Counties in Kansas by traffic fatality rate
Stafford County had the highest traffic fatality rate of 105 counties in 2022, at 175.9 per 100,000 people. Wabaunsee County had the lowest, at 0 per 100,000 people. The median was 16 per 100,000 people and the figure for Kansas was 14 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2022
- Under 12
- 12 to 16
- 16 to 28
- 28 to 51
- 51 and over
Top 40 counties, 2022
Full ranking
| Rank | Counties | 2022 | Change on 2021 |
|---|---|---|---|
| 1 | Stafford County | 175.9 | +151 pts |
| 2 | Wichita County | 145.6 | +145.6 pts |
| 3 | Kingman County | 125.3 | +111.6 pts |
| 4 | Hamilton County | 122.7 | +42 pts |
| 5 | Gove County | 109.4 | +36.7 pts |
| 6 | Clark County | 102.7 | -50.6 pts |
| 7 | Stanton County | 101.2 | +52.3 pts |
| 8 | Kiowa County | 83 | +41.4 pts |
| 9 | Pawnee County | 81.3 | +49.2 pts |
| 10 | Russell County | 74.3 | +59.4 pts |
| 11 | Marion County | 67.8 | +8.2 pts |
| 12 | Wallace County | 67.1 | +67.1 pts |
| 13 | Republic County | 64.7 | +22.1 pts |
| 14 | Ellsworth County | 62.5 | -16.5 pts |
| 15 | Hodgeman County | 58.6 | +0.6 pts |
| 16 | Norton County | 56.4 | +19.1 pts |
| 17 | Gray County | 52.6 | +17.2 pts |
| 18 | Meade County | 51.2 | +26.2 pts |
| 19 | Clay County | 49.7 | +25 pts |
| 20 | Brown County | 42.7 | -31.3 pts |
| 21 | Graham County | 41.8 | -41.5 pts |
| 22 | Sheridan County | 41.2 | +0.4 pts |
| 23 | Linn County | 40.9 | -0.1 pts |
| 24 | Elk County | 40.9 | +40.9 pts |
| 25 | Chase County | 39.1 | -76 pts |
| 26 | Osage County | 38.2 | +25.5 pts |
| 27 | Decatur County | 37.3 | +37.3 pts |
| 28 | Washington County | 36.4 | +0.2 pts |
| 29 | Sumner County | 35.7 | +8.9 pts |
| 30 | Jewell County | 34.4 | -33.5 pts |
| 31 | Lyon County | 34.4 | +12.5 pts |
| 32 | Rush County | 33.9 | -68.3 pts |
| 33 | Greenwood County | 33.8 | -50.6 pts |
| 34 | Woodson County | 32 | -0.4 pts |
| 35 | Haskell County | 28 | -54.1 pts |
| 36 | Jefferson County | 27.3 | +5.6 pts |
| 37 | Kearny County | 25.9 | +0.3 pts |
| 38 | Barber County | 24.2 | -0.1 pts |
| 39 | McPherson County | 23.3 | +16.6 pts |
| 40 | Franklin County | 23.1 | +3.9 pts |
| 41 | Pottawatomie County | 22.8 | +11.2 pts |
| 42 | Montgomery County | 22.7 | +6.6 pts |
| 43 | Cloud County | 22.4 | +11.2 pts |
| 44 | Rice County | 21.3 | +10.7 pts |
| 45 | Phillips County | 20.9 | +0.1 pts |
| 46 | Ford County | 20.7 | +3.1 pts |
| 47 | Scott County | 20 | +0.4 pts |
| 48 | Nemaha County | 19.7 | +0.1 pts |
| 49 | Harper County | 18.6 | -18.8 pts |
| 50 | Mitchell County | 17.3 | +17.3 pts |
| 51 | Ottawa County | 17.1 | -17.1 pts |
| 52 | Dickinson County | 16.4 | -21.6 pts |
| 53 | Allen County | 16 | +16 pts |
| 54 | Cherokee County | 15.8 | -5.1 pts |
| 55 | Wyandotte County | 15.1 | +0.1 pts |
| 56 | Jackson County | 15.1 | -22.6 pts |
| 57 | Saline County | 15 | +2 pts |
| 58 | Harvey County | 14.8 | -14.8 pts |
| 59 | Geary County | 14.1 | +5.8 pts |
| 60 | Grant County | 13.8 | -13.4 pts |
| 61 | Sedgwick County | 13.5 | +0.7 pts |
| 62 | Doniphan County | 13.4 | -26.9 pts |
| 63 | Butler County | 13.2 | +2.9 pts |
| 64 | Anderson County | 12.8 | 0 pts |
| 65 | Crawford County | 12.8 | -5.2 pts |
| 66 | Thomas County | 12.7 | -25 pts |
| 67 | Leavenworth County | 12.1 | -0.1 pts |
| 68 | Barton County | 12 | +4.1 pts |
| 69 | Shawnee County | 11.8 | -3.3 pts |
| 70 | Wilson County | 11.7 | -23.5 pts |
| 71 | Cowley County | 11.6 | -11.5 pts |
| 72 | Miami County | 11.5 | +2.8 pts |
| 73 | Labette County | 10.1 | -20 pts |
| 74 | Marshall County | 10 | +10 pts |
| 75 | Reno County | 9.8 | +6.5 pts |
| 76 | Finney County | 8 | -5.2 pts |
| 77 | Ellis County | 6.9 | -3.5 pts |
| 78 | Bourbon County | 6.9 | -21 pts |
| 79 | Douglas County | 5.8 | +0.8 pts |
| 80 | Riley County | 5.6 | -4.2 pts |
| 81 | Johnson County | 5 | +1.3 pts |
| 82 | Seward County | 4.7 | -13.7 pts |
| 83 | Atchison County | 0 | -24.6 pts |
| 83 | Chautauqua County | 0 | 0 pts |
| 83 | Cheyenne County | 0 | -75.9 pts |
| 83 | Coffey County | 0 | -12 pts |
| 83 | Comanche County | 0 | -60 pts |
| 83 | Edwards County | 0 | -35.7 pts |
| 83 | Greeley County | 0 | -389.7 pts |
| 83 | Lane County | 0 | -127.9 pts |
| 83 | Lincoln County | 0 | 0 pts |
| 83 | Logan County | 0 | -147.4 pts |
| 83 | Morris County | 0 | -37.1 pts |
| 83 | Morton County | 0 | 0 pts |
| 83 | Neosho County | 0 | -31.7 pts |
| 83 | Ness County | 0 | 0 pts |
| 83 | Osborne County | 0 | 0 pts |
| 83 | Pratt County | 0 | 0 pts |
| 83 | Rawlins County | 0 | 0 pts |
| 83 | Rooks County | 0 | -61.7 pts |
| 83 | Sherman County | 0 | -33.7 pts |
| 83 | Smith County | 0 | -28 pts |
| 83 | Stevens County | 0 | -56.5 pts |
| 83 | Trego County | 0 | -35.8 pts |
| 83 | Wabaunsee County | 0 | -14.3 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
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, 2022) [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, 2022. 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, 2022. 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, 2022 [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_2022,
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, 2022}},
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?period=2022. 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, 2022
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?period=2022
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?period=2022.
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
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 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?
Stafford County, with 175.9 per 100,000 people in 2022, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Wabaunsee County, with 0 per 100,000 people in 2022.
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 Kansas: more rankings
- Uninsured rate, ages 35 to 64 (US, ACS)
- Uninsured rate, ages 18 to 64 (US model-based estimate)
- Uninsured rate, all ages (US)
- Adult cigarette smoking rate, local model estimate
- Per capita income (US five-year survey estimate)
- Residents who moved from another county in the past year
- Poverty rate (US five-year survey estimate)
- Bachelor's degree or higher, population 25 and over