Counties in Kansas by traffic fatality rate, 2024
Kiowa County had the highest traffic fatality rate of 105 counties in 2024, at 123.2 per 100,000 people. Wichita County had the lowest, at 0 per 100,000 people. The median was 12 per 100,000 people and the figure for Kansas was 11.4 per 100,000 people. Source: NHTSA and BEA.
Top 40 counties, 2024
Full ranking
| Rank | Counties | 2024 | Change on 2023 |
|---|---|---|---|
| 1 | Kiowa County Estimated | 123.2 | -43.2 pts |
| 2 | Clay County Estimated | 87.8 | +75.3 pts |
| 3 | Sheridan County Estimated | 83.4 | +0.4 pts |
| 4 | Cheyenne County Estimated | 75.6 | +75.6 pts |
| 5 | Edwards County Estimated | 73.2 | +36.6 pts |
| 6 | Gray County Estimated | 69.8 | -16.9 pts |
| 7 | Republic County Estimated | 65 | +43.3 pts |
| 8 | Thomas County Estimated | 64.1 | +13.2 pts |
| 9 | Morris County Estimated | 56.8 | +37.9 pts |
| 10 | Pratt County Estimated | 43.8 | -55 pts |
| 11 | Brown County Estimated | 43.8 | +11.4 pts |
| 12 | Graham County Estimated | 42.2 | 0 pts |
| 13 | Wabaunsee County Estimated | 42.2 | -0.2 pts |
| 14 | Rawlins County Estimated | 41.1 | -39.5 pts |
| 15 | Morton County Estimated | 40.2 | +40.2 pts |
| 16 | Neosho County Estimated | 38.6 | +19.2 pts |
| 17 | Ness County Estimated | 38.2 | +0.3 pts |
| 18 | Gove County Estimated | 37.6 | -108.7 pts |
| 19 | Norton County Estimated | 37.5 | +18.7 pts |
| 20 | Washington County Estimated | 35.9 | -18.1 pts |
| 21 | Wilson County Estimated | 35.7 | -47.2 pts |
| 22 | Rush County Estimated | 35.6 | +0.3 pts |
| 23 | Montgomery County Estimated | 32.8 | +23.1 pts |
| 24 | Woodson County Estimated | 32.1 | +0.2 pts |
| 25 | Atchison County Estimated | 30.8 | +24.6 pts |
| 26 | Jackson County Estimated | 29.6 | +14.6 pts |
| 27 | Kingman County Estimated | 28.8 | +14.7 pts |
| 28 | Smith County Estimated | 28.2 | +28.2 pts |
| 29 | Marion County Estimated | 25.7 | -16.8 pts |
| 30 | Meade County Estimated | 25.7 | +0.1 pts |
| 31 | Allen County Estimated | 24.1 | +24.1 pts |
| 32 | Jefferson County Estimated | 21.8 | +5.4 pts |
| 33 | Rice County Estimated | 21.5 | -10.7 pts |
| 34 | Phillips County Estimated | 21.1 | -20.9 pts |
| 35 | Cherokee County Estimated | 20.9 | -10.5 pts |
| 36 | Cowley County Estimated | 20.5 | +5.9 pts |
| 37 | Stevens County Estimated | 19.9 | +19.9 pts |
| 38 | Seward County Estimated | 18.8 | +9.4 pts |
| 39 | Harper County Estimated | 18.5 | -18.6 pts |
| 40 | Sumner County Estimated | 17.9 | -8.9 pts |
| 41 | Sherman County Estimated | 17.3 | +17.3 pts |
| 42 | Crawford County Estimated | 15.4 | +2.6 pts |
| 43 | Franklin County Estimated | 15.2 | -3.8 pts |
| 44 | Harvey County Estimated | 14.9 | -6 pts |
| 45 | Geary County Estimated | 14.1 | +5.6 pts |
| 46 | Ellis County Estimated | 13.8 | +10.3 pts |
| 47 | Shawnee County Estimated | 13.5 | +6.7 pts |
| 48 | Doniphan County Estimated | 13.2 | +13.2 pts |
| 49 | McPherson County Estimated | 13.2 | -3.3 pts |
| 50 | Saline County Estimated | 13.1 | +1.8 pts |
| 51 | Wyandotte County Estimated | 12.4 | -3.2 pts |
| 52 | Lyon County Estimated | 12.3 | -9.4 pts |
| 53 | Coffey County Estimated | 12 | -36.3 pts |
| 54 | Cloud County Estimated | 11.5 | +0.2 pts |
| 55 | Sedgwick County Estimated | 11.4 | +1.2 pts |
| 56 | Miami County Estimated | 11.2 | -5.8 pts |
| 57 | Dickinson County Estimated | 10.7 | -11 pts |
| 58 | Labette County Estimated | 10.2 | -20.1 pts |
| 59 | Butler County Estimated | 10.1 | -13.2 pts |
| 60 | Marshall County Estimated | 10.1 | -10 pts |
| 61 | Nemaha County Estimated | 9.9 | +9.9 pts |
| 62 | Leavenworth County Estimated | 8.3 | +4.7 pts |
| 63 | Reno County Estimated | 8.1 | -9.8 pts |
| 64 | Bourbon County Estimated | 6.9 | -13.9 pts |
| 65 | Douglas County Estimated | 6.6 | +0.8 pts |
| 66 | Osage County Estimated | 6.4 | -12.6 pts |
| 67 | Riley County Estimated | 5.5 | -4.3 pts |
| 68 | Finney County Estimated | 5.2 | -7.9 pts |
| 69 | Barton County Estimated | 4 | -16.1 pts |
| 70 | Pottawatomie County Estimated | 3.7 | -3.8 pts |
| 71 | Johnson County Estimated | 3.6 | -0.2 pts |
| 72 | Ford County Estimated | 2.9 | -8.8 pts |
| 73 | Anderson County Estimated | 0 | 0 pts |
| 73 | Barber County Estimated | 0 | -24.5 pts |
| 73 | Chase County Estimated | 0 | -117.4 pts |
| 73 | Chautauqua County Estimated | 0 | -59.5 pts |
| 73 | Clark County Estimated | 0 | -161.2 pts |
| 73 | Comanche County Estimated | 0 | -59.7 pts |
| 73 | Decatur County Estimated | 0 | -36.6 pts |
| 73 | Elk County Estimated | 0 | 0 pts |
| 73 | Ellsworth County Estimated | 0 | -31.3 pts |
| 73 | Grant County Estimated | 0 | -41.9 pts |
| 73 | Greeley County Estimated | 0 | -85.2 pts |
| 73 | Greenwood County Estimated | 0 | -50.8 pts |
| 73 | Hamilton County Estimated | 0 | -40.7 pts |
| 73 | Haskell County Estimated | 0 | -27.5 pts |
| 73 | Hodgeman County Estimated | 0 | -59.5 pts |
| 73 | Jewell County Estimated | 0 | -68.9 pts |
| 73 | Kearny County Estimated | 0 | 0 pts |
| 73 | Lane County Estimated | 0 | 0 pts |
| 73 | Lincoln County Estimated | 0 | 0 pts |
| 73 | Linn County Estimated | 0 | -50.6 pts |
| 73 | Logan County Estimated | 0 | 0 pts |
| 73 | Mitchell County Estimated | 0 | -17.3 pts |
| 73 | Osborne County Estimated | 0 | 0 pts |
| 73 | Ottawa County Estimated | 0 | -34.2 pts |
| 73 | Pawnee County Estimated | 0 | -65.9 pts |
| 73 | Rooks County Estimated | 0 | 0 pts |
| 73 | Russell County Estimated | 0 | -29.9 pts |
| 73 | Scott County Estimated | 0 | 0 pts |
| 73 | Stafford County Estimated | 0 | -25.3 pts |
| 73 | Stanton County Estimated | 0 | 0 pts |
| 73 | Trego County Estimated | 0 | 0 pts |
| 73 | Wallace County Estimated | 0 | -199.9 pts |
| 73 | Wichita County Estimated | 0 | 0 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
APA 7
Invokely. (n.d.). NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents (Counties in Kansas 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 Kansas 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 Kansas 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 Kansas 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_kansas_by_2024,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in Kansas 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/kansas-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 Kansas 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/kansas-counties
Y2 - 2026/10/12
N1 - Calculated from data by NHTSA and BEA.
N1 - Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/kansas-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 -
Use this data in your AI agent
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Rank Counties in Kansas by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"Kansas","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=Kansas&limit=10
Questions
Which county has the highest traffic fatality rate?
Kiowa County, with 123.2 per 100,000 people in 2024, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Wichita 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.