Counties in South Dakota by traffic fatality rate

Jones County had the highest traffic fatality rate of 66 counties in 2017, at 220.8 per 100,000 people. Ziebach County had the lowest, at 0 per 100,000 people. The median was 10.4 per 100,000 people and the figure for South Dakota was 14.8 per 100,000 people. Source: NHTSA and BEA.

Keep it in a collection in your library.
Highest220.8Jones County
Median10.466 counties
South Dakota14.8History

Map of counties, 2017

Aurora County: 0 per 100,000 peopleBeadle County: 10.6 per 100,000 peopleBennett County: 0 per 100,000 peopleBon Homme County: 0 per 100,000 peopleBrookings County: 8.8 per 100,000 peopleBrown County: 2.6 per 100,000 peopleBrule County: 0 per 100,000 peopleBuffalo County: 0 per 100,000 peopleButte County: 30.3 per 100,000 peopleCampbell County: 0 per 100,000 peopleCharles Mix County: 31.7 per 100,000 peopleClark County: 0 per 100,000 peopleClay County: 0 per 100,000 peopleCodington County: 7.1 per 100,000 peopleCorson County: 49.1 per 100,000 peopleCuster County: 12.1 per 100,000 peopleDavison County: 5 per 100,000 peopleDay County: 18.1 per 100,000 peopleDeuel County: 0 per 100,000 peopleDewey County: 18.4 per 100,000 peopleDouglas County: 0 per 100,000 peopleEdmunds County: 49.7 per 100,000 peopleFall River County: 29.1 per 100,000 peopleFaulk County: 0 per 100,000 peopleGrant County: 39.6 per 100,000 peopleGregory County: 0 per 100,000 peopleHaakon County: 0 per 100,000 peopleHamlin County: 0 per 100,000 peopleHand County: 0 per 100,000 peopleHanson County: 29.5 per 100,000 peopleHarding County: 161.7 per 100,000 peopleHughes County: 16.7 per 100,000 peopleHutchinson County: 0 per 100,000 peopleHyde County: 0 per 100,000 peopleJackson County: 207.2 per 100,000 peopleJerauld County: 112 per 100,000 peopleJones County: 220.8 per 100,000 peopleKingsbury County: 39.5 per 100,000 peopleLake County: 17 per 100,000 peopleLawrence County: 31.4 per 100,000 peopleLincoln County: 10.2 per 100,000 peopleLyman County: 0 per 100,000 peopleMcCook County: 35.4 per 100,000 peopleMcPherson County: 0 per 100,000 peopleMarshall County: 22.3 per 100,000 peopleMeade County: 10.4 per 100,000 peopleMellette County: 0 per 100,000 peopleMiner County: 0 per 100,000 peopleMinnehaha County: 6.3 per 100,000 peopleMoody County: 15.8 per 100,000 peopleOglala Lakota County: 78 per 100,000 peoplePennington County: 16 per 100,000 peoplePerkins County: 33.7 per 100,000 peoplePotter County: 40.9 per 100,000 peopleRoberts County: 48.9 per 100,000 peopleSanborn County: 40.9 per 100,000 peopleSpink County: 30.6 per 100,000 peopleStanley County: 0 per 100,000 peopleSully County: 69.4 per 100,000 peopleTodd County: 10.4 per 100,000 peopleTripp County: 0 per 100,000 peopleTurner County: 23.5 per 100,000 peopleUnion County: 6.3 per 100,000 peopleWalworth County: 0 per 100,000 peopleYankton County: 26 per 100,000 peopleZiebach County: 0 per 100,000 people
  • Under 10
  • 10 to 24
  • 24 to 40
  • 40 and over
per 100,000 people, 2017. Source: Invokely calculation with data from NHTSA, BEA. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2017

Jones County: 220.8 per 100,000 peopleJones County220.8Jackson County: 207.2 per 100,000 peopleJackson County207.2Harding County: 161.7 per 100,000 peopleHarding County161.7Jerauld County: 112 per 100,000 peopleJerauld County112Oglala Lakota County: 78 per 100,000 peopleOglala Lakota County78Sully County: 69.4 per 100,000 peopleSully County69.4Edmunds County: 49.7 per 100,000 peopleEdmunds County49.7Corson County: 49.1 per 100,000 peopleCorson County49.1Roberts County: 48.9 per 100,000 peopleRoberts County48.9Potter County: 40.9 per 100,000 peoplePotter County40.9Sanborn County: 40.9 per 100,000 peopleSanborn County40.9Grant County: 39.6 per 100,000 peopleGrant County39.6Kingsbury County: 39.5 per 100,000 peopleKingsbury County39.5McCook County: 35.4 per 100,000 peopleMcCook County35.4Perkins County: 33.7 per 100,000 peoplePerkins County33.7Charles Mix County: 31.7 per 100,000 peopleCharles Mix County31.7Lawrence County: 31.4 per 100,000 peopleLawrence County31.4Spink County: 30.6 per 100,000 peopleSpink County30.6Butte County: 30.3 per 100,000 peopleButte County30.3Hanson County: 29.5 per 100,000 peopleHanson County29.5Fall River County: 29.1 per 100,000 peopleFall River County29.1Yankton County: 26 per 100,000 peopleYankton County26Turner County: 23.5 per 100,000 peopleTurner County23.5Marshall County: 22.3 per 100,000 peopleMarshall County22.3Dewey County: 18.4 per 100,000 peopleDewey County18.4Day County: 18.1 per 100,000 peopleDay County18.1Lake County: 17 per 100,000 peopleLake County17Hughes County: 16.7 per 100,000 peopleHughes County16.7Pennington County: 16 per 100,000 peoplePennington County16Moody County: 15.8 per 100,000 peopleMoody County15.8Custer County: 12.1 per 100,000 peopleCuster County12.1Beadle County: 10.6 per 100,000 peopleBeadle County10.6Todd County: 10.4 per 100,000 peopleTodd County10.4Meade County: 10.4 per 100,000 peopleMeade County10.4Lincoln County: 10.2 per 100,000 peopleLincoln County10.2Brookings County: 8.8 per 100,000 peopleBrookings County8.8Codington County: 7.1 per 100,000 peopleCodington County7.1Union County: 6.3 per 100,000 peopleUnion County6.3Minnehaha County: 6.3 per 100,000 peopleMinnehaha County6.3Davison County: 5 per 100,000 peopleDavison County5Jones County: 220.8 per 100,000 peopleJones County220.8Jackson County: 207.2 per 100,000 peopleJackson County207.2Harding County: 161.7 per 100,000 peopleHarding County161.7Jerauld County: 112 per 100,000 peopleJerauld County112Oglala Lakota County: 78 per 100,000 peopleOglala Lakota County78Sully County: 69.4 per 100,000 peopleSully County69.4Edmunds County: 49.7 per 100,000 peopleEdmunds County49.7Corson County: 49.1 per 100,000 peopleCorson County49.1Roberts County: 48.9 per 100,000 peopleRoberts County48.9Potter County: 40.9 per 100,000 peoplePotter County40.9Sanborn County: 40.9 per 100,000 peopleSanborn County40.9Grant County: 39.6 per 100,000 peopleGrant County39.6Kingsbury County: 39.5 per 100,000 peopleKingsbury County39.5McCook County: 35.4 per 100,000 peopleMcCook County35.4Perkins County: 33.7 per 100,000 peoplePerkins County33.7Charles Mix County: 31.7 per 100,000 peopleCharles Mix County31.7Lawrence County: 31.4 per 100,000 peopleLawrence County31.4Spink County: 30.6 per 100,000 peopleSpink County30.6Butte County: 30.3 per 100,000 peopleButte County30.3Hanson County: 29.5 per 100,000 peopleHanson County29.5Fall River County: 29.1 per 100,000 peopleFall River County29.1Yankton County: 26 per 100,000 peopleYankton County26Turner County: 23.5 per 100,000 peopleTurner County23.5Marshall County: 22.3 per 100,000 peopleMarshall County22.3Dewey County: 18.4 per 100,000 peopleDewey County18.4Day County: 18.1 per 100,000 peopleDay County18.1Lake County: 17 per 100,000 peopleLake County17Hughes County: 16.7 per 100,000 peopleHughes County16.7Pennington County: 16 per 100,000 peoplePennington County16Moody County: 15.8 per 100,000 peopleMoody County15.8Custer County: 12.1 per 100,000 peopleCuster County12.1Beadle County: 10.6 per 100,000 peopleBeadle County10.6Todd County: 10.4 per 100,000 peopleTodd County10.4Meade County: 10.4 per 100,000 peopleMeade County10.4Lincoln County: 10.2 per 100,000 peopleLincoln County10.2Brookings County: 8.8 per 100,000 peopleBrookings County8.8Codington County: 7.1 per 100,000 peopleCodington County7.1Union County: 6.3 per 100,000 peopleUnion County6.3Minnehaha County: 6.3 per 100,000 peopleMinnehaha County6.3Davison County: 5 per 100,000 peopleDavison County5
per 100,000 people. Source: Invokely calculation with data from NHTSA, BEA. Retrieved 2026-10-12.

Full ranking

RankCounties2017
per 100,000 people
Change on 2016
1Jones County220.8+111.9 pts
2Jackson County207.2+105.2 pts
3Harding County161.7+161.7 pts
4Jerauld County112+112 pts
5Oglala Lakota County78-20.8 pts
6Sully County69.4+69.4 pts
7Edmunds County49.7+0.1 pts
8Corson County49.1+24.1 pts
9Roberts County48.9-0.3 pts
10Potter County40.9+0.2 pts
11Sanborn County40.9+40.9 pts
12Grant County39.6+26.4 pts
13Kingsbury County39.5+19.8 pts
14McCook County35.4+35.4 pts
15Perkins County33.7+33.7 pts
16Charles Mix County31.7+21.1 pts
17Lawrence County31.4-8.3 pts
18Spink County30.6+15.2 pts
19Butte County30.3+10.1 pts
20Hanson County29.5-0.2 pts
21Fall River County29.1+29.1 pts
22Yankton County26+12.9 pts
23Turner County23.5-0.2 pts
24Marshall County22.3-0 pts
25Dewey County18.4+18.4 pts
26Day County18.1+18.1 pts
27Lake County17+8.5 pts
28Hughes County16.7+11.1 pts
29Pennington County16+6.5 pts
30Moody County15.8+15.8 pts
31Custer County12.1-12.3 pts
32Beadle County10.6+10.6 pts
33Todd County10.40 pts
34Meade County10.4-3.8 pts
35Lincoln County10.2+4.9 pts
36Brookings County8.8-3.1 pts
37Codington County7.1-0 pts
38Union County6.3-6.5 pts
39Minnehaha County6.3+1.5 pts
40Davison County5-4.9 pts
41Brown County2.6-0 pts
42Aurora County0-72 pts
42Bennett County00 pts
42Bon Homme County0-42.8 pts
42Brule County00 pts
42Buffalo County0-49.5 pts
42Campbell County0-144.8 pts
42Clark County0-27.3 pts
42Clay County0-6.9 pts
42Deuel County00 pts
42Douglas County0-34.9 pts
42Faulk County0-45.4 pts
42Gregory County00 pts
42Haakon County00 pts
42Hamlin County0-17 pts
42Hand County0-30.4 pts
42Hutchinson County00 pts
42Hyde County0-228.3 pts
42Lyman County0-77.8 pts
42McPherson County00 pts
42Mellette County00 pts
42Miner County00 pts
42Stanley County00 pts
42Tripp County0-17.7 pts
42Walworth County0-54.9 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, 2017) [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, 2017. 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, 2017. 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, 2017 [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_2017,
  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, 2017}},
  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=2017. 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, 2017
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=2017
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=2017.
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 220.8 per 100,000 people in 2017, according to NHTSA and BEA.

Which county has the lowest traffic fatality rate?

Ziebach County, with 0 per 100,000 people in 2017.

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