Counties in Minnesota by traffic fatality rate

Jackson County had the highest traffic fatality rate of 87 counties in 2015, at 58.8 per 100,000 people. Wilkin County had the lowest, at 0 per 100,000 people. The median was 11 per 100,000 people and the figure for Minnesota was 7.5 per 100,000 people. Source: NHTSA and BEA.

Keep it in a collection in your library.
Highest58.8Jackson County
Median1187 counties
Minnesota7.5History

Map of counties, 2015

Aitkin County: 38.1 per 100,000 peopleAnoka County: 3.2 per 100,000 peopleBecker County: 3 per 100,000 peopleBeltrami County: 13.3 per 100,000 peopleBenton County: 17.7 per 100,000 peopleBig Stone County: 19.6 per 100,000 peopleBlue Earth County: 18.1 per 100,000 peopleBrown County: 7.8 per 100,000 peopleCarlton County: 25.3 per 100,000 peopleCarver County: 5.1 per 100,000 peopleCass County: 13.9 per 100,000 peopleChippewa County: 32 per 100,000 peopleChisago County: 7.4 per 100,000 peopleClay County: 4.8 per 100,000 peopleClearwater County: 23.4 per 100,000 peopleCook County: 0 per 100,000 peopleCottonwood County: 51.9 per 100,000 peopleCrow Wing County: 7.9 per 100,000 peopleDakota County: 2.6 per 100,000 peopleDodge County: 9.8 per 100,000 peopleDouglas County: 5.4 per 100,000 peopleFaribault County: 28.3 per 100,000 peopleFillmore County: 9.6 per 100,000 peopleFreeborn County: 6.5 per 100,000 peopleGoodhue County: 17.1 per 100,000 peopleGrant County: 0 per 100,000 peopleHennepin County: 2.7 per 100,000 peopleHouston County: 26.6 per 100,000 peopleHubbard County: 14.7 per 100,000 peopleIsanti County: 39.2 per 100,000 peopleItasca County: 13.3 per 100,000 peopleJackson County: 58.8 per 100,000 peopleKanabec County: 12.7 per 100,000 peopleKandiyohi County: 18.6 per 100,000 peopleKittson County: 0 per 100,000 peopleKoochiching County: 7.8 per 100,000 peopleLac qui Parle County: 28.7 per 100,000 peopleLake County: 28.1 per 100,000 peopleLake of the Woods County: 0 per 100,000 peopleLe Sueur County: 21.7 per 100,000 peopleLincoln County: 0 per 100,000 peopleLyon County: 11.6 per 100,000 peopleMcLeod County: 11 per 100,000 peopleMahnomen County: 18.5 per 100,000 peopleMarshall County: 10.8 per 100,000 peopleMartin County: 4.9 per 100,000 peopleMeeker County: 17.3 per 100,000 peopleMille Lacs County: 15.6 per 100,000 peopleMorrison County: 27.1 per 100,000 peopleMower County: 5.1 per 100,000 peopleMurray County: 11.9 per 100,000 peopleNicollet County: 6 per 100,000 peopleNobles County: 13.5 per 100,000 peopleNorman County: 44.9 per 100,000 peopleOlmsted County: 9.1 per 100,000 peopleOtter Tail County: 15.5 per 100,000 peoplePennington County: 21 per 100,000 peoplePine County: 31.3 per 100,000 peoplePipestone County: 21.1 per 100,000 peoplePolk County: 12.6 per 100,000 peoplePope County: 0 per 100,000 peopleRamsey County: 3.3 per 100,000 peopleRed Lake County: 0 per 100,000 peopleRedwood County: 12.8 per 100,000 peopleRenville County: 13.4 per 100,000 peopleRice County: 7.7 per 100,000 peopleRock County: 0 per 100,000 peopleRoseau County: 0 per 100,000 peopleSt. Louis County: 8 per 100,000 peopleScott County: 4.9 per 100,000 peopleSherburne County: 12.1 per 100,000 peopleSibley County: 40.2 per 100,000 peopleStearns County: 7.8 per 100,000 peopleSteele County: 10.8 per 100,000 peopleStevens County: 10.2 per 100,000 peopleSwift County: 30.8 per 100,000 peopleTodd County: 8.1 per 100,000 peopleTraverse County: 0 per 100,000 peopleWabasha County: 14.1 per 100,000 peopleWadena County: 28.9 per 100,000 peopleWaseca County: 5.2 per 100,000 peopleWashington County: 4.8 per 100,000 peopleWatonwan County: 8.9 per 100,000 peopleWilkin County: 0 per 100,000 peopleWinona County: 2 per 100,000 peopleWright County: 6.1 per 100,000 peopleYellow Medicine County: 40.8 per 100,000 people
  • Under 3
  • 3 to 7.6
  • 7.6 to 11
  • 11 to 16
  • 16 to 27
  • 27 and over
per 100,000 people, 2015. Source: Invokely calculation with data from NHTSA, BEA. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2015

Jackson County: 58.8 per 100,000 peopleJackson County58.8Cottonwood County: 51.9 per 100,000 peopleCottonwood County51.9Norman County: 44.9 per 100,000 peopleNorman County44.9Yellow Medicine County: 40.8 per 100,000 peopleYellow Medicine County40.8Sibley County: 40.2 per 100,000 peopleSibley County40.2Isanti County: 39.2 per 100,000 peopleIsanti County39.2Aitkin County: 38.1 per 100,000 peopleAitkin County38.1Chippewa County: 32 per 100,000 peopleChippewa County32Pine County: 31.3 per 100,000 peoplePine County31.3Swift County: 30.8 per 100,000 peopleSwift County30.8Wadena County: 28.9 per 100,000 peopleWadena County28.9Lac qui Parle County: 28.7 per 100,000 peopleLac qui Parle County28.7Faribault County: 28.3 per 100,000 peopleFaribault County28.3Lake County: 28.1 per 100,000 peopleLake County28.1Morrison County: 27.1 per 100,000 peopleMorrison County27.1Houston County: 26.6 per 100,000 peopleHouston County26.6Carlton County: 25.3 per 100,000 peopleCarlton County25.3Clearwater County: 23.4 per 100,000 peopleClearwater County23.4Le Sueur County: 21.7 per 100,000 peopleLe Sueur County21.7Pipestone County: 21.1 per 100,000 peoplePipestone County21.1Pennington County: 21 per 100,000 peoplePennington County21Big Stone County: 19.6 per 100,000 peopleBig Stone County19.6Kandiyohi County: 18.6 per 100,000 peopleKandiyohi County18.6Mahnomen County: 18.5 per 100,000 peopleMahnomen County18.5Blue Earth County: 18.1 per 100,000 peopleBlue Earth County18.1Benton County: 17.7 per 100,000 peopleBenton County17.7Meeker County: 17.3 per 100,000 peopleMeeker County17.3Goodhue County: 17.1 per 100,000 peopleGoodhue County17.1Mille Lacs County: 15.6 per 100,000 peopleMille Lacs County15.6Otter Tail County: 15.5 per 100,000 peopleOtter Tail County15.5Hubbard County: 14.7 per 100,000 peopleHubbard County14.7Wabasha County: 14.1 per 100,000 peopleWabasha County14.1Cass County: 13.9 per 100,000 peopleCass County13.9Nobles County: 13.5 per 100,000 peopleNobles County13.5Renville County: 13.4 per 100,000 peopleRenville County13.4Beltrami County: 13.3 per 100,000 peopleBeltrami County13.3Itasca County: 13.3 per 100,000 peopleItasca County13.3Redwood County: 12.8 per 100,000 peopleRedwood County12.8Kanabec County: 12.7 per 100,000 peopleKanabec County12.7Polk County: 12.6 per 100,000 peoplePolk County12.6Jackson County: 58.8 per 100,000 peopleJackson County58.8Cottonwood County: 51.9 per 100,000 peopleCottonwood County51.9Norman County: 44.9 per 100,000 peopleNorman County44.9Yellow Medicine County: 40.8 per 100,000 peopleYellow Medicine County40.8Sibley County: 40.2 per 100,000 peopleSibley County40.2Isanti County: 39.2 per 100,000 peopleIsanti County39.2Aitkin County: 38.1 per 100,000 peopleAitkin County38.1Chippewa County: 32 per 100,000 peopleChippewa County32Pine County: 31.3 per 100,000 peoplePine County31.3Swift County: 30.8 per 100,000 peopleSwift County30.8Wadena County: 28.9 per 100,000 peopleWadena County28.9Lac qui Parle County: 28.7 per 100,000 peopleLac qui Parle County28.7Faribault County: 28.3 per 100,000 peopleFaribault County28.3Lake County: 28.1 per 100,000 peopleLake County28.1Morrison County: 27.1 per 100,000 peopleMorrison County27.1Houston County: 26.6 per 100,000 peopleHouston County26.6Carlton County: 25.3 per 100,000 peopleCarlton County25.3Clearwater County: 23.4 per 100,000 peopleClearwater County23.4Le Sueur County: 21.7 per 100,000 peopleLe Sueur County21.7Pipestone County: 21.1 per 100,000 peoplePipestone County21.1Pennington County: 21 per 100,000 peoplePennington County21Big Stone County: 19.6 per 100,000 peopleBig Stone County19.6Kandiyohi County: 18.6 per 100,000 peopleKandiyohi County18.6Mahnomen County: 18.5 per 100,000 peopleMahnomen County18.5Blue Earth County: 18.1 per 100,000 peopleBlue Earth County18.1Benton County: 17.7 per 100,000 peopleBenton County17.7Meeker County: 17.3 per 100,000 peopleMeeker County17.3Goodhue County: 17.1 per 100,000 peopleGoodhue County17.1Mille Lacs County: 15.6 per 100,000 peopleMille Lacs County15.6Otter Tail County: 15.5 per 100,000 peopleOtter Tail County15.5Hubbard County: 14.7 per 100,000 peopleHubbard County14.7Wabasha County: 14.1 per 100,000 peopleWabasha County14.1Cass County: 13.9 per 100,000 peopleCass County13.9Nobles County: 13.5 per 100,000 peopleNobles County13.5Renville County: 13.4 per 100,000 peopleRenville County13.4Beltrami County: 13.3 per 100,000 peopleBeltrami County13.3Itasca County: 13.3 per 100,000 peopleItasca County13.3Redwood County: 12.8 per 100,000 peopleRedwood County12.8Kanabec County: 12.7 per 100,000 peopleKanabec County12.7Polk County: 12.6 per 100,000 peoplePolk County12.6
per 100,000 people. Source: Invokely calculation with data from NHTSA, BEA. Retrieved 2026-10-12.

Full ranking

RankCounties2015
per 100,000 people
Change on 2014
1Jackson County58.8+58.8 pts
2Cottonwood County51.9+43.3 pts
3Norman County44.9+44.9 pts
4Yellow Medicine County40.8+20.7 pts
5Sibley County40.2+26.8 pts
6Isanti County39.2+18.3 pts
7Aitkin County38.1+12.7 pts
8Chippewa County32-8.4 pts
9Pine County31.3+17.4 pts
10Swift County30.8+10.4 pts
11Wadena County28.9+7.1 pts
12Lac qui Parle County28.7+14.4 pts
13Faribault County28.3+14.3 pts
14Lake County28.1+28.1 pts
15Morrison County27.1+3 pts
16Houston County26.6+26.6 pts
17Carlton County25.3+22.5 pts
18Clearwater County23.4+11.7 pts
19Le Sueur County21.7+18.1 pts
20Pipestone County21.1+21.1 pts
21Pennington County21+13.9 pts
22Big Stone County19.6+19.6 pts
23Kandiyohi County18.6-9.4 pts
24Mahnomen County18.5+0.2 pts
25Blue Earth County18.1+13.6 pts
26Benton County17.7+15.1 pts
27Meeker County17.3+8.7 pts
28Goodhue County17.1-4.4 pts
29Mille Lacs County15.6-15.5 pts
30Otter Tail County15.5+10.3 pts
31Hubbard County14.7-4.9 pts
32Wabasha County14.1-4.6 pts
33Cass County13.9-7.1 pts
34Nobles County13.5+4.5 pts
35Renville County13.4-13.2 pts
36Beltrami County13.30 pts
37Itasca County13.3+8.9 pts
38Redwood County12.8+6.4 pts
39Kanabec County12.7+6.4 pts
40Polk County12.6+3.2 pts
41Sherburne County12.1+9.9 pts
42Murray County11.9-11.8 pts
43Lyon County11.6-3.9 pts
44McLeod County11+5.5 pts
45Steele County10.8-5.5 pts
46Marshall County10.80 pts
47Stevens County10.2+10.2 pts
48Dodge County9.8-4.9 pts
49Fillmore County9.60 pts
50Olmsted County9.1+3.9 pts
51Watonwan County8.9-9 pts
52Todd County8.1-4.1 pts
53St. Louis County8+4 pts
54Crow Wing County7.9-7.9 pts
55Koochiching County7.8+7.8 pts
56Stearns County7.8+1.9 pts
57Brown County7.8-19.5 pts
58Rice County7.7-1.6 pts
59Chisago County7.4-7.5 pts
60Freeborn County6.5-3.2 pts
61Wright County6.1-6.2 pts
62Nicollet County6-12 pts
63Douglas County5.4-10.9 pts
64Waseca County5.2-5.2 pts
65Mower County5.1+2.5 pts
66Carver County5.1-5.2 pts
67Scott County4.9+1.4 pts
68Martin County4.9+4.9 pts
69Clay County4.8-1.7 pts
70Washington County4.8+1.6 pts
71Ramsey County3.3+1.1 pts
72Anoka County3.2-1.5 pts
73Becker County3-6 pts
74Hennepin County2.7-0.1 pts
75Dakota County2.6+0.2 pts
76Winona County2-9.8 pts
77Cook County0-18.8 pts
77Grant County0-50.5 pts
77Kittson County00 pts
77Lake of the Woods County0-25.7 pts
77Lincoln County0-17.3 pts
77Pope County00 pts
77Red Lake County00 pts
77Rock County0-52.3 pts
77Roseau County0-38 pts
77Traverse County00 pts
77Wilkin 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, 2015) [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, 2015. 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, 2015. 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, 2015 [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_2015,
  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, 2015}},
  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=2015. 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, 2015
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=2015
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=2015.
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.
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Questions

Which county has the highest traffic fatality rate?

Jackson County, with 58.8 per 100,000 people in 2015, according to NHTSA and BEA.

Which county has the lowest traffic fatality rate?

Wilkin County, with 0 per 100,000 people in 2015.

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