Counties in Alabama by traffic fatality rate, 2024
Conecuh County had the highest traffic fatality rate of 67 counties in 2024, at 90 per 100,000 people. Shelby County had the lowest, at 5.1 per 100,000 people. The median was 26 per 100,000 people and the figure for Alabama was 18.6 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2024
- Under 15
- 15 to 20
- 20 to 26
- 26 to 29
- 29 to 44
- 44 and over
Top 40 counties, 2024
Full ranking
| Rank | Counties | 2024 | Change on 2023 |
|---|---|---|---|
| 1 | Conecuh County Estimated | 90 | +18.4 pts |
| 2 | Fayette County Estimated | 69.3 | +63.1 pts |
| 3 | Perry County Estimated | 64.8 | +0.4 pts |
| 4 | Coosa County Estimated | 58.3 | +9.6 pts |
| 5 | Cleburne County Estimated | 56.6 | +11.9 pts |
| 6 | Lowndes County Estimated | 52.7 | -19.6 pts |
| 7 | Sumter County Estimated | 51.7 | +17.6 pts |
| 8 | Choctaw County Estimated | 49.8 | +0.9 pts |
| 9 | Cherokee County Estimated | 45.9 | +7 pts |
| 10 | Marion County Estimated | 44.3 | +13.6 pts |
| 11 | Macon County Estimated | 44.1 | +11.4 pts |
| 12 | Butler County Estimated | 43.8 | +0.2 pts |
| 13 | Dallas County Estimated | 42.2 | -7.4 pts |
| 14 | Bullock County Estimated | 40.4 | -10.1 pts |
| 15 | Pickens County Estimated | 37.8 | +21.8 pts |
| 16 | Chilton County Estimated | 33.9 | +14.5 pts |
| 17 | Walker County Estimated | 33.7 | +16.7 pts |
| 18 | Talladega County Estimated | 33.2 | +7.3 pts |
| 19 | Lawrence County Estimated | 32.8 | -6 pts |
| 20 | Clarke County Estimated | 31.6 | -13.2 pts |
| 21 | Wilcox County Estimated | 30.4 | -20 pts |
| 22 | Lamar County Estimated | 29.5 | +22.2 pts |
| 23 | Winston County Estimated | 29.3 | -25.6 pts |
| 24 | Covington County Estimated | 29.1 | +10.7 pts |
| 25 | Barbour County Estimated | 28.7 | -15.9 pts |
| 26 | DeKalb County Estimated | 28.7 | +13.6 pts |
| 27 | Clay County Estimated | 28.1 | +28.1 pts |
| 28 | Greene County Estimated | 28.1 | -108.9 pts |
| 29 | Marengo County Estimated | 27 | -26.5 pts |
| 30 | Washington County Estimated | 26.6 | 0 pts |
| 31 | Blount County Estimated | 26.6 | -3.5 pts |
| 32 | Hale County Estimated | 26.5 | +6.4 pts |
| 33 | Jackson County Estimated | 26 | -5.8 pts |
| 34 | Randolph County Estimated | 26 | -4.7 pts |
| 35 | Geneva County Estimated | 25.7 | +3.5 pts |
| 36 | Escambia County Estimated | 24.6 | -0 pts |
| 37 | Pike County Estimated | 24.2 | -9 pts |
| 38 | Cullman County Estimated | 23.8 | -0.2 pts |
| 39 | Crenshaw County Estimated | 22.9 | -15.1 pts |
| 40 | Bibb County Estimated | 22.5 | -0.4 pts |
| 41 | Franklin County Estimated | 22 | +6.3 pts |
| 42 | Etowah County Estimated | 21.3 | +1.9 pts |
| 43 | Monroe County Estimated | 21 | -10.2 pts |
| 44 | Calhoun County Estimated | 20.6 | +3.4 pts |
| 45 | Colbert County Estimated | 20.4 | -7 pts |
| 46 | Morgan County Estimated | 19.8 | +8.7 pts |
| 47 | Lauderdale County Estimated | 19.5 | +7.1 pts |
| 48 | Montgomery County Estimated | 18.6 | +1.8 pts |
| 49 | St. Clair County Estimated | 18.6 | -2.4 pts |
| 50 | Limestone County Estimated | 18.5 | +2.8 pts |
| 51 | Mobile County Estimated | 17.9 | -3.7 pts |
| 52 | Chambers County Estimated | 17.7 | -35.1 pts |
| 53 | Tallapoosa County Estimated | 17.2 | -2.5 pts |
| 54 | Russell County Estimated | 17 | -8.5 pts |
| 55 | Jefferson County Estimated | 15.2 | -1.7 pts |
| 56 | Marshall County Estimated | 14.7 | -7.1 pts |
| 57 | Tuscaloosa County Estimated | 14.5 | +1.5 pts |
| 58 | Lee County Estimated | 13.8 | +0.3 pts |
| 59 | Autauga County Estimated | 13 | -5.2 pts |
| 60 | Dale County Estimated | 12 | -10.1 pts |
| 61 | Henry County Estimated | 11 | -5.8 pts |
| 62 | Houston County Estimated | 11 | -0.1 pts |
| 63 | Madison County Estimated | 10.4 | -1.9 pts |
| 64 | Baldwin County Estimated | 9.9 | +1.3 pts |
| 65 | Coffee County Estimated | 8.9 | -5.5 pts |
| 66 | Elmore County Estimated | 8.8 | +3.3 pts |
| 67 | Shelby County Estimated | 5.1 | -3.9 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 Alabama by traffic fatality rate, 2024) [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 Alabama by traffic fatality rate, 2024. 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 Alabama by traffic fatality rate, 2024. 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 Alabama by traffic fatality rate, 2024 [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_alabama_by_2024,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in Alabama by traffic fatality rate, 2024}},
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/alabama-counties. 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 Alabama by traffic fatality rate, 2024
PB - Invokely
DB - Invokely
UR - https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k
L2 - https://invokely.ai/rankings/traffic-fatality-rate/alabama-counties
Y2 - 2026/10/12
N1 - Calculated from data by NHTSA and BEA.
N1 - Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/alabama-counties.
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 Alabama by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"Alabama","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=Alabama&limit=10
Questions
Which county has the highest traffic fatality rate?
Conecuh County, with 90 per 100,000 people in 2024, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Shelby County, with 5.1 per 100,000 people in 2024.
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.