Counties in South Dakota by traffic fatality rate

Jones County had the highest traffic fatality rate of 66 counties in 2014, at 105.4 per 100,000 people. Union County had the lowest, at 0 per 100,000 people. The median was 18.7 per 100,000 people and the figure for South Dakota was 16 per 100,000 people. Source: NHTSA and BEA.

Keep it in a collection in your library.
Highest105.4Jones County
Median18.766 counties
South Dakota16History

Map of counties, 2014

Aurora County: 36.4 per 100,000 peopleBeadle County: 5.5 per 100,000 peopleBennett County: 29.2 per 100,000 peopleBon Homme County: 28.5 per 100,000 peopleBrookings County: 12.2 per 100,000 peopleBrown County: 10.5 per 100,000 peopleBrule County: 0 per 100,000 peopleBuffalo County: 0 per 100,000 peopleButte County: 19.7 per 100,000 peopleCampbell County: 0 per 100,000 peopleCharles Mix County: 10.8 per 100,000 peopleClark County: 27.2 per 100,000 peopleClay County: 14.1 per 100,000 peopleCodington County: 17.9 per 100,000 peopleCorson County: 73.1 per 100,000 peopleCuster County: 36.9 per 100,000 peopleDavison County: 0 per 100,000 peopleDay County: 36.1 per 100,000 peopleDeuel County: 46.5 per 100,000 peopleDewey County: 0 per 100,000 peopleDouglas County: 0 per 100,000 peopleEdmunds County: 74.3 per 100,000 peopleFall River County: 14.4 per 100,000 peopleFaulk County: 0 per 100,000 peopleGrant County: 39.8 per 100,000 peopleGregory County: 72.5 per 100,000 peopleHaakon County: 54.2 per 100,000 peopleHamlin County: 16.9 per 100,000 peopleHand County: 0 per 100,000 peopleHanson County: 29.3 per 100,000 peopleHarding County: 80.5 per 100,000 peopleHughes County: 0 per 100,000 peopleHutchinson County: 13.7 per 100,000 peopleHyde County: 0 per 100,000 peopleJackson County: 65.6 per 100,000 peopleJerauld County: 0 per 100,000 peopleJones County: 105.4 per 100,000 peopleKingsbury County: 38.9 per 100,000 peopleLake County: 17.4 per 100,000 peopleLawrence County: 24.4 per 100,000 peopleLincoln County: 9.5 per 100,000 peopleLyman County: 26.2 per 100,000 peopleMcCook County: 35.7 per 100,000 peopleMcPherson County: 0 per 100,000 peopleMarshall County: 22.3 per 100,000 peopleMeade County: 22 per 100,000 peopleMellette County: 50.1 per 100,000 peopleMiner County: 0 per 100,000 peopleMinnehaha County: 7.7 per 100,000 peopleMoody County: 47.2 per 100,000 peopleOglala Lakota County: 14.2 per 100,000 peoplePennington County: 12.4 per 100,000 peoplePerkins County: 33.1 per 100,000 peoplePotter County: 0 per 100,000 peopleRoberts County: 19.5 per 100,000 peopleSanborn County: 42.8 per 100,000 peopleSpink County: 0 per 100,000 peopleStanley County: 0 per 100,000 peopleSully County: 0 per 100,000 peopleTodd County: 20.9 per 100,000 peopleTripp County: 17.8 per 100,000 peopleTurner County: 48 per 100,000 peopleUnion County: 0 per 100,000 peopleWalworth County: 72.6 per 100,000 peopleYankton County: 39.2 per 100,000 peopleZiebach County: 72.9 per 100,000 people
  • Under 11
  • 11 to 19
  • 19 to 31
  • 31 to 47
  • 47 and over
per 100,000 people, 2014. Source: Invokely calculation with data from NHTSA, BEA. Boundaries: U.S. Census Bureau cartographic boundary files.

Top 40 counties, 2014

Jones County: 105.4 per 100,000 peopleJones County105.4Harding County: 80.5 per 100,000 peopleHarding County80.5Edmunds County: 74.3 per 100,000 peopleEdmunds County74.3Corson County: 73.1 per 100,000 peopleCorson County73.1Ziebach County: 72.9 per 100,000 peopleZiebach County72.9Walworth County: 72.6 per 100,000 peopleWalworth County72.6Gregory County: 72.5 per 100,000 peopleGregory County72.5Jackson County: 65.6 per 100,000 peopleJackson County65.6Haakon County: 54.2 per 100,000 peopleHaakon County54.2Mellette County: 50.1 per 100,000 peopleMellette County50.1Turner County: 48 per 100,000 peopleTurner County48Moody County: 47.2 per 100,000 peopleMoody County47.2Deuel County: 46.5 per 100,000 peopleDeuel County46.5Sanborn County: 42.8 per 100,000 peopleSanborn County42.8Grant County: 39.8 per 100,000 peopleGrant County39.8Yankton County: 39.2 per 100,000 peopleYankton County39.2Kingsbury County: 38.9 per 100,000 peopleKingsbury County38.9Custer County: 36.9 per 100,000 peopleCuster County36.9Aurora County: 36.4 per 100,000 peopleAurora County36.4Day County: 36.1 per 100,000 peopleDay County36.1McCook County: 35.7 per 100,000 peopleMcCook County35.7Perkins County: 33.1 per 100,000 peoplePerkins County33.1Hanson County: 29.3 per 100,000 peopleHanson County29.3Bennett County: 29.2 per 100,000 peopleBennett County29.2Bon Homme County: 28.5 per 100,000 peopleBon Homme County28.5Clark County: 27.2 per 100,000 peopleClark County27.2Lyman County: 26.2 per 100,000 peopleLyman County26.2Lawrence County: 24.4 per 100,000 peopleLawrence County24.4Marshall County: 22.3 per 100,000 peopleMarshall County22.3Meade County: 22 per 100,000 peopleMeade County22Todd County: 20.9 per 100,000 peopleTodd County20.9Butte County: 19.7 per 100,000 peopleButte County19.7Roberts County: 19.5 per 100,000 peopleRoberts County19.5Codington County: 17.9 per 100,000 peopleCodington County17.9Tripp County: 17.8 per 100,000 peopleTripp County17.8Lake County: 17.4 per 100,000 peopleLake County17.4Hamlin County: 16.9 per 100,000 peopleHamlin County16.9Fall River County: 14.4 per 100,000 peopleFall River County14.4Oglala Lakota County: 14.2 per 100,000 peopleOglala Lakota County14.2Clay County: 14.1 per 100,000 peopleClay County14.1Jones County: 105.4 per 100,000 peopleJones County105.4Harding County: 80.5 per 100,000 peopleHarding County80.5Edmunds County: 74.3 per 100,000 peopleEdmunds County74.3Corson County: 73.1 per 100,000 peopleCorson County73.1Ziebach County: 72.9 per 100,000 peopleZiebach County72.9Walworth County: 72.6 per 100,000 peopleWalworth County72.6Gregory County: 72.5 per 100,000 peopleGregory County72.5Jackson County: 65.6 per 100,000 peopleJackson County65.6Haakon County: 54.2 per 100,000 peopleHaakon County54.2Mellette County: 50.1 per 100,000 peopleMellette County50.1Turner County: 48 per 100,000 peopleTurner County48Moody County: 47.2 per 100,000 peopleMoody County47.2Deuel County: 46.5 per 100,000 peopleDeuel County46.5Sanborn County: 42.8 per 100,000 peopleSanborn County42.8Grant County: 39.8 per 100,000 peopleGrant County39.8Yankton County: 39.2 per 100,000 peopleYankton County39.2Kingsbury County: 38.9 per 100,000 peopleKingsbury County38.9Custer County: 36.9 per 100,000 peopleCuster County36.9Aurora County: 36.4 per 100,000 peopleAurora County36.4Day County: 36.1 per 100,000 peopleDay County36.1McCook County: 35.7 per 100,000 peopleMcCook County35.7Perkins County: 33.1 per 100,000 peoplePerkins County33.1Hanson County: 29.3 per 100,000 peopleHanson County29.3Bennett County: 29.2 per 100,000 peopleBennett County29.2Bon Homme County: 28.5 per 100,000 peopleBon Homme County28.5Clark County: 27.2 per 100,000 peopleClark County27.2Lyman County: 26.2 per 100,000 peopleLyman County26.2Lawrence County: 24.4 per 100,000 peopleLawrence County24.4Marshall County: 22.3 per 100,000 peopleMarshall County22.3Meade County: 22 per 100,000 peopleMeade County22Todd County: 20.9 per 100,000 peopleTodd County20.9Butte County: 19.7 per 100,000 peopleButte County19.7Roberts County: 19.5 per 100,000 peopleRoberts County19.5Codington County: 17.9 per 100,000 peopleCodington County17.9Tripp County: 17.8 per 100,000 peopleTripp County17.8Lake County: 17.4 per 100,000 peopleLake County17.4Hamlin County: 16.9 per 100,000 peopleHamlin County16.9Fall River County: 14.4 per 100,000 peopleFall River County14.4Oglala Lakota County: 14.2 per 100,000 peopleOglala Lakota County14.2Clay County: 14.1 per 100,000 peopleClay County14.1
per 100,000 people. Source: Invokely calculation with data from NHTSA, BEA. Retrieved 2026-10-12.

Full ranking

RankCounties2014
per 100,000 people
Change on 2013
1Jones County105.4+2 pts
2Harding County80.5+0.9 pts
3Edmunds County74.3+74.3 pts
4Corson County73.1+0.9 pts
5Ziebach County72.9-35.5 pts
6Walworth County72.6+54.4 pts
7Gregory County72.5+24.5 pts
8Jackson County65.6+65.6 pts
9Haakon County54.2+1 pts
10Mellette County50.1-50.3 pts
11Turner County48+48 pts
12Moody County47.2+31.6 pts
13Deuel County46.5+23.2 pts
14Sanborn County42.8-0.1 pts
15Grant County39.8+13.3 pts
16Yankton County39.2+26.1 pts
17Kingsbury County38.9+19.4 pts
18Custer County36.9+24.6 pts
19Aurora County36.4-110.7 pts
20Day County36.1-35.3 pts
21McCook County35.7+0.2 pts
22Perkins County33.10 pts
23Hanson County29.3-0.1 pts
24Bennett County29.2+0.3 pts
25Bon Homme County28.5-0 pts
26Clark County27.2-55.1 pts
27Lyman County26.2-52.4 pts
28Lawrence County24.4-3.8 pts
29Marshall County22.3+22.3 pts
30Meade County22-4.1 pts
31Todd County20.9+10.6 pts
32Butte County19.7+9.9 pts
33Roberts County19.5-19.6 pts
34Codington County17.9+10.7 pts
35Tripp County17.8+17.8 pts
36Lake County17.4-0 pts
37Hamlin County16.9-0.1 pts
38Fall River County14.4-14.6 pts
39Oglala Lakota County14.2-28.6 pts
40Clay County14.1+7 pts
41Hutchinson County13.7-0.1 pts
42Pennington County12.4+3.7 pts
43Brookings County12.2-9.2 pts
44Charles Mix County10.8-43.5 pts
45Brown County10.5+5.2 pts
46Lincoln County9.5-0.4 pts
47Minnehaha County7.7+1.6 pts
48Beadle County5.5-5.4 pts
49Brule County00 pts
49Buffalo County00 pts
49Campbell County0-73.2 pts
49Davison County0-10 pts
49Dewey County0-55.6 pts
49Douglas County00 pts
49Faulk County00 pts
49Hand County0-59.1 pts
49Hughes County0-5.7 pts
49Hyde County00 pts
49Jerauld County00 pts
49McPherson County0-41 pts
49Miner County0-42.7 pts
49Potter County00 pts
49Spink County0-15 pts
49Stanley County00 pts
49Sully County00 pts
49Union County0-13.3 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, 2014) [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, 2014. 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, 2014. 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, 2014 [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_2014,
  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, 2014}},
  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=2014. 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, 2014
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=2014
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=2014.
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?

Jones County, with 105.4 per 100,000 people in 2014, according to NHTSA and BEA.

Which county has the lowest traffic fatality rate?

Union County, with 0 per 100,000 people in 2014.

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