Counties in South Dakota by traffic fatality rate

Hanson County had the highest traffic fatality rate of 66 counties in 2015, at 207.5 per 100,000 people. Ziebach County had the lowest, at 0 per 100,000 people. The median was 13.7 per 100,000 people and the figure for South Dakota was 15.7 per 100,000 people. Source: NHTSA and BEA.

Keep it in a collection in your library.
Highest207.5Hanson County
Median13.766 counties
South Dakota15.7History

Map of counties, 2015

Aurora County: 109.1 per 100,000 peopleBeadle County: 21.7 per 100,000 peopleBennett County: 29.5 per 100,000 peopleBon Homme County: 0 per 100,000 peopleBrookings County: 6 per 100,000 peopleBrown County: 2.6 per 100,000 peopleBrule County: 0 per 100,000 peopleBuffalo County: 0 per 100,000 peopleButte County: 9.9 per 100,000 peopleCampbell County: 71 per 100,000 peopleCharles Mix County: 10.6 per 100,000 peopleClark County: 0 per 100,000 peopleClay County: 14.1 per 100,000 peopleCodington County: 7.2 per 100,000 peopleCorson County: 0 per 100,000 peopleCuster County: 61.8 per 100,000 peopleDavison County: 15 per 100,000 peopleDay County: 36.1 per 100,000 peopleDeuel County: 0 per 100,000 peopleDewey County: 0 per 100,000 peopleDouglas County: 0 per 100,000 peopleEdmunds County: 147.2 per 100,000 peopleFall River County: 14.4 per 100,000 peopleFaulk County: 90.4 per 100,000 peopleGrant County: 13.3 per 100,000 peopleGregory County: 49 per 100,000 peopleHaakon County: 0 per 100,000 peopleHamlin County: 16.8 per 100,000 peopleHand County: 30.2 per 100,000 peopleHanson County: 207.5 per 100,000 peopleHarding County: 79.1 per 100,000 peopleHughes County: 5.6 per 100,000 peopleHutchinson County: 27.3 per 100,000 peopleHyde County: 0 per 100,000 peopleJackson County: 99.8 per 100,000 peopleJerauld County: 0 per 100,000 peopleJones County: 110 per 100,000 peopleKingsbury County: 0 per 100,000 peopleLake County: 0 per 100,000 peopleLawrence County: 32.4 per 100,000 peopleLincoln County: 7.4 per 100,000 peopleLyman County: 0 per 100,000 peopleMcCook County: 18 per 100,000 peopleMcPherson County: 0 per 100,000 peopleMarshall County: 22.1 per 100,000 peopleMeade County: 21.8 per 100,000 peopleMellette County: 103.1 per 100,000 peopleMiner County: 44.2 per 100,000 peopleMinnehaha County: 5.4 per 100,000 peopleMoody County: 63 per 100,000 peopleOglala Lakota County: 42.4 per 100,000 peoplePennington County: 15.3 per 100,000 peoplePerkins County: 0 per 100,000 peoplePotter County: 0 per 100,000 peopleRoberts County: 39.3 per 100,000 peopleSanborn County: 42.4 per 100,000 peopleSpink County: 0 per 100,000 peopleStanley County: 0 per 100,000 peopleSully County: 69.9 per 100,000 peopleTodd County: 0 per 100,000 peopleTripp County: 0 per 100,000 peopleTurner County: 12 per 100,000 peopleUnion County: 13.1 per 100,000 peopleWalworth County: 37 per 100,000 peopleYankton County: 30.4 per 100,000 peopleZiebach County: 0 per 100,000 people
  • Under 2
  • 2 to 14
  • 14 to 30
  • 30 to 62
  • 62 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

Hanson County: 207.5 per 100,000 peopleHanson County207.5Edmunds County: 147.2 per 100,000 peopleEdmunds County147.2Jones County: 110 per 100,000 peopleJones County110Aurora County: 109.1 per 100,000 peopleAurora County109.1Mellette County: 103.1 per 100,000 peopleMellette County103.1Jackson County: 99.8 per 100,000 peopleJackson County99.8Faulk County: 90.4 per 100,000 peopleFaulk County90.4Harding County: 79.1 per 100,000 peopleHarding County79.1Campbell County: 71 per 100,000 peopleCampbell County71Sully County: 69.9 per 100,000 peopleSully County69.9Moody County: 63 per 100,000 peopleMoody County63Custer County: 61.8 per 100,000 peopleCuster County61.8Gregory County: 49 per 100,000 peopleGregory County49Miner County: 44.2 per 100,000 peopleMiner County44.2Sanborn County: 42.4 per 100,000 peopleSanborn County42.4Oglala Lakota County: 42.4 per 100,000 peopleOglala Lakota County42.4Roberts County: 39.3 per 100,000 peopleRoberts County39.3Walworth County: 37 per 100,000 peopleWalworth County37Day County: 36.1 per 100,000 peopleDay County36.1Lawrence County: 32.4 per 100,000 peopleLawrence County32.4Yankton County: 30.4 per 100,000 peopleYankton County30.4Hand County: 30.2 per 100,000 peopleHand County30.2Bennett County: 29.5 per 100,000 peopleBennett County29.5Hutchinson County: 27.3 per 100,000 peopleHutchinson County27.3Marshall County: 22.1 per 100,000 peopleMarshall County22.1Meade County: 21.8 per 100,000 peopleMeade County21.8Beadle County: 21.7 per 100,000 peopleBeadle County21.7McCook County: 18 per 100,000 peopleMcCook County18Hamlin County: 16.8 per 100,000 peopleHamlin County16.8Pennington County: 15.3 per 100,000 peoplePennington County15.3Davison County: 15 per 100,000 peopleDavison County15Fall River County: 14.4 per 100,000 peopleFall River County14.4Clay County: 14.1 per 100,000 peopleClay County14.1Grant County: 13.3 per 100,000 peopleGrant County13.3Union County: 13.1 per 100,000 peopleUnion County13.1Turner County: 12 per 100,000 peopleTurner County12Charles Mix County: 10.6 per 100,000 peopleCharles Mix County10.6Butte County: 9.9 per 100,000 peopleButte County9.9Lincoln County: 7.4 per 100,000 peopleLincoln County7.4Codington County: 7.2 per 100,000 peopleCodington County7.2Hanson County: 207.5 per 100,000 peopleHanson County207.5Edmunds County: 147.2 per 100,000 peopleEdmunds County147.2Jones County: 110 per 100,000 peopleJones County110Aurora County: 109.1 per 100,000 peopleAurora County109.1Mellette County: 103.1 per 100,000 peopleMellette County103.1Jackson County: 99.8 per 100,000 peopleJackson County99.8Faulk County: 90.4 per 100,000 peopleFaulk County90.4Harding County: 79.1 per 100,000 peopleHarding County79.1Campbell County: 71 per 100,000 peopleCampbell County71Sully County: 69.9 per 100,000 peopleSully County69.9Moody County: 63 per 100,000 peopleMoody County63Custer County: 61.8 per 100,000 peopleCuster County61.8Gregory County: 49 per 100,000 peopleGregory County49Miner County: 44.2 per 100,000 peopleMiner County44.2Sanborn County: 42.4 per 100,000 peopleSanborn County42.4Oglala Lakota County: 42.4 per 100,000 peopleOglala Lakota County42.4Roberts County: 39.3 per 100,000 peopleRoberts County39.3Walworth County: 37 per 100,000 peopleWalworth County37Day County: 36.1 per 100,000 peopleDay County36.1Lawrence County: 32.4 per 100,000 peopleLawrence County32.4Yankton County: 30.4 per 100,000 peopleYankton County30.4Hand County: 30.2 per 100,000 peopleHand County30.2Bennett County: 29.5 per 100,000 peopleBennett County29.5Hutchinson County: 27.3 per 100,000 peopleHutchinson County27.3Marshall County: 22.1 per 100,000 peopleMarshall County22.1Meade County: 21.8 per 100,000 peopleMeade County21.8Beadle County: 21.7 per 100,000 peopleBeadle County21.7McCook County: 18 per 100,000 peopleMcCook County18Hamlin County: 16.8 per 100,000 peopleHamlin County16.8Pennington County: 15.3 per 100,000 peoplePennington County15.3Davison County: 15 per 100,000 peopleDavison County15Fall River County: 14.4 per 100,000 peopleFall River County14.4Clay County: 14.1 per 100,000 peopleClay County14.1Grant County: 13.3 per 100,000 peopleGrant County13.3Union County: 13.1 per 100,000 peopleUnion County13.1Turner County: 12 per 100,000 peopleTurner County12Charles Mix County: 10.6 per 100,000 peopleCharles Mix County10.6Butte County: 9.9 per 100,000 peopleButte County9.9Lincoln County: 7.4 per 100,000 peopleLincoln County7.4Codington County: 7.2 per 100,000 peopleCodington County7.2
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
1Hanson County207.5+178.2 pts
2Edmunds County147.2+72.8 pts
3Jones County110+4.6 pts
4Aurora County109.1+72.7 pts
5Mellette County103.1+53 pts
6Jackson County99.8+34.3 pts
7Faulk County90.4+90.4 pts
8Harding County79.1-1.5 pts
9Campbell County71+71 pts
10Sully County69.9+69.9 pts
11Moody County63+15.8 pts
12Custer County61.8+25 pts
13Gregory County49-23.5 pts
14Miner County44.2+44.2 pts
15Sanborn County42.4-0.3 pts
16Oglala Lakota County42.4+28.2 pts
17Roberts County39.3+19.8 pts
18Walworth County37-35.7 pts
19Day County36.10 pts
20Lawrence County32.4+8 pts
21Yankton County30.4-8.8 pts
22Hand County30.2+30.2 pts
23Bennett County29.5+0.3 pts
24Hutchinson County27.3+13.5 pts
25Marshall County22.1-0.2 pts
26Meade County21.8-0.2 pts
27Beadle County21.7+16.2 pts
28McCook County18-17.7 pts
29Hamlin County16.8-0.1 pts
30Pennington County15.3+2.9 pts
31Davison County15+15 pts
32Fall River County14.40 pts
33Clay County14.10 pts
34Grant County13.3-26.4 pts
35Union County13.1+13.1 pts
36Turner County12-36 pts
37Charles Mix County10.6-0.1 pts
38Butte County9.9-9.8 pts
39Lincoln County7.4-2.1 pts
40Codington County7.2-10.7 pts
41Brookings County6-6.2 pts
42Hughes County5.6+5.6 pts
43Minnehaha County5.4-2.3 pts
44Brown County2.6-7.9 pts
45Bon Homme County0-28.5 pts
45Brule County00 pts
45Buffalo County00 pts
45Clark County0-27.2 pts
45Corson County0-73.1 pts
45Deuel County0-46.5 pts
45Dewey County00 pts
45Douglas County00 pts
45Haakon County0-54.2 pts
45Hyde County00 pts
45Jerauld County00 pts
45Kingsbury County0-38.9 pts
45Lake County0-17.4 pts
45Lyman County0-26.2 pts
45McPherson County00 pts
45Perkins County0-33.1 pts
45Potter County00 pts
45Spink County00 pts
45Stanley County00 pts
45Todd County0-20.9 pts
45Tripp County0-17.8 pts
45Ziebach County0-72.9 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 South Dakota 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 South Dakota 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 South Dakota 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 South Dakota 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_south_dakota_2015,
  author = {{Invokely}},
  title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in South Dakota 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/south-dakota-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 South Dakota 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/south-dakota-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/south-dakota-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 South Dakota by traffic fatality rate using official data, and cite the source.
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Questions

Which county has the highest traffic fatality rate?

Hanson County, with 207.5 per 100,000 people in 2015, according to NHTSA and BEA.

Which county has the lowest traffic fatality rate?

Ziebach 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 South Dakota: more rankings