Counties in South Dakota by traffic fatality rate, 2024

Name: Counties in South Dakota by traffic fatality rate, 2024
License: https://invokely.ai/docs/methodology

Buffalo County had the highest traffic fatality rate of 66 counties in 2024, at 219.2 per 100,000 people. Walworth County had the lowest, at 0 per 100,000 people. The median was 14.7 per 100,000 people and the figure for South Dakota was 15.7 per 100,000 people. Source: NHTSA and BEA.

Highest219.2Buffalo County

Lowest0Walworth County

Median14.766 counties

South Dakota15.7History

Top 40 counties, 2024

per 100,000 people. Source: Invokely calculation with data from NHTSA, BEA. Retrieved 2026-10-12.

Full ranking

Rank	Counties	2024 per 100,000 people	Change on 2023
1	Buffalo County Estimated	219.2	+113 pts
2	Harding County Estimated	150.9	+150.9 pts
3	Lyman County Estimated	134.4	+26.8 pts
4	Jackson County Estimated	109.6	-34.7 pts
5	McCook County Estimated	104	+104 pts
6	Charles Mix County Estimated	85.6	+53.3 pts
7	Hyde County Estimated	82.3	+82.3 pts
8	Deuel County Estimated	69.2	+69.2 pts
9	Fall River County Estimated	67.9	+54.4 pts
10	Stanley County Estimated	66.3	+66.3 pts
11	Jerauld County Estimated	59.2	+59.2 pts
12	Haakon County Estimated	54.5	+0.6 pts
13	Hutchinson County Estimated	53.9	+27 pts
14	Ziebach County Estimated	41.4	+41.4 pts
15	Lawrence County Estimated	38.2	-4.5 pts
16	Aurora County Estimated	36.3	-35.2 pts
17	Moody County Estimated	30.6	+30.6 pts
18	Bennett County Estimated	30.4	+30.4 pts
19	Hanson County Estimated	28.8	-29.1 pts
20	Bon Homme County Estimated	28.3	+14.2 pts
21	Butte County Estimated	27.5	+18.3 pts
22	Corson County Estimated	26.7	-26.6 pts
23	Meade County Estimated	22.6	+6.5 pts
24	Oglala Lakota County Estimated	22.5	-44.7 pts
25	Custer County Estimated	21.4	-22.4 pts
26	Beadle County Estimated	20.6	+15.4 pts
27	Roberts County Estimated	19.5	-9.9 pts
28	Brule County Estimated	19	+0.2 pts
28	Kingsbury County Estimated	19	0 pts
30	Dewey County Estimated	18.8	-0.5 pts
31	Codington County Estimated	17.1	+3.3 pts
32	Yankton County Estimated	17	+4.3 pts
33	Spink County Estimated	16.4	-16.2 pts
34	Grant County Estimated	13.1	-0.1 pts
35	Clay County Estimated	13.1	+13.1 pts
36	Union County Estimated	11.5	-0.1 pts
37	Lincoln County Estimated	10.6	-4.4 pts
38	Pennington County Estimated	10.3	+1.7 pts
39	Brown County Estimated	8	0 pts
40	Minnehaha County Estimated	7.7	-1 pts
41	Hughes County Estimated	5.7	0 pts
42	Brookings County Estimated	5.5	-5.6 pts
43	Campbell County Estimated	0	0 pts
43	Clark County Estimated	0	0 pts
43	Davison County Estimated	0	-15 pts
43	Day County Estimated	0	0 pts
43	Douglas County Estimated	0	0 pts
43	Edmunds County Estimated	0	0 pts
43	Faulk County Estimated	0	0 pts
43	Gregory County Estimated	0	-24.9 pts
43	Hamlin County Estimated	0	0 pts
43	Hand County Estimated	0	0 pts
43	Jones County Estimated	0	-232 pts
43	Lake County Estimated	0	-27.2 pts
43	Marshall County Estimated	0	-45.9 pts
43	McPherson County Estimated	0	0 pts
43	Mellette County Estimated	0	-54.3 pts
43	Miner County Estimated	0	-87.2 pts
43	Perkins County Estimated	0	0 pts
43	Potter County Estimated	0	0 pts
43	Sanborn County Estimated	0	-41.5 pts
43	Sully County Estimated	0	0 pts
43	Todd County Estimated	0	-10.9 pts
43	Tripp County Estimated	0	-17.8 pts
43	Turner County Estimated	0	0 pts
43	Walworth County Estimated	0	-38 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, 2024) [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, 2024. 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, 2024. 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, 2024 [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_2024,
  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, 2024}},
  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. 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, 2024
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
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.
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?

Buffalo County, with 219.2 per 100,000 people in 2024, according to NHTSA and BEA.

Which county has the lowest traffic fatality rate?

Walworth County, with 0 per 100,000 people in 2024.

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.