Counties in Missouri by traffic fatality rate
Reynolds County had the highest traffic fatality rate of 115 counties in 2019, at 129.4 per 100,000 people. Worth County had the lowest, at 0 per 100,000 people. The median was 18.9 per 100,000 people and the figure for Missouri was 14.3 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2019
- Under 8
- 8 to 13
- 13 to 19
- 19 to 24
- 24 to 36
- 36 and over
Top 40 counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Reynolds County | 129.4 | +113.2 pts |
| 2 | Shannon County | 84.5 | +29.2 pts |
| 3 | Carter County | 76.3 | +20.8 pts |
| 4 | Ozark County | 57.8 | +46.1 pts |
| 5 | Oregon County | 56.5 | +1.4 pts |
| 6 | Douglas County | 51.7 | -6.9 pts |
| 7 | Sullivan County | 49.8 | -31.4 pts |
| 8 | Gentry County | 48 | +32.1 pts |
| 9 | Carroll County | 46.6 | -34.6 pts |
| 10 | Holt County | 46 | +23 pts |
| 11 | St. Clair County | 43.8 | +21.9 pts |
| 12 | McDonald County | 43 | +8.7 pts |
| 13 | Putnam County | 42.8 | +42.8 pts |
| 14 | Scotland County | 41.9 | -20.7 pts |
| 15 | Dallas County | 41.5 | +29.5 pts |
| 16 | Grundy County | 40.3 | +30.4 pts |
| 17 | Crawford County | 38.8 | +30.3 pts |
| 18 | Ralls County | 38.6 | +28.9 pts |
| 19 | DeKalb County | 36.7 | -2.9 pts |
| 20 | Daviess County | 35.7 | -11.7 pts |
| 21 | Cooper County | 34.4 | -11.3 pts |
| 22 | Barton County | 34.2 | +34.2 pts |
| 23 | Miller County | 32.4 | +12 pts |
| 24 | Barry County | 31.9 | -5.8 pts |
| 25 | Dunklin County | 31.5 | +14.2 pts |
| 26 | Benton County | 31.1 | +20.7 pts |
| 27 | Franklin County | 30.7 | +5.7 pts |
| 28 | Clark County | 30.2 | -14.8 pts |
| 29 | Ray County | 30.1 | -13.1 pts |
| 30 | New Madrid County | 29.9 | +0.4 pts |
| 31 | Howard County | 29.6 | -9.8 pts |
| 32 | Lafayette County | 27.5 | -6.3 pts |
| 33 | Henry County | 27.5 | +22.9 pts |
| 34 | Wayne County | 26.7 | +18.1 pts |
| 35 | Knox County | 26.5 | +26.5 pts |
| 36 | Scott County | 26.2 | +8 pts |
| 37 | Montgomery County | 26.2 | +8.7 pts |
| 38 | Newton County | 25.6 | +1.7 pts |
| 39 | Marion County | 24.5 | +10.5 pts |
| 40 | Harrison County | 24.4 | +12.3 pts |
| 41 | Hickory County | 24.1 | -23.8 pts |
| 42 | Morgan County | 23.8 | -5.2 pts |
| 43 | Madison County | 23.8 | +0.1 pts |
| 44 | Maries County | 23.8 | +12 pts |
| 45 | Monroe County | 23.2 | 0 pts |
| 46 | Stone County | 22.7 | -0.1 pts |
| 47 | Callaway County | 22.6 | +6.9 pts |
| 48 | Phelps County | 22.4 | -2.3 pts |
| 49 | St. Francois County | 22.3 | +16.3 pts |
| 50 | Laclede County | 22.2 | -16.9 pts |
| 51 | Perry County | 21.1 | -15.6 pts |
| 52 | Lawrence County | 21 | -10.5 pts |
| 53 | Iron County | 20.8 | -10.1 pts |
| 54 | Dent County | 20.6 | -13.4 pts |
| 55 | Vernon County | 20 | -0 pts |
| 56 | St. Louis city | 19.8 | +2.4 pts |
| 57 | Pemiscot County | 18.9 | +6.6 pts |
| 58 | Atchison County | 18.9 | +0.1 pts |
| 59 | Butler County | 18.9 | +7.1 pts |
| 60 | Bates County | 18.7 | -6 pts |
| 61 | Lincoln County | 18.7 | +4.8 pts |
| 62 | Bollinger County | 18.7 | +0.3 pts |
| 63 | Cole County | 18 | +12.9 pts |
| 64 | Stoddard County | 17.4 | +0.1 pts |
| 65 | Warren County | 17.2 | +14.2 pts |
| 66 | Linn County | 16.8 | -8.2 pts |
| 67 | Ste. Genevieve County | 16.2 | -11 pts |
| 68 | Randolph County | 16 | -8.1 pts |
| 69 | Jefferson County | 15.9 | +3.5 pts |
| 70 | Mississippi County | 15.4 | -15 pts |
| 71 | Webster County | 15.4 | +2.4 pts |
| 72 | Osage County | 15 | +0.1 pts |
| 73 | Cedar County | 14.1 | -21.6 pts |
| 74 | Camden County | 14 | -23.3 pts |
| 75 | Pettis County | 14 | -14 pts |
| 76 | Chariton County | 13.4 | -0 pts |
| 77 | Dade County | 13.2 | 0 pts |
| 78 | Jackson County | 13 | +0.5 pts |
| 79 | Jasper County | 12.3 | -3.4 pts |
| 80 | Cass County | 12.2 | -5.8 pts |
| 81 | Texas County | 12.1 | -7.9 pts |
| 82 | Greene County | 12.1 | +1.6 pts |
| 83 | Johnson County | 11.1 | -7.6 pts |
| 84 | Taney County | 10.7 | -21.6 pts |
| 85 | Howell County | 10.1 | -20.1 pts |
| 86 | Cape Girardeau County | 9.9 | +4.9 pts |
| 87 | Clinton County | 9.5 | -9.6 pts |
| 88 | Ripley County | 9.2 | +0.3 pts |
| 89 | Christian County | 9.1 | -4.8 pts |
| 90 | Boone County | 8.8 | -1.2 pts |
| 91 | Saline County | 8.6 | 0 pts |
| 92 | Washington County | 8.4 | -24.9 pts |
| 93 | Clay County | 8.4 | -2.6 pts |
| 94 | Buchanan County | 8.2 | -4.5 pts |
| 95 | St. Louis County | 7.7 | -0 pts |
| 96 | Platte County | 7.6 | -1.1 pts |
| 97 | Pulaski County | 7.4 | -3.9 pts |
| 98 | Gasconade County | 6.7 | -20.2 pts |
| 99 | Livingston County | 6.7 | -19.7 pts |
| 100 | Macon County | 6.6 | -26.2 pts |
| 101 | Polk County | 6.4 | -25.4 pts |
| 102 | St. Charles County | 6.2 | -4.1 pts |
| 103 | Pike County | 5.7 | -5.2 pts |
| 104 | Andrew County | 5.5 | -33.2 pts |
| 105 | Wright County | 5.5 | -0 pts |
| 106 | Nodaway County | 4.6 | -9.1 pts |
| 107 | Audrain County | 4 | -23.5 pts |
| 108 | Adair County | 3.9 | -3.9 pts |
| 109 | Caldwell County | 0 | -11.3 pts |
| 109 | Lewis County | 0 | 0 pts |
| 109 | Mercer County | 0 | -27.8 pts |
| 109 | Moniteau County | 0 | -12.5 pts |
| 109 | Schuyler County | 0 | 0 pts |
| 109 | Shelby County | 0 | 0 pts |
| 109 | Worth County | 0 | -49.5 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 Missouri 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 Missouri 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 Missouri 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 Missouri 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_missouri_by_2019,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in Missouri 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/missouri-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 Missouri 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/missouri-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/missouri-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 Missouri by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"Missouri","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=Missouri&limit=10
Questions
Which county has the highest traffic fatality rate?
Reynolds County, with 129.4 per 100,000 people in 2019, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Worth 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 Missouri: more rankings
- Uninsured rate, under 19 (US model-based estimate)
- Adult obesity rate, local model estimate
- Uninsured rate, under 65 (US model-based estimate)
- Coronary heart disease in adults, local model estimate
- School enrolment, children aged 3 and 4
- Child poverty rate, under 18 (US official measure)
- Personal income
- Natural change, July to June