Counties in South Dakota by traffic fatality rate

Aurora County had the highest traffic fatality rate of 66 counties in 2013, at 147.1 per 100,000 people. Turner County had the lowest, at 0 per 100,000 people. The median was 17.9 per 100,000 people and the figure for South Dakota was 16.1 per 100,000 people. Source: NHTSA and BEA.

Keep it in a collection in your library.
Highest147.1Aurora County
Median17.966 counties
South Dakota16.1History

Map of counties, 2013

Aurora County: 147.1 per 100,000 peopleBeadle County: 10.9 per 100,000 peopleBennett County: 28.9 per 100,000 peopleBon Homme County: 28.5 per 100,000 peopleBrookings County: 21.4 per 100,000 peopleBrown County: 5.3 per 100,000 peopleBrule County: 0 per 100,000 peopleBuffalo County: 0 per 100,000 peopleButte County: 9.8 per 100,000 peopleCampbell County: 73.2 per 100,000 peopleCharles Mix County: 54.3 per 100,000 peopleClark County: 82.4 per 100,000 peopleClay County: 7.1 per 100,000 peopleCodington County: 7.2 per 100,000 peopleCorson County: 72.2 per 100,000 peopleCuster County: 12.2 per 100,000 peopleDavison County: 10 per 100,000 peopleDay County: 71.4 per 100,000 peopleDeuel County: 23.3 per 100,000 peopleDewey County: 55.6 per 100,000 peopleDouglas County: 0 per 100,000 peopleEdmunds County: 0 per 100,000 peopleFall River County: 29 per 100,000 peopleFaulk County: 0 per 100,000 peopleGrant County: 26.4 per 100,000 peopleGregory County: 48 per 100,000 peopleHaakon County: 53.2 per 100,000 peopleHamlin County: 16.9 per 100,000 peopleHand County: 59.1 per 100,000 peopleHanson County: 29.5 per 100,000 peopleHarding County: 79.6 per 100,000 peopleHughes County: 5.7 per 100,000 peopleHutchinson County: 13.8 per 100,000 peopleHyde County: 0 per 100,000 peopleJackson County: 0 per 100,000 peopleJerauld County: 0 per 100,000 peopleJones County: 103.4 per 100,000 peopleKingsbury County: 19.5 per 100,000 peopleLake County: 17.5 per 100,000 peopleLawrence County: 28.2 per 100,000 peopleLincoln County: 9.9 per 100,000 peopleLyman County: 78.6 per 100,000 peopleMcCook County: 35.5 per 100,000 peopleMcPherson County: 41 per 100,000 peopleMarshall County: 0 per 100,000 peopleMeade County: 26.1 per 100,000 peopleMellette County: 100.3 per 100,000 peopleMiner County: 42.7 per 100,000 peopleMinnehaha County: 6.2 per 100,000 peopleMoody County: 15.7 per 100,000 peopleOglala Lakota County: 42.9 per 100,000 peoplePennington County: 8.7 per 100,000 peoplePerkins County: 33.1 per 100,000 peoplePotter County: 0 per 100,000 peopleRoberts County: 39.1 per 100,000 peopleSanborn County: 42.9 per 100,000 peopleSpink County: 15 per 100,000 peopleStanley County: 0 per 100,000 peopleSully County: 0 per 100,000 peopleTodd County: 10.3 per 100,000 peopleTripp County: 0 per 100,000 peopleTurner County: 0 per 100,000 peopleUnion County: 13.3 per 100,000 peopleWalworth County: 18.2 per 100,000 peopleYankton County: 13.1 per 100,000 peopleZiebach County: 108.5 per 100,000 people
  • Under 10
  • 10 to 18
  • 18 to 31
  • 31 to 56
  • 56 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

Aurora County: 147.1 per 100,000 peopleAurora County147.1Ziebach County: 108.5 per 100,000 peopleZiebach County108.5Jones County: 103.4 per 100,000 peopleJones County103.4Mellette County: 100.3 per 100,000 peopleMellette County100.3Clark County: 82.4 per 100,000 peopleClark County82.4Harding County: 79.6 per 100,000 peopleHarding County79.6Lyman County: 78.6 per 100,000 peopleLyman County78.6Campbell County: 73.2 per 100,000 peopleCampbell County73.2Corson County: 72.2 per 100,000 peopleCorson County72.2Day County: 71.4 per 100,000 peopleDay County71.4Hand County: 59.1 per 100,000 peopleHand County59.1Dewey County: 55.6 per 100,000 peopleDewey County55.6Charles Mix County: 54.3 per 100,000 peopleCharles Mix County54.3Haakon County: 53.2 per 100,000 peopleHaakon County53.2Gregory County: 48 per 100,000 peopleGregory County48Sanborn County: 42.9 per 100,000 peopleSanborn County42.9Oglala Lakota County: 42.9 per 100,000 peopleOglala Lakota County42.9Miner County: 42.7 per 100,000 peopleMiner County42.7McPherson County: 41 per 100,000 peopleMcPherson County41Roberts County: 39.1 per 100,000 peopleRoberts County39.1McCook County: 35.5 per 100,000 peopleMcCook County35.5Perkins County: 33.1 per 100,000 peoplePerkins County33.1Hanson County: 29.5 per 100,000 peopleHanson County29.5Fall River County: 29 per 100,000 peopleFall River County29Bennett County: 28.9 per 100,000 peopleBennett County28.9Bon Homme County: 28.5 per 100,000 peopleBon Homme County28.5Lawrence County: 28.2 per 100,000 peopleLawrence County28.2Grant County: 26.4 per 100,000 peopleGrant County26.4Meade County: 26.1 per 100,000 peopleMeade County26.1Deuel County: 23.3 per 100,000 peopleDeuel County23.3Brookings County: 21.4 per 100,000 peopleBrookings County21.4Kingsbury County: 19.5 per 100,000 peopleKingsbury County19.5Walworth County: 18.2 per 100,000 peopleWalworth County18.2Lake County: 17.5 per 100,000 peopleLake County17.5Hamlin County: 16.9 per 100,000 peopleHamlin County16.9Moody County: 15.7 per 100,000 peopleMoody County15.7Spink County: 15 per 100,000 peopleSpink County15Hutchinson County: 13.8 per 100,000 peopleHutchinson County13.8Union County: 13.3 per 100,000 peopleUnion County13.3Yankton County: 13.1 per 100,000 peopleYankton County13.1Aurora County: 147.1 per 100,000 peopleAurora County147.1Ziebach County: 108.5 per 100,000 peopleZiebach County108.5Jones County: 103.4 per 100,000 peopleJones County103.4Mellette County: 100.3 per 100,000 peopleMellette County100.3Clark County: 82.4 per 100,000 peopleClark County82.4Harding County: 79.6 per 100,000 peopleHarding County79.6Lyman County: 78.6 per 100,000 peopleLyman County78.6Campbell County: 73.2 per 100,000 peopleCampbell County73.2Corson County: 72.2 per 100,000 peopleCorson County72.2Day County: 71.4 per 100,000 peopleDay County71.4Hand County: 59.1 per 100,000 peopleHand County59.1Dewey County: 55.6 per 100,000 peopleDewey County55.6Charles Mix County: 54.3 per 100,000 peopleCharles Mix County54.3Haakon County: 53.2 per 100,000 peopleHaakon County53.2Gregory County: 48 per 100,000 peopleGregory County48Sanborn County: 42.9 per 100,000 peopleSanborn County42.9Oglala Lakota County: 42.9 per 100,000 peopleOglala Lakota County42.9Miner County: 42.7 per 100,000 peopleMiner County42.7McPherson County: 41 per 100,000 peopleMcPherson County41Roberts County: 39.1 per 100,000 peopleRoberts County39.1McCook County: 35.5 per 100,000 peopleMcCook County35.5Perkins County: 33.1 per 100,000 peoplePerkins County33.1Hanson County: 29.5 per 100,000 peopleHanson County29.5Fall River County: 29 per 100,000 peopleFall River County29Bennett County: 28.9 per 100,000 peopleBennett County28.9Bon Homme County: 28.5 per 100,000 peopleBon Homme County28.5Lawrence County: 28.2 per 100,000 peopleLawrence County28.2Grant County: 26.4 per 100,000 peopleGrant County26.4Meade County: 26.1 per 100,000 peopleMeade County26.1Deuel County: 23.3 per 100,000 peopleDeuel County23.3Brookings County: 21.4 per 100,000 peopleBrookings County21.4Kingsbury County: 19.5 per 100,000 peopleKingsbury County19.5Walworth County: 18.2 per 100,000 peopleWalworth County18.2Lake County: 17.5 per 100,000 peopleLake County17.5Hamlin County: 16.9 per 100,000 peopleHamlin County16.9Moody County: 15.7 per 100,000 peopleMoody County15.7Spink County: 15 per 100,000 peopleSpink County15Hutchinson County: 13.8 per 100,000 peopleHutchinson County13.8Union County: 13.3 per 100,000 peopleUnion County13.3Yankton County: 13.1 per 100,000 peopleYankton County13.1
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
1Aurora County147.1+110.9 pts
2Ziebach County108.5+108.5 pts
3Jones County103.4+103.4 pts
4Mellette County100.3+50.7 pts
5Clark County82.4+82.4 pts
6Harding County79.6+2.8 pts
7Lyman County78.6+52 pts
8Campbell County73.2-69.2 pts
9Corson County72.2-2.2 pts
10Day County71.4+35.8 pts
11Hand County59.1+29.6 pts
12Dewey County55.6+55.6 pts
13Charles Mix County54.3+54.3 pts
14Haakon County53.2+1.1 pts
15Gregory County48+0.4 pts
16Sanborn County42.9+42.9 pts
17Oglala Lakota County42.9-7.3 pts
18Miner County42.7-43.5 pts
19McPherson County41-0 pts
20Roberts County39.1+0.3 pts
21McCook County35.5-0.3 pts
22Perkins County33.1+0.1 pts
23Hanson County29.5-0.2 pts
24Fall River County29-13.7 pts
25Bennett County28.9-87.2 pts
26Bon Homme County28.5+0.1 pts
27Lawrence County28.2-0.6 pts
28Grant County26.4+26.4 pts
29Meade County26.1+18.4 pts
30Deuel County23.3+23.3 pts
31Brookings County21.4+15.3 pts
32Kingsbury County19.5+19.5 pts
33Walworth County18.2-0.1 pts
34Lake County17.5-8.8 pts
35Hamlin County16.9+0.1 pts
36Moody County15.7-61.9 pts
37Spink County15-44.3 pts
38Hutchinson County13.8+0.1 pts
39Union County13.3-20.1 pts
40Yankton County13.1+13.1 pts
41Custer County12.2-61.3 pts
42Beadle County10.9+10.9 pts
43Todd County10.3+10.3 pts
44Davison County10-0 pts
45Lincoln County9.9-2.4 pts
46Butte County9.8-29.6 pts
47Pennington County8.7-0.1 pts
48Codington County7.2+3.6 pts
49Clay County7.1+7.1 pts
50Minnehaha County6.2-3 pts
51Hughes County5.7-0 pts
52Brown County5.3-2.7 pts
53Brule County0-18.9 pts
53Buffalo County0-49.7 pts
53Douglas County00 pts
53Edmunds County0-49.4 pts
53Faulk County00 pts
53Hyde County00 pts
53Jackson County0-98.2 pts
53Jerauld County0-151.3 pts
53Marshall County00 pts
53Potter County00 pts
53Stanley County0-33.9 pts
53Sully County0-69.4 pts
53Tripp County00 pts
53Turner 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, 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 South Dakota 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 South Dakota 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 South Dakota 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_south_dakota_2013,
  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, 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/south-dakota-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 South Dakota 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/south-dakota-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/south-dakota-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  - 
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

Use this data in your AI agent

Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:

Rank Counties in South Dakota by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"South Dakota","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=South%20Dakota&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

Which county has the highest traffic fatality rate?

Aurora County, with 147.1 per 100,000 people in 2013, according to NHTSA and BEA.

Which county has the lowest traffic fatality rate?

Turner 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 South Dakota: more rankings