Counties in Minnesota by traffic fatality rate

Jackson County had the highest traffic fatality rate of 87 counties in 2013, at 48.3 per 100,000 people. Wilkin County had the lowest, at 0 per 100,000 people. The median was 10.6 per 100,000 people and the figure for Minnesota was 7.1 per 100,000 people. Source: NHTSA and BEA.

Keep it in a collection in your library.
Highest48.3Jackson County
Median10.687 counties
Minnesota7.1History

Map of counties, 2013

Aitkin County: 12.6 per 100,000 peopleAnoka County: 3.5 per 100,000 peopleBecker County: 9 per 100,000 peopleBeltrami County: 13.3 per 100,000 peopleBenton County: 20.5 per 100,000 peopleBig Stone County: 38.9 per 100,000 peopleBlue Earth County: 6.2 per 100,000 peopleBrown County: 7.8 per 100,000 peopleCarlton County: 8.5 per 100,000 peopleCarver County: 6.3 per 100,000 peopleCass County: 17.5 per 100,000 peopleChippewa County: 32.5 per 100,000 peopleChisago County: 11.2 per 100,000 peopleClay County: 9.9 per 100,000 peopleClearwater County: 11.6 per 100,000 peopleCook County: 19.1 per 100,000 peopleCottonwood County: 34.4 per 100,000 peopleCrow Wing County: 14.2 per 100,000 peopleDakota County: 4.6 per 100,000 peopleDodge County: 0 per 100,000 peopleDouglas County: 2.7 per 100,000 peopleFaribault County: 21.1 per 100,000 peopleFillmore County: 4.8 per 100,000 peopleFreeborn County: 6.4 per 100,000 peopleGoodhue County: 15 per 100,000 peopleGrant County: 0 per 100,000 peopleHennepin County: 3.5 per 100,000 peopleHouston County: 10.6 per 100,000 peopleHubbard County: 19.5 per 100,000 peopleIsanti County: 13.1 per 100,000 peopleItasca County: 13.3 per 100,000 peopleJackson County: 48.3 per 100,000 peopleKanabec County: 0 per 100,000 peopleKandiyohi County: 4.7 per 100,000 peopleKittson County: 44.5 per 100,000 peopleKoochiching County: 7.6 per 100,000 peopleLac qui Parle County: 0 per 100,000 peopleLake County: 37.1 per 100,000 peopleLake of the Woods County: 0 per 100,000 peopleLe Sueur County: 21.7 per 100,000 peopleLincoln County: 34.6 per 100,000 peopleLyon County: 7.8 per 100,000 peopleMcLeod County: 11 per 100,000 peopleMahnomen County: 18.4 per 100,000 peopleMarshall County: 10.7 per 100,000 peopleMartin County: 14.6 per 100,000 peopleMeeker County: 21.6 per 100,000 peopleMille Lacs County: 15.5 per 100,000 peopleMorrison County: 15.1 per 100,000 peopleMower County: 7.6 per 100,000 peopleMurray County: 0 per 100,000 peopleNicollet County: 6.1 per 100,000 peopleNobles County: 22.7 per 100,000 peopleNorman County: 45.2 per 100,000 peopleOlmsted County: 8 per 100,000 peopleOtter Tail County: 13.8 per 100,000 peoplePennington County: 0 per 100,000 peoplePine County: 24.2 per 100,000 peoplePipestone County: 10.6 per 100,000 peoplePolk County: 15.8 per 100,000 peoplePope County: 18.4 per 100,000 peopleRamsey County: 2.3 per 100,000 peopleRed Lake County: 0 per 100,000 peopleRedwood County: 19 per 100,000 peopleRenville County: 26.4 per 100,000 peopleRice County: 7.7 per 100,000 peopleRock County: 10.5 per 100,000 peopleRoseau County: 6.4 per 100,000 peopleSt. Louis County: 9.5 per 100,000 peopleScott County: 8 per 100,000 peopleSherburne County: 4.5 per 100,000 peopleSibley County: 13.3 per 100,000 peopleStearns County: 4 per 100,000 peopleSteele County: 2.7 per 100,000 peopleStevens County: 10.3 per 100,000 peopleSwift County: 10.2 per 100,000 peopleTodd County: 24.3 per 100,000 peopleTraverse County: 29 per 100,000 peopleWabasha County: 18.6 per 100,000 peopleWadena County: 7.3 per 100,000 peopleWaseca County: 10.4 per 100,000 peopleWashington County: 4.1 per 100,000 peopleWatonwan County: 8.9 per 100,000 peopleWilkin County: 0 per 100,000 peopleWinona County: 3.9 per 100,000 peopleWright County: 12.4 per 100,000 peopleYellow Medicine County: 19.9 per 100,000 people
  • Under 3.9
  • 3.9 to 7.7
  • 7.7 to 11
  • 11 to 15
  • 15 to 21
  • 21 and over
per 100,000 people, 2013. Source: Invokely calculation with data from NHTSA, BEA. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2013

Jackson County: 48.3 per 100,000 peopleJackson County48.3Norman County: 45.2 per 100,000 peopleNorman County45.2Kittson County: 44.5 per 100,000 peopleKittson County44.5Big Stone County: 38.9 per 100,000 peopleBig Stone County38.9Lake County: 37.1 per 100,000 peopleLake County37.1Lincoln County: 34.6 per 100,000 peopleLincoln County34.6Cottonwood County: 34.4 per 100,000 peopleCottonwood County34.4Chippewa County: 32.5 per 100,000 peopleChippewa County32.5Traverse County: 29 per 100,000 peopleTraverse County29Renville County: 26.4 per 100,000 peopleRenville County26.4Todd County: 24.3 per 100,000 peopleTodd County24.3Pine County: 24.2 per 100,000 peoplePine County24.2Nobles County: 22.7 per 100,000 peopleNobles County22.7Le Sueur County: 21.7 per 100,000 peopleLe Sueur County21.7Meeker County: 21.6 per 100,000 peopleMeeker County21.6Faribault County: 21.1 per 100,000 peopleFaribault County21.1Benton County: 20.5 per 100,000 peopleBenton County20.5Yellow Medicine County: 19.9 per 100,000 peopleYellow Medicine County19.9Hubbard County: 19.5 per 100,000 peopleHubbard County19.5Cook County: 19.1 per 100,000 peopleCook County19.1Redwood County: 19 per 100,000 peopleRedwood County19Wabasha County: 18.6 per 100,000 peopleWabasha County18.6Pope County: 18.4 per 100,000 peoplePope County18.4Mahnomen County: 18.4 per 100,000 peopleMahnomen County18.4Cass County: 17.5 per 100,000 peopleCass County17.5Polk County: 15.8 per 100,000 peoplePolk County15.8Mille Lacs County: 15.5 per 100,000 peopleMille Lacs County15.5Morrison County: 15.1 per 100,000 peopleMorrison County15.1Goodhue County: 15 per 100,000 peopleGoodhue County15Martin County: 14.6 per 100,000 peopleMartin County14.6Crow Wing County: 14.2 per 100,000 peopleCrow Wing County14.2Otter Tail County: 13.8 per 100,000 peopleOtter Tail County13.8Beltrami County: 13.3 per 100,000 peopleBeltrami County13.3Sibley County: 13.3 per 100,000 peopleSibley County13.3Itasca County: 13.3 per 100,000 peopleItasca County13.3Isanti County: 13.1 per 100,000 peopleIsanti County13.1Aitkin County: 12.6 per 100,000 peopleAitkin County12.6Wright County: 12.4 per 100,000 peopleWright County12.4Clearwater County: 11.6 per 100,000 peopleClearwater County11.6Chisago County: 11.2 per 100,000 peopleChisago County11.2Jackson County: 48.3 per 100,000 peopleJackson County48.3Norman County: 45.2 per 100,000 peopleNorman County45.2Kittson County: 44.5 per 100,000 peopleKittson County44.5Big Stone County: 38.9 per 100,000 peopleBig Stone County38.9Lake County: 37.1 per 100,000 peopleLake County37.1Lincoln County: 34.6 per 100,000 peopleLincoln County34.6Cottonwood County: 34.4 per 100,000 peopleCottonwood County34.4Chippewa County: 32.5 per 100,000 peopleChippewa County32.5Traverse County: 29 per 100,000 peopleTraverse County29Renville County: 26.4 per 100,000 peopleRenville County26.4Todd County: 24.3 per 100,000 peopleTodd County24.3Pine County: 24.2 per 100,000 peoplePine County24.2Nobles County: 22.7 per 100,000 peopleNobles County22.7Le Sueur County: 21.7 per 100,000 peopleLe Sueur County21.7Meeker County: 21.6 per 100,000 peopleMeeker County21.6Faribault County: 21.1 per 100,000 peopleFaribault County21.1Benton County: 20.5 per 100,000 peopleBenton County20.5Yellow Medicine County: 19.9 per 100,000 peopleYellow Medicine County19.9Hubbard County: 19.5 per 100,000 peopleHubbard County19.5Cook County: 19.1 per 100,000 peopleCook County19.1Redwood County: 19 per 100,000 peopleRedwood County19Wabasha County: 18.6 per 100,000 peopleWabasha County18.6Pope County: 18.4 per 100,000 peoplePope County18.4Mahnomen County: 18.4 per 100,000 peopleMahnomen County18.4Cass County: 17.5 per 100,000 peopleCass County17.5Polk County: 15.8 per 100,000 peoplePolk County15.8Mille Lacs County: 15.5 per 100,000 peopleMille Lacs County15.5Morrison County: 15.1 per 100,000 peopleMorrison County15.1Goodhue County: 15 per 100,000 peopleGoodhue County15Martin County: 14.6 per 100,000 peopleMartin County14.6Crow Wing County: 14.2 per 100,000 peopleCrow Wing County14.2Otter Tail County: 13.8 per 100,000 peopleOtter Tail County13.8Beltrami County: 13.3 per 100,000 peopleBeltrami County13.3Sibley County: 13.3 per 100,000 peopleSibley County13.3Itasca County: 13.3 per 100,000 peopleItasca County13.3Isanti County: 13.1 per 100,000 peopleIsanti County13.1Aitkin County: 12.6 per 100,000 peopleAitkin County12.6Wright County: 12.4 per 100,000 peopleWright County12.4Clearwater County: 11.6 per 100,000 peopleClearwater County11.6Chisago County: 11.2 per 100,000 peopleChisago County11.2
per 100,000 people. Source: Invokely calculation with data from NHTSA, BEA. Retrieved 2026-10-12.

Full ranking

RankCounties2013
per 100,000 people
Change on 2012
1Jackson County48.3+19.3 pts
2Norman County45.2+45.2 pts
3Kittson County44.5+22.3 pts
4Big Stone County38.9+19.6 pts
5Lake County37.1+27.9 pts
6Lincoln County34.6-0 pts
7Cottonwood County34.4+17.2 pts
8Chippewa County32.5-0.1 pts
9Traverse County29+29 pts
10Renville County26.4+19.9 pts
11Todd County24.3+20.3 pts
12Pine County24.2-23.9 pts
13Nobles County22.7-9.3 pts
14Le Sueur County21.7+14.4 pts
15Meeker County21.6+13 pts
16Faribault County21.1-7 pts
17Benton County20.5-0.2 pts
18Yellow Medicine County19.9+10 pts
19Hubbard County19.5+14.5 pts
20Cook County19.1+19.1 pts
21Redwood County19-18.8 pts
22Wabasha County18.6+9.3 pts
23Pope County18.4-9.2 pts
24Mahnomen County18.4-18.1 pts
25Cass County17.5-3.6 pts
26Polk County15.8-6.4 pts
27Mille Lacs County15.5+3.9 pts
28Morrison County15.1+0.1 pts
29Goodhue County15-0 pts
30Martin County14.6+9.7 pts
31Crow Wing County14.2-1.6 pts
32Otter Tail County13.8-3.6 pts
33Beltrami County13.3-2.3 pts
34Sibley County13.30 pts
35Itasca County13.3-4.5 pts
36Isanti County13.1+7.9 pts
37Aitkin County12.6-6.1 pts
38Wright County12.4+3 pts
39Clearwater County11.6+11.6 pts
40Chisago County11.2-0 pts
41McLeod County11-5.5 pts
42Marshall County10.7-10.5 pts
43Pipestone County10.6-10.5 pts
44Houston County10.6+5.3 pts
45Rock County10.5-31.3 pts
46Waseca County10.4-5.1 pts
47Stevens County10.3-0 pts
48Swift County10.2+10.2 pts
49Clay County9.9+3.2 pts
50St. Louis County9.5+4 pts
51Becker County9-3.1 pts
52Watonwan County8.9+8.9 pts
53Carlton County8.5-2.8 pts
54Scott County8+5 pts
55Olmsted County8+6.6 pts
56Brown County7.8+3.9 pts
57Lyon County7.8-7.8 pts
58Rice County7.7+1.5 pts
59Koochiching County7.6-7.6 pts
60Mower County7.6-7.6 pts
61Wadena County7.3-0 pts
62Freeborn County6.4-3.2 pts
63Roseau County6.4-6.4 pts
64Carver County6.3+5.2 pts
65Blue Earth County6.2-1.5 pts
66Nicollet County6.1-3 pts
67Fillmore County4.8-4.8 pts
68Kandiyohi County4.7-21.2 pts
69Dakota County4.6-0 pts
70Sherburne County4.5-4.5 pts
71Washington County4.1+0.8 pts
72Stearns County4-0.7 pts
73Winona County3.9-5.9 pts
74Anoka County3.5-3.9 pts
75Hennepin County3.5+0.7 pts
76Douglas County2.7-19.2 pts
77Steele County2.7-2.8 pts
78Ramsey County2.3-1.4 pts
79Dodge County0-24.7 pts
79Grant County0-16.8 pts
79Kanabec County00 pts
79Lac qui Parle County00 pts
79Lake of the Woods County00 pts
79Murray County0-23.3 pts
79Pennington County0-14.1 pts
79Red Lake County0-24.8 pts
79Wilkin 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, 2013) [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, 2013. 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, 2013. 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, 2013 [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_2013,
  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, 2013}},
  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=2013. 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, 2013
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=2013
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=2013.
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 48.3 per 100,000 people in 2013, according to NHTSA and BEA.

Which county has the lowest traffic fatality rate?

Wilkin County, with 0 per 100,000 people in 2013.

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