Counties in South Dakota by traffic fatality rate

Jones County had the highest traffic fatality rate of 66 counties in 2023, at 232 per 100,000 people. Ziebach County had the lowest, at 0 per 100,000 people. The median was 13 per 100,000 people and the figure for South Dakota was 15.3 per 100,000 people. Source: NHTSA and BEA.

Keep it in a collection in your library.
Highest232Jones County
Median1366 counties
South Dakota15.3History

Map of counties, 2023

Aurora County: 71.5 per 100,000 peopleBeadle County: 5.2 per 100,000 peopleBennett County: 0 per 100,000 peopleBon Homme County: 14.1 per 100,000 peopleBrookings County: 11.1 per 100,000 peopleBrown County: 8 per 100,000 peopleBrule County: 18.8 per 100,000 peopleBuffalo County: 106.2 per 100,000 peopleButte County: 9.2 per 100,000 peopleCampbell County: 0 per 100,000 peopleCharles Mix County: 32.4 per 100,000 peopleClark County: 0 per 100,000 peopleClay County: 0 per 100,000 peopleCodington County: 13.8 per 100,000 peopleCorson County: 53.2 per 100,000 peopleCuster County: 43.9 per 100,000 peopleDavison County: 15 per 100,000 peopleDay County: 0 per 100,000 peopleDeuel County: 0 per 100,000 peopleDewey County: 19.3 per 100,000 peopleDouglas County: 0 per 100,000 peopleEdmunds County: 0 per 100,000 peopleFall River County: 13.6 per 100,000 peopleFaulk County: 0 per 100,000 peopleGrant County: 13.2 per 100,000 peopleGregory County: 24.9 per 100,000 peopleHaakon County: 53.9 per 100,000 peopleHamlin County: 0 per 100,000 peopleHand County: 0 per 100,000 peopleHanson County: 57.9 per 100,000 peopleHarding County: 0 per 100,000 peopleHughes County: 5.7 per 100,000 peopleHutchinson County: 26.9 per 100,000 peopleHyde County: 0 per 100,000 peopleJackson County: 144.3 per 100,000 peopleJerauld County: 0 per 100,000 peopleJones County: 232 per 100,000 peopleKingsbury County: 19 per 100,000 peopleLake County: 27.2 per 100,000 peopleLawrence County: 42.7 per 100,000 peopleLincoln County: 15 per 100,000 peopleLyman County: 107.5 per 100,000 peopleMcCook County: 0 per 100,000 peopleMcPherson County: 0 per 100,000 peopleMarshall County: 45.9 per 100,000 peopleMeade County: 16.2 per 100,000 peopleMellette County: 54.3 per 100,000 peopleMiner County: 87.2 per 100,000 peopleMinnehaha County: 8.7 per 100,000 peopleMoody County: 0 per 100,000 peopleOglala Lakota County: 67.1 per 100,000 peoplePennington County: 8.6 per 100,000 peoplePerkins County: 0 per 100,000 peoplePotter County: 0 per 100,000 peopleRoberts County: 29.3 per 100,000 peopleSanborn County: 41.5 per 100,000 peopleSpink County: 32.5 per 100,000 peopleStanley County: 0 per 100,000 peopleSully County: 0 per 100,000 peopleTodd County: 10.9 per 100,000 peopleTripp County: 17.8 per 100,000 peopleTurner County: 0 per 100,000 peopleUnion County: 11.6 per 100,000 peopleWalworth County: 38 per 100,000 peopleYankton County: 12.8 per 100,000 peopleZiebach County: 0 per 100,000 people
  • Under 13
  • 13 to 21
  • 21 to 47
  • 47 and over
per 100,000 people, 2023. Source: Invokely calculation with data from NHTSA, BEA. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2023

Jones County: 232 per 100,000 peopleJones County232Jackson County: 144.3 per 100,000 peopleJackson County144.3Lyman County: 107.5 per 100,000 peopleLyman County107.5Buffalo County: 106.2 per 100,000 peopleBuffalo County106.2Miner County: 87.2 per 100,000 peopleMiner County87.2Aurora County: 71.5 per 100,000 peopleAurora County71.5Oglala Lakota County: 67.1 per 100,000 peopleOglala Lakota County67.1Hanson County: 57.9 per 100,000 peopleHanson County57.9Mellette County: 54.3 per 100,000 peopleMellette County54.3Haakon County: 53.9 per 100,000 peopleHaakon County53.9Corson County: 53.2 per 100,000 peopleCorson County53.2Marshall County: 45.9 per 100,000 peopleMarshall County45.9Custer County: 43.9 per 100,000 peopleCuster County43.9Lawrence County: 42.7 per 100,000 peopleLawrence County42.7Sanborn County: 41.5 per 100,000 peopleSanborn County41.5Walworth County: 38 per 100,000 peopleWalworth County38Spink County: 32.5 per 100,000 peopleSpink County32.5Charles Mix County: 32.4 per 100,000 peopleCharles Mix County32.4Roberts County: 29.3 per 100,000 peopleRoberts County29.3Lake County: 27.2 per 100,000 peopleLake County27.2Hutchinson County: 26.9 per 100,000 peopleHutchinson County26.9Gregory County: 24.9 per 100,000 peopleGregory County24.9Dewey County: 19.3 per 100,000 peopleDewey County19.3Kingsbury County: 19 per 100,000 peopleKingsbury County19Brule County: 18.8 per 100,000 peopleBrule County18.8Tripp County: 17.8 per 100,000 peopleTripp County17.8Meade County: 16.2 per 100,000 peopleMeade County16.2Lincoln County: 15 per 100,000 peopleLincoln County15Davison County: 15 per 100,000 peopleDavison County15Bon Homme County: 14.1 per 100,000 peopleBon Homme County14.1Codington County: 13.8 per 100,000 peopleCodington County13.8Fall River County: 13.6 per 100,000 peopleFall River County13.6Grant County: 13.2 per 100,000 peopleGrant County13.2Yankton County: 12.8 per 100,000 peopleYankton County12.8Union County: 11.6 per 100,000 peopleUnion County11.6Brookings County: 11.1 per 100,000 peopleBrookings County11.1Todd County: 10.9 per 100,000 peopleTodd County10.9Butte County: 9.2 per 100,000 peopleButte County9.2Minnehaha County: 8.7 per 100,000 peopleMinnehaha County8.7Pennington County: 8.6 per 100,000 peoplePennington County8.6Jones County: 232 per 100,000 peopleJones County232Jackson County: 144.3 per 100,000 peopleJackson County144.3Lyman County: 107.5 per 100,000 peopleLyman County107.5Buffalo County: 106.2 per 100,000 peopleBuffalo County106.2Miner County: 87.2 per 100,000 peopleMiner County87.2Aurora County: 71.5 per 100,000 peopleAurora County71.5Oglala Lakota County: 67.1 per 100,000 peopleOglala Lakota County67.1Hanson County: 57.9 per 100,000 peopleHanson County57.9Mellette County: 54.3 per 100,000 peopleMellette County54.3Haakon County: 53.9 per 100,000 peopleHaakon County53.9Corson County: 53.2 per 100,000 peopleCorson County53.2Marshall County: 45.9 per 100,000 peopleMarshall County45.9Custer County: 43.9 per 100,000 peopleCuster County43.9Lawrence County: 42.7 per 100,000 peopleLawrence County42.7Sanborn County: 41.5 per 100,000 peopleSanborn County41.5Walworth County: 38 per 100,000 peopleWalworth County38Spink County: 32.5 per 100,000 peopleSpink County32.5Charles Mix County: 32.4 per 100,000 peopleCharles Mix County32.4Roberts County: 29.3 per 100,000 peopleRoberts County29.3Lake County: 27.2 per 100,000 peopleLake County27.2Hutchinson County: 26.9 per 100,000 peopleHutchinson County26.9Gregory County: 24.9 per 100,000 peopleGregory County24.9Dewey County: 19.3 per 100,000 peopleDewey County19.3Kingsbury County: 19 per 100,000 peopleKingsbury County19Brule County: 18.8 per 100,000 peopleBrule County18.8Tripp County: 17.8 per 100,000 peopleTripp County17.8Meade County: 16.2 per 100,000 peopleMeade County16.2Lincoln County: 15 per 100,000 peopleLincoln County15Davison County: 15 per 100,000 peopleDavison County15Bon Homme County: 14.1 per 100,000 peopleBon Homme County14.1Codington County: 13.8 per 100,000 peopleCodington County13.8Fall River County: 13.6 per 100,000 peopleFall River County13.6Grant County: 13.2 per 100,000 peopleGrant County13.2Yankton County: 12.8 per 100,000 peopleYankton County12.8Union County: 11.6 per 100,000 peopleUnion County11.6Brookings County: 11.1 per 100,000 peopleBrookings County11.1Todd County: 10.9 per 100,000 peopleTodd County10.9Butte County: 9.2 per 100,000 peopleButte County9.2Minnehaha County: 8.7 per 100,000 peopleMinnehaha County8.7Pennington County: 8.6 per 100,000 peoplePennington County8.6
per 100,000 people. Source: Invokely calculation with data from NHTSA, BEA. Retrieved 2026-10-12.

Full ranking

RankCounties2023
per 100,000 people
Change on 2022
1Jones County232+2.1 pts
2Jackson County144.3+109 pts
3Lyman County107.5+107.5 pts
4Buffalo County106.2+106.2 pts
5Miner County87.2+87.2 pts
6Aurora County71.5-0.6 pts
7Oglala Lakota County67.1-7 pts
8Hanson County57.9+0.1 pts
9Mellette County54.3+54.3 pts
10Haakon County53.9-0.7 pts
11Corson County53.2+0.6 pts
12Marshall County45.9+45.9 pts
13Custer County43.9+32.8 pts
14Lawrence County42.7+28 pts
15Sanborn County41.5+41.5 pts
16Walworth County38+38 pts
17Spink County32.5+32.5 pts
18Charles Mix County32.4-10.9 pts
19Roberts County29.3-10 pts
20Lake County27.2+27.2 pts
21Hutchinson County26.9-68 pts
22Gregory County24.9-25.2 pts
23Dewey County19.3-20.1 pts
24Kingsbury County19-18.9 pts
25Brule County18.8+18.8 pts
26Tripp County17.8-72.3 pts
27Meade County16.2+3.1 pts
28Lincoln County15+1 pts
29Davison County15+10 pts
30Bon Homme County14.1+14.1 pts
31Codington County13.8+3.4 pts
32Fall River County13.6-40.7 pts
33Grant County13.2-0.1 pts
34Yankton County12.8+4.2 pts
35Union County11.6-0.1 pts
36Brookings County11.1+8.3 pts
37Todd County10.9+10.9 pts
38Butte County9.2+9.2 pts
39Minnehaha County8.7-1.1 pts
40Pennington County8.6-7.1 pts
41Brown County8+0.1 pts
42Hughes County5.7+5.7 pts
43Beadle County5.2-0 pts
44Bennett County0-59.9 pts
44Campbell County00 pts
44Clark County0-25.3 pts
44Clay County00 pts
44Day County00 pts
44Deuel County0-23 pts
44Douglas County00 pts
44Edmunds County0-24.4 pts
44Faulk County00 pts
44Hamlin County0-31.3 pts
44Hand County00 pts
44Harding County00 pts
44Hyde County00 pts
44Jerauld County0-60.8 pts
44McCook County0-17.3 pts
44McPherson County00 pts
44Moody County0-47.1 pts
44Perkins County00 pts
44Potter County00 pts
44Stanley County0-33.2 pts
44Sully County00 pts
44Turner County0-22.5 pts
44Ziebach County0-42.2 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, 2023) [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, 2023. 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, 2023. 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, 2023 [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_2023,
  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, 2023}},
  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=2023. 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, 2023
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=2023
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=2023.
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?

Jones County, with 232 per 100,000 people in 2023, according to NHTSA and BEA.

Which county has the lowest traffic fatality rate?

Ziebach County, with 0 per 100,000 people in 2023.

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