Todd County8-4.1 pts
49Koochiching County8-23.8 pts
50St. Louis County8-1.5 pts
51Brown County7.7+7.7 pts
52Isanti County7.6-10.5 pts
53Faribault County7.2-21.3 pts
54Clay County6.2+4.6 pts
55Rice County6-3.1 pts
56Wright County5.9+0.7 pts
57Scott County5.5-0.1 pts
58Mower County5-0 pts
59Dodge County4.9-0 pts
60Hubbard County4.8-19.6 pts
61Anoka County4.8-0.9 pts
62Fillmore County4.8-9.6 pts
63Crow Wing County4.6-7.8 pts
64Olmsted County3.8-3.9 pts
65Hennepin County3.6-0 pts
66Ramsey County3.5+0.7 pts
67Washington County2.7-2.4 pts
68Steele County2.7-10.8 pts
69Dakota County2.6-4 pts
70Kandiyohi County2.3-7 pts
71Carver County1-2 pts
72Chippewa County0-8 pts
72Cook County00 pts
72Jackson County0-9.9 pts
72Kittson County00 pts
72Lac qui Parle County00 pts
72Lincoln County00 pts
72Mahnomen County0-18.4 pts
72Marshall County0-32.6 pts
72Murray County0-24.1 pts
72Nicollet County0-5.9 pts
72Nobles County0-13.4 pts
72Norman County0-30.3 pts
72Pope County0-9.1 pts
72Red Lake County00 pts
72Traverse County00 pts
72Wilkin County00 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, 2017) [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, 2017. 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, 2017. 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, 2017 [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_2017,
  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, 2017}},
  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=2017. 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, 2017
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=2017
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=2017.
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?

Redwood County, with 51.7 per 100,000 people in 2017, according to NHTSA and BEA.

Which county has the lowest traffic fatality rate?

Wilkin County, with 0 per 100,000 people in 2017.

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