Counties in Kansas by traffic fatality rate
Chase County had the highest traffic fatality rate of 105 counties in 2019, at 233.3 per 100,000 people. Wallace County had the lowest, at 0 per 100,000 people. The median was 18.3 per 100,000 people and the figure for Kansas was 14 per 100,000 people. Source: NHTSA and BEA.
Top 40 counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Chase County | 233.3 | +194.1 pts |
| 2 | Hamilton County | 155.7 | +155.7 pts |
| 3 | Republic County | 149.6 | +149.6 pts |
| 4 | Meade County | 148.4 | +26.7 pts |
| 5 | Barber County | 92.7 | +92.7 pts |
| 6 | Wichita County | 91.8 | +45.6 pts |
| 7 | Chautauqua County | 90.4 | +90.4 pts |
| 8 | Sheridan County | 81.6 | +81.6 pts |
| 9 | Cheyenne County | 76.3 | +76.3 pts |
| 10 | Decatur County | 71.5 | +71.5 pts |
| 11 | Trego County | 71.1 | +71.1 pts |
| 12 | Wilson County | 68.3 | +57.1 pts |
| 13 | Lane County | 63.3 | +63.3 pts |
| 14 | Woodson County | 62.9 | +62.9 pts |
| 15 | Comanche County | 59.2 | +59.2 pts |
| 16 | Hodgeman County | 58.5 | +58.5 pts |
| 17 | Thomas County | 50.5 | -25.8 pts |
| 18 | Clark County | 49.6 | -50.2 pts |
| 19 | Franklin County | 42.5 | +15.5 pts |
| 20 | Brown County | 42 | -31.1 pts |
| 21 | Grant County | 40.7 | +14 pts |
| 22 | Elk County | 40.3 | +40.3 pts |
| 23 | Rawlins County | 39.4 | +39.4 pts |
| 24 | Montgomery County | 37.8 | +15.9 pts |
| 25 | Jefferson County | 37.8 | +26.9 pts |
| 26 | Morton County | 37.3 | +37.3 pts |
| 27 | Ness County | 37 | +0.5 pts |
| 28 | Gove County | 36.5 | -38.2 pts |
| 29 | Harper County | 36 | +36 pts |
| 30 | Ottawa County | 34.9 | +0.2 pts |
| 31 | Labette County | 34.6 | +34.6 pts |
| 32 | Lincoln County | 34.2 | +34.2 pts |
| 33 | Marion County | 33.4 | +0.1 pts |
| 34 | Rush County | 33.4 | +33.4 pts |
| 35 | Greenwood County | 32.8 | +16.4 pts |
| 36 | Osage County | 31.5 | +6.3 pts |
| 37 | Ellsworth County | 31.3 | -140 pts |
| 38 | Wabaunsee County | 29.1 | +14.5 pts |
| 39 | Doniphan County | 26.4 | +13.3 pts |
| 40 | Haskell County | 26.1 | -25.8 pts |
| 41 | Kearny County | 25 | +25 pts |
| 42 | Geary County | 24.9 | +19.4 pts |
| 43 | Finney County | 23.3 | +18.1 pts |
| 44 | Rice County | 21 | -10.7 pts |
| 45 | Bourbon County | 20.9 | +13.9 pts |
| 46 | Leavenworth County | 20.8 | +3.6 pts |
| 47 | Linn County | 20.8 | -20.5 pts |
| 48 | Marshall County | 19.9 | -20 pts |
| 49 | Nemaha County | 19.4 | +19.4 pts |
| 50 | Reno County | 19.4 | +4.9 pts |
| 51 | Stevens County | 18.9 | -36.8 pts |
| 52 | Morris County | 18.3 | -0.2 pts |
| 53 | Norton County | 18.3 | -17.9 pts |
| 54 | Washington County | 18 | -0 pts |
| 55 | Crawford County | 18 | +7.7 pts |
| 56 | Sumner County | 17.7 | +0.2 pts |
| 57 | McPherson County | 16.6 | -20.1 pts |
| 58 | Sherman County | 16.5 | -16.7 pts |
| 59 | Butler County | 16.4 | +4.4 pts |
| 60 | Pawnee County | 15.9 | -30.5 pts |
| 61 | Barton County | 15.6 | +11.7 pts |
| 62 | Russell County | 14.8 | -58.9 pts |
| 63 | Wyandotte County | 13 | +1.1 pts |
| 64 | Saline County | 12.9 | +1.9 pts |
| 65 | Lyon County | 12.4 | +0.1 pts |
| 66 | Atchison County | 12.2 | -48.7 pts |
| 67 | Coffey County | 12 | -23.9 pts |
| 68 | Pottawatomie County | 12 | -0.1 pts |
| 69 | Miami County | 11.7 | -12.1 pts |
| 70 | Harvey County | 11.7 | -6 pts |
| 71 | Ford County | 11.6 | +3 pts |
| 72 | Cloud County | 11 | +11 pts |
| 73 | Sedgwick County | 10.9 | -3 pts |
| 74 | Pratt County | 10.9 | -21.1 pts |
| 75 | Dickinson County | 10.8 | -32 pts |
| 76 | Ellis County | 10.4 | +3.5 pts |
| 77 | Cherokee County | 10.2 | -30.4 pts |
| 78 | Douglas County | 10.1 | +5 pts |
| 79 | Seward County | 9 | -13.1 pts |
| 80 | Cowley County | 8.7 | -8.5 pts |
| 81 | Shawnee County | 8.4 | -1.7 pts |
| 82 | Allen County | 8 | -7.9 pts |
| 83 | Jackson County | 7.6 | -14.9 pts |
| 84 | Riley County | 5.6 | +0.2 pts |
| 85 | Johnson County | 4.8 | +1 pts |
| 86 | Anderson County | 0 | -64.5 pts |
| 86 | Clay County | 0 | -12.4 pts |
| 86 | Edwards County | 0 | -34.1 pts |
| 86 | Graham County | 0 | 0 pts |
| 86 | Gray County | 0 | -17.2 pts |
| 86 | Greeley County | 0 | 0 pts |
| 86 | Jewell County | 0 | -34.5 pts |
| 86 | Kingman County | 0 | -39.8 pts |
| 86 | Kiowa County | 0 | -200.8 pts |
| 86 | Logan County | 0 | 0 pts |
| 86 | Mitchell County | 0 | 0 pts |
| 86 | Neosho County | 0 | -12.5 pts |
| 86 | Osborne County | 0 | -28.5 pts |
| 86 | Phillips County | 0 | -19.6 pts |
| 86 | Rooks County | 0 | -19.8 pts |
| 86 | Scott County | 0 | -38.4 pts |
| 86 | Smith County | 0 | 0 pts |
| 86 | Stafford County | 0 | -48.3 pts |
| 86 | Stanton County | 0 | -94.2 pts |
| 86 | Wallace County | 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, 2019) [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, 2019. 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, 2019. 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, 2019 [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_2019,
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, 2019}},
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=2019. 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, 2019
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=2019
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=2019.
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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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?
Chase County, with 233.3 per 100,000 people in 2019, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Wallace County, with 0 per 100,000 people in 2019.
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