Counties in Ohio by traffic fatality rate
Monroe County had the highest traffic fatality rate of 88 counties in 2019, at 51.9 per 100,000 people. Putnam County had the lowest, at 0 per 100,000 people. The median was 12.4 per 100,000 people and the figure for Ohio was 9.8 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2019
- Under 7.3
- 7.3 to 10
- 10 to 12
- 12 to 16
- 16 to 22
- 22 and over
Top 40 counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Monroe County | 51.9 | +51.9 pts |
| 2 | Noble County | 42.2 | +21 pts |
| 3 | Wyandot County | 36.4 | +27.3 pts |
| 4 | Preble County | 34.2 | +19.6 pts |
| 5 | Morgan County | 28.6 | +14.4 pts |
| 6 | Van Wert County | 27.7 | +13.8 pts |
| 7 | Meigs County | 26.8 | -8.6 pts |
| 8 | Clinton County | 26.2 | +9.6 pts |
| 9 | Logan County | 25.9 | -0.2 pts |
| 10 | Pickaway County | 25.7 | +8.4 pts |
| 11 | Fayette County | 24.3 | +3.5 pts |
| 12 | Mercer County | 23.6 | +18.8 pts |
| 13 | Champaign County | 23.3 | +10.3 pts |
| 14 | Shelby County | 22.7 | +6.2 pts |
| 15 | Belmont County | 22.3 | +14.9 pts |
| 16 | Huron County | 22.1 | +10.2 pts |
| 17 | Henry County | 21.7 | -14.4 pts |
| 18 | Hancock County | 21.3 | +6.7 pts |
| 19 | Sandusky County | 20.3 | +1.7 pts |
| 20 | Ottawa County | 19.7 | +5 pts |
| 21 | Fulton County | 18.7 | +4.7 pts |
| 22 | Jackson County | 18.4 | -3.1 pts |
| 23 | Pike County | 18.4 | -10.8 pts |
| 24 | Adams County | 18.2 | 0 pts |
| 25 | Ross County | 18.1 | -7.7 pts |
| 26 | Holmes County | 18.1 | +13.6 pts |
| 27 | Darke County | 17.4 | +5.8 pts |
| 28 | Muskingum County | 17.4 | +4.6 pts |
| 29 | Morrow County | 17.2 | +5.7 pts |
| 30 | Coshocton County | 16.4 | +8.2 pts |
| 31 | Erie County | 15.8 | +7.9 pts |
| 32 | Licking County | 15.8 | +3.8 pts |
| 33 | Vinton County | 15.6 | +0.1 pts |
| 34 | Ashtabula County | 15.3 | -7.1 pts |
| 35 | Perry County | 14.1 | -0 pts |
| 36 | Miami County | 13.9 | +3.6 pts |
| 37 | Harrison County | 13.7 | -47.5 pts |
| 38 | Brown County | 13.7 | -2.2 pts |
| 39 | Gallia County | 13.7 | -6.7 pts |
| 40 | Hardin County | 13 | -6.4 pts |
| 41 | Athens County | 12.8 | -6.3 pts |
| 42 | Seneca County | 12.7 | +5.4 pts |
| 43 | Geauga County | 12.6 | +5.2 pts |
| 44 | Greene County | 12.5 | +8.3 pts |
| 45 | Marion County | 12.2 | -7.5 pts |
| 46 | Scioto County | 12.1 | -3.9 pts |
| 47 | Washington County | 11.7 | 0 pts |
| 48 | Ashland County | 11.4 | -3.7 pts |
| 49 | Madison County | 11.3 | -9.2 pts |
| 50 | Richland County | 11.2 | +4.8 pts |
| 51 | Knox County | 11.2 | -9.7 pts |
| 52 | Wayne County | 11.1 | +3.4 pts |
| 53 | Mahoning County | 10.9 | +2.7 pts |
| 54 | Auglaize County | 10.8 | -4.3 pts |
| 55 | Williams County | 10.7 | -13.5 pts |
| 56 | Tuscarawas County | 10.7 | -2.2 pts |
| 57 | Hocking County | 10.7 | -10.6 pts |
| 58 | Guernsey County | 10.4 | -2.5 pts |
| 59 | Lawrence County | 10.2 | +3.5 pts |
| 60 | Fairfield County | 10.2 | +0.5 pts |
| 61 | Clermont County | 10.1 | +2.4 pts |
| 62 | Wood County | 9.8 | -3.8 pts |
| 63 | Montgomery County | 9.7 | +0.9 pts |
| 64 | Trumbull County | 9.4 | +3.5 pts |
| 65 | Allen County | 8.8 | -2.9 pts |
| 66 | Warren County | 8.8 | +1.1 pts |
| 67 | Portage County | 8.7 | +4.3 pts |
| 68 | Franklin County | 8.3 | +1.4 pts |
| 69 | Lucas County | 8.1 | 0 pts |
| 70 | Stark County | 8 | -2.4 pts |
| 71 | Defiance County | 7.8 | -2.6 pts |
| 72 | Jefferson County | 7.6 | +1.6 pts |
| 73 | Carroll County | 7.5 | -3.7 pts |
| 74 | Crawford County | 7.1 | -9.5 pts |
| 75 | Cuyahoga County | 6.8 | +1.8 pts |
| 76 | Lorain County | 6.4 | -0.3 pts |
| 77 | Summit County | 6.1 | -0.2 pts |
| 78 | Clark County | 5.9 | -6.6 pts |
| 79 | Columbiana County | 5.9 | 0 pts |
| 80 | Delaware County | 5.7 | -1.6 pts |
| 81 | Hamilton County | 5.5 | -0.6 pts |
| 82 | Butler County | 5.4 | -2.4 pts |
| 83 | Paulding County | 5.3 | -10.6 pts |
| 84 | Medina County | 5 | +0.5 pts |
| 85 | Union County | 4.8 | -6.8 pts |
| 86 | Highland County | 4.6 | -11.6 pts |
| 87 | Lake County | 3 | -2.6 pts |
| 88 | Putnam County | 0 | -8.7 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 Ohio 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 Ohio 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 Ohio 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 Ohio 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_ohio_by_2019,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in Ohio 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/ohio-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 Ohio 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/ohio-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/ohio-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 -
Use this data in your AI agent
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Rank Counties in Ohio by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"Ohio","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=Ohio&limit=10
Questions
Which county has the highest traffic fatality rate?
Monroe County, with 51.9 per 100,000 people in 2019, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Putnam 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.