Counties in South Dakota by traffic fatality rate

Sanborn County had the highest traffic fatality rate of 66 counties in 2019, at 212 per 100,000 people. Ziebach County had the lowest, at 0 per 100,000 people. The median was 9.4 per 100,000 people and the figure for South Dakota was 11.6 per 100,000 people. Source: NHTSA and BEA.

Keep it in a collection in your library.
Highest212Sanborn County
Median9.466 counties
South Dakota11.6History

Map of counties, 2019

Aurora County: 36.3 per 100,000 peopleBeadle County: 26.4 per 100,000 peopleBennett County: 0 per 100,000 peopleBon Homme County: 56.9 per 100,000 peopleBrookings County: 5.8 per 100,000 peopleBrown County: 7.8 per 100,000 peopleBrule County: 0 per 100,000 peopleBuffalo County: 51 per 100,000 peopleButte County: 9.9 per 100,000 peopleCampbell County: 72.9 per 100,000 peopleCharles Mix County: 10.7 per 100,000 peopleClark County: 26.4 per 100,000 peopleClay County: 13.5 per 100,000 peopleCodington County: 10.6 per 100,000 peopleCorson County: 25.4 per 100,000 peopleCuster County: 0 per 100,000 peopleDavison County: 10 per 100,000 peopleDay County: 0 per 100,000 peopleDeuel County: 0 per 100,000 peopleDewey County: 18.8 per 100,000 peopleDouglas County: 0 per 100,000 peopleEdmunds County: 0 per 100,000 peopleFall River County: 57.8 per 100,000 peopleFaulk County: 46.8 per 100,000 peopleGrant County: 0 per 100,000 peopleGregory County: 0 per 100,000 peopleHaakon County: 53.5 per 100,000 peopleHamlin County: 16.2 per 100,000 peopleHand County: 0 per 100,000 peopleHanson County: 58.1 per 100,000 peopleHarding County: 76.9 per 100,000 peopleHughes County: 0 per 100,000 peopleHutchinson County: 13.5 per 100,000 peopleHyde County: 0 per 100,000 peopleJackson County: 105.3 per 100,000 peopleJerauld County: 0 per 100,000 peopleJones County: 0 per 100,000 peopleKingsbury County: 39.3 per 100,000 peopleLake County: 8.8 per 100,000 peopleLawrence County: 15.7 per 100,000 peopleLincoln County: 3.1 per 100,000 peopleLyman County: 107.7 per 100,000 peopleMcCook County: 17.6 per 100,000 peopleMcPherson County: 0 per 100,000 peopleMarshall County: 45.6 per 100,000 peopleMeade County: 6.7 per 100,000 peopleMellette County: 0 per 100,000 peopleMiner County: 86.5 per 100,000 peopleMinnehaha County: 8.7 per 100,000 peopleMoody County: 15.7 per 100,000 peopleOglala Lakota County: 0 per 100,000 peoplePennington County: 9.2 per 100,000 peoplePerkins County: 0 per 100,000 peoplePotter County: 0 per 100,000 peopleRoberts County: 9.7 per 100,000 peopleSanborn County: 212 per 100,000 peopleSpink County: 0 per 100,000 peopleStanley County: 33.2 per 100,000 peopleSully County: 0 per 100,000 peopleTodd County: 0 per 100,000 peopleTripp County: 17.6 per 100,000 peopleTurner County: 0 per 100,000 peopleUnion County: 0 per 100,000 peopleWalworth County: 18.5 per 100,000 peopleYankton County: 8.6 per 100,000 peopleZiebach County: 0 per 100,000 people
  • Under 9
  • 9 to 18
  • 18 to 48
  • 48 and over
per 100,000 people, 2019. Source: Invokely calculation with data from NHTSA, BEA. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2019

Sanborn County: 212 per 100,000 peopleSanborn County212Lyman County: 107.7 per 100,000 peopleLyman County107.7Jackson County: 105.3 per 100,000 peopleJackson County105.3Miner County: 86.5 per 100,000 peopleMiner County86.5Harding County: 76.9 per 100,000 peopleHarding County76.9Campbell County: 72.9 per 100,000 peopleCampbell County72.9Hanson County: 58.1 per 100,000 peopleHanson County58.1Fall River County: 57.8 per 100,000 peopleFall River County57.8Bon Homme County: 56.9 per 100,000 peopleBon Homme County56.9Haakon County: 53.5 per 100,000 peopleHaakon County53.5Buffalo County: 51 per 100,000 peopleBuffalo County51Faulk County: 46.8 per 100,000 peopleFaulk County46.8Marshall County: 45.6 per 100,000 peopleMarshall County45.6Kingsbury County: 39.3 per 100,000 peopleKingsbury County39.3Aurora County: 36.3 per 100,000 peopleAurora County36.3Stanley County: 33.2 per 100,000 peopleStanley County33.2Clark County: 26.4 per 100,000 peopleClark County26.4Beadle County: 26.4 per 100,000 peopleBeadle County26.4Corson County: 25.4 per 100,000 peopleCorson County25.4Dewey County: 18.8 per 100,000 peopleDewey County18.8Walworth County: 18.5 per 100,000 peopleWalworth County18.5Tripp County: 17.6 per 100,000 peopleTripp County17.6McCook County: 17.6 per 100,000 peopleMcCook County17.6Hamlin County: 16.2 per 100,000 peopleHamlin County16.2Moody County: 15.7 per 100,000 peopleMoody County15.7Lawrence County: 15.7 per 100,000 peopleLawrence County15.7Clay County: 13.5 per 100,000 peopleClay County13.5Hutchinson County: 13.5 per 100,000 peopleHutchinson County13.5Charles Mix County: 10.7 per 100,000 peopleCharles Mix County10.7Codington County: 10.6 per 100,000 peopleCodington County10.6Davison County: 10 per 100,000 peopleDavison County10Butte County: 9.9 per 100,000 peopleButte County9.9Roberts County: 9.7 per 100,000 peopleRoberts County9.7Pennington County: 9.2 per 100,000 peoplePennington County9.2Lake County: 8.8 per 100,000 peopleLake County8.8Minnehaha County: 8.7 per 100,000 peopleMinnehaha County8.7Yankton County: 8.6 per 100,000 peopleYankton County8.6Brown County: 7.8 per 100,000 peopleBrown County7.8Meade County: 6.7 per 100,000 peopleMeade County6.7Brookings County: 5.8 per 100,000 peopleBrookings County5.8Sanborn County: 212 per 100,000 peopleSanborn County212Lyman County: 107.7 per 100,000 peopleLyman County107.7Jackson County: 105.3 per 100,000 peopleJackson County105.3Miner County: 86.5 per 100,000 peopleMiner County86.5Harding County: 76.9 per 100,000 peopleHarding County76.9Campbell County: 72.9 per 100,000 peopleCampbell County72.9Hanson County: 58.1 per 100,000 peopleHanson County58.1Fall River County: 57.8 per 100,000 peopleFall River County57.8Bon Homme County: 56.9 per 100,000 peopleBon Homme County56.9Haakon County: 53.5 per 100,000 peopleHaakon County53.5Buffalo County: 51 per 100,000 peopleBuffalo County51Faulk County: 46.8 per 100,000 peopleFaulk County46.8Marshall County: 45.6 per 100,000 peopleMarshall County45.6Kingsbury County: 39.3 per 100,000 peopleKingsbury County39.3Aurora County: 36.3 per 100,000 peopleAurora County36.3Stanley County: 33.2 per 100,000 peopleStanley County33.2Clark County: 26.4 per 100,000 peopleClark County26.4Beadle County: 26.4 per 100,000 peopleBeadle County26.4Corson County: 25.4 per 100,000 peopleCorson County25.4Dewey County: 18.8 per 100,000 peopleDewey County18.8Walworth County: 18.5 per 100,000 peopleWalworth County18.5Tripp County: 17.6 per 100,000 peopleTripp County17.6McCook County: 17.6 per 100,000 peopleMcCook County17.6Hamlin County: 16.2 per 100,000 peopleHamlin County16.2Moody County: 15.7 per 100,000 peopleMoody County15.7Lawrence County: 15.7 per 100,000 peopleLawrence County15.7Clay County: 13.5 per 100,000 peopleClay County13.5Hutchinson County: 13.5 per 100,000 peopleHutchinson County13.5Charles Mix County: 10.7 per 100,000 peopleCharles Mix County10.7Codington County: 10.6 per 100,000 peopleCodington County10.6Davison County: 10 per 100,000 peopleDavison County10Butte County: 9.9 per 100,000 peopleButte County9.9Roberts County: 9.7 per 100,000 peopleRoberts County9.7Pennington County: 9.2 per 100,000 peoplePennington County9.2Lake County: 8.8 per 100,000 peopleLake County8.8Minnehaha County: 8.7 per 100,000 peopleMinnehaha County8.7Yankton County: 8.6 per 100,000 peopleYankton County8.6Brown County: 7.8 per 100,000 peopleBrown County7.8Meade County: 6.7 per 100,000 peopleMeade County6.7Brookings County: 5.8 per 100,000 peopleBrookings County5.8
per 100,000 people. Source: Invokely calculation with data from NHTSA, BEA. Retrieved 2026-10-12.

Full ranking

RankCounties2019
per 100,000 people
Change on 2018
1Sanborn County212+212 pts
2Lyman County107.7-26.3 pts
3Jackson County105.3+34.9 pts
4Miner County86.5+86.5 pts
5Harding County76.9-163.8 pts
6Campbell County72.9+72.9 pts
7Hanson County58.1-61.3 pts
8Fall River County57.8+28.9 pts
9Bon Homme County56.9+42.7 pts
10Haakon County53.5+53.5 pts
11Buffalo County51+1.5 pts
12Faulk County46.8+0.7 pts
13Marshall County45.6+45.6 pts
14Kingsbury County39.3+39.3 pts
15Aurora County36.3+0.3 pts
16Stanley County33.2-0.9 pts
17Clark County26.4+26.4 pts
18Beadle County26.4+21.1 pts
19Corson County25.4+0.5 pts
20Dewey County18.8+18.8 pts
21Walworth County18.5+18.5 pts
22Tripp County17.6+0.1 pts
23McCook County17.6-0 pts
24Hamlin County16.2-0.3 pts
25Moody County15.7+15.7 pts
26Lawrence County15.7+3.9 pts
27Clay County13.5-0.2 pts
28Hutchinson County13.5-27 pts
29Charles Mix County10.70 pts
30Codington County10.6+3.5 pts
31Davison County10+10 pts
32Butte County9.9+9.9 pts
33Roberts County9.7-19.4 pts
34Pennington County9.2-1.1 pts
35Lake County8.8+0.3 pts
36Minnehaha County8.7+1.9 pts
37Yankton County8.6-21.5 pts
38Brown County7.8-2.5 pts
39Meade County6.7-10.3 pts
40Brookings County5.8-2.9 pts
41Lincoln County3.1-5.1 pts
42Bennett County0-57.9 pts
42Brule County0-19.3 pts
42Custer County0-84.9 pts
42Day County00 pts
42Deuel County0-46.8 pts
42Douglas County0-35 pts
42Edmunds County00 pts
42Grant County0-52.9 pts
42Gregory County0-49.7 pts
42Hand County0-61.5 pts
42Hughes County0-5.6 pts
42Hyde County00 pts
42Jerauld County00 pts
42Jones County00 pts
42McPherson County0-81.9 pts
42Mellette County00 pts
42Oglala Lakota County0-78.6 pts
42Perkins County00 pts
42Potter County00 pts
42Spink County00 pts
42Sully County00 pts
42Todd County0-10.5 pts
42Turner County0-46.2 pts
42Union County0-6.2 pts
42Ziebach 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 South Dakota by traffic fatality rate, 2019) [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, 2019. 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, 2019. 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, 2019 [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_2019,
  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, 2019}},
  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=2019. 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, 2019
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=2019
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=2019.
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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Questions

Which county has the highest traffic fatality rate?

Sanborn County, with 212 per 100,000 people in 2019, according to NHTSA and BEA.

Which county has the lowest traffic fatality rate?

Ziebach County, with 0 per 100,000 people in 2019.

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