Counties in Kansas by traffic fatality rate
Hodgeman County had the highest traffic fatality rate of 105 counties in 2015, at 217.7 per 100,000 people. Stanton County had the lowest, at 0 per 100,000 people. The median was 18.5 per 100,000 people and the figure for Kansas was 12.1 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2015
- Under 11
- 11 to 19
- 19 to 29
- 29 to 38
- 38 and over
Top 40 counties, 2015
Full ranking
| Rank | Counties | 2015 | Change on 2014 |
|---|---|---|---|
| 1 | Hodgeman County | 217.7 | +217.7 pts |
| 2 | Chase County | 151.2 | +75.6 pts |
| 3 | Gove County | 145.8 | +145.8 pts |
| 4 | Wallace County | 133.3 | +133.3 pts |
| 5 | Sheridan County | 123.1 | +1.7 pts |
| 6 | Chautauqua County | 115.8 | +87.3 pts |
| 7 | Elk County | 78.2 | +40.9 pts |
| 8 | Trego County | 68.4 | -103.5 pts |
| 9 | Ness County | 67.2 | +34.4 pts |
| 10 | Pratt County | 61.7 | +41.3 pts |
| 11 | Lane County | 60.2 | +60.2 pts |
| 12 | Wilson County | 55.7 | +22.6 pts |
| 13 | Morris County | 54.2 | +36.3 pts |
| 14 | Wichita County | 45.5 | -135.1 pts |
| 15 | Russell County | 43 | +28.6 pts |
| 16 | Republic County | 42.1 | +42.1 pts |
| 17 | Rawlins County | 39.6 | +39.6 pts |
| 18 | Hamilton County | 38.6 | -36.1 pts |
| 19 | Grant County | 38.2 | +25.5 pts |
| 20 | Jefferson County | 38 | -10.6 pts |
| 21 | Phillips County | 37.7 | +0.7 pts |
| 22 | Cheyenne County | 37.4 | +37.4 pts |
| 23 | Logan County | 35.8 | -0.3 pts |
| 24 | Stevens County | 35 | -34.2 pts |
| 25 | Decatur County | 34.3 | +34.3 pts |
| 26 | Harper County | 34.2 | +0.2 pts |
| 27 | Gray County | 33.8 | +33.8 pts |
| 28 | Jewell County | 33.3 | +33.3 pts |
| 29 | Marion County | 33 | -16 pts |
| 30 | Greenwood County | 31.8 | -31.4 pts |
| 31 | Woodson County | 31.4 | +31.4 pts |
| 32 | Ellsworth County | 30.9 | -30.8 pts |
| 33 | Rice County | 30.2 | +10.2 pts |
| 34 | Jackson County | 30 | +0.3 pts |
| 35 | Cherokee County | 29.5 | +5.2 pts |
| 36 | Nemaha County | 29.5 | +29.5 pts |
| 37 | Wabaunsee County | 29.1 | +14.6 pts |
| 38 | Osborne County | 27.2 | -25.7 pts |
| 39 | Smith County | 26.9 | +26.9 pts |
| 40 | Anderson County | 25.8 | +0.2 pts |
| 41 | Doniphan County | 25.7 | +0.2 pts |
| 42 | Kingman County | 25.4 | +25.4 pts |
| 43 | Haskell County | 25 | +25 pts |
| 44 | Thomas County | 24.9 | -25.4 pts |
| 45 | Miami County | 24.5 | +12.3 pts |
| 46 | Clay County | 24 | +12 pts |
| 47 | Stafford County | 23.6 | +23.6 pts |
| 48 | Dickinson County | 20.8 | +5.3 pts |
| 49 | McPherson County | 20.3 | +6.8 pts |
| 50 | Harvey County | 20.2 | +5.7 pts |
| 51 | Ford County | 19.9 | +11.4 pts |
| 52 | Labette County | 19.1 | -14.2 pts |
| 53 | Barton County | 18.5 | +7.5 pts |
| 54 | Neosho County | 18.4 | -12.2 pts |
| 55 | Washington County | 17.8 | +0.1 pts |
| 56 | Ottawa County | 16.8 | -32.9 pts |
| 57 | Butler County | 16.5 | +5.9 pts |
| 58 | Pawnee County | 14.9 | -29.4 pts |
| 59 | Cowley County | 14 | +0.1 pts |
| 60 | Bourbon County | 13.6 | +13.6 pts |
| 61 | Finney County | 13 | -8 pts |
| 62 | Pottawatomie County | 12.8 | -8.9 pts |
| 63 | Leavenworth County | 12.6 | +3.7 pts |
| 64 | Seward County | 12.6 | -29.6 pts |
| 65 | Osage County | 12.6 | -37.5 pts |
| 66 | Atchison County | 12.1 | -5.9 pts |
| 67 | Montgomery County | 12 | -26.2 pts |
| 68 | Coffey County | 11.9 | +0.1 pts |
| 69 | Franklin County | 11.7 | -3.9 pts |
| 70 | Wyandotte County | 10.9 | +1.1 pts |
| 71 | Saline County | 10.8 | +3.6 pts |
| 72 | Cloud County | 10.7 | -42.1 pts |
| 73 | Geary County | 10.2 | +5 pts |
| 74 | Crawford County | 10.2 | 0 pts |
| 75 | Marshall County | 10 | -29.6 pts |
| 76 | Sedgwick County | 9.7 | -0.1 pts |
| 77 | Lyon County | 9.2 | 0 pts |
| 78 | Sumner County | 8.6 | -17.2 pts |
| 79 | Allen County | 7.9 | -7.6 pts |
| 80 | Riley County | 7.8 | +3.9 pts |
| 81 | Shawnee County | 6.7 | -5.6 pts |
| 82 | Reno County | 6.3 | -7.8 pts |
| 83 | Douglas County | 6 | -0.9 pts |
| 84 | Johnson County | 4.1 | +0.5 pts |
| 85 | Ellis County | 3.4 | -13.8 pts |
| 86 | Barber County | 0 | -20.8 pts |
| 86 | Brown County | 0 | -20.4 pts |
| 86 | Clark County | 0 | 0 pts |
| 86 | Comanche County | 0 | 0 pts |
| 86 | Edwards County | 0 | -32.4 pts |
| 86 | Graham County | 0 | 0 pts |
| 86 | Greeley County | 0 | -74.9 pts |
| 86 | Kearny County | 0 | -49.6 pts |
| 86 | Kiowa County | 0 | -118.6 pts |
| 86 | Lincoln County | 0 | -31.6 pts |
| 86 | Linn County | 0 | -42.1 pts |
| 86 | Meade County | 0 | -68.7 pts |
| 86 | Mitchell County | 0 | -32.2 pts |
| 86 | Morton County | 0 | -64.4 pts |
| 86 | Norton County | 0 | 0 pts |
| 86 | Rooks County | 0 | -38.2 pts |
| 86 | Rush County | 0 | -63.3 pts |
| 86 | Scott County | 0 | 0 pts |
| 86 | Sherman County | 0 | -16.3 pts |
| 86 | Stanton 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, 2015) [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, 2015. 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, 2015. 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, 2015 [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_2015,
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, 2015}},
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=2015. 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, 2015
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=2015
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=2015.
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?
Hodgeman County, with 217.7 per 100,000 people in 2015, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Stanton County, with 0 per 100,000 people in 2015.
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