Counties in Alabama by traffic fatality rate
Lowndes County had the highest traffic fatality rate of 67 counties in 2022, at 112.5 per 100,000 people. Barbour County had the lowest, at 4 per 100,000 people. The median was 22.3 per 100,000 people and the figure for Alabama was 19.5 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2022
- Under 13
- 13 to 18
- 18 to 22
- 22 to 27
- 27 to 36
- 36 and over
Top 40 counties, 2022
Full ranking
| Rank | Counties | 2022 | Change on 2021 |
|---|---|---|---|
| 1 | Lowndes County | 112.5 | -8.3 pts |
| 2 | Greene County | 94.4 | +2.1 pts |
| 3 | Choctaw County | 72.5 | +24.6 pts |
| 4 | Butler County | 69.7 | -36.4 pts |
| 5 | Bullock County | 69.1 | 0 pts |
| 6 | Cleburne County | 52.1 | -7.3 pts |
| 7 | Dallas County | 51.7 | +25 pts |
| 8 | Cherokee County | 47.4 | +27.4 pts |
| 9 | Monroe County | 41.2 | +25.9 pts |
| 10 | Coosa County | 38.9 | +19.5 pts |
| 11 | Lawrence County | 36.2 | -12.2 pts |
| 12 | Conecuh County | 35.7 | +0.3 pts |
| 13 | Escambia County | 35.5 | +19.1 pts |
| 14 | Cullman County | 35.3 | +14.1 pts |
| 15 | DeKalb County | 33.3 | +9.7 pts |
| 16 | Washington County | 33.1 | +26.5 pts |
| 17 | Jackson County | 30.3 | +9.4 pts |
| 18 | Geneva County | 29.9 | -0.2 pts |
| 19 | Limestone County | 29.8 | +8.3 pts |
| 20 | Wilcox County | 29.6 | -18.4 pts |
| 21 | Lamar County | 29.4 | +0.2 pts |
| 22 | Montgomery County | 29.1 | +10.2 pts |
| 23 | Coffee County | 27.4 | -4 pts |
| 24 | Pike County | 27.3 | -3.3 pts |
| 25 | Marshall County | 27.1 | +2.7 pts |
| 26 | Macon County | 26.9 | -25.9 pts |
| 27 | St. Clair County | 26.6 | +6.2 pts |
| 28 | Chilton County | 26.2 | -7 pts |
| 29 | Perry County | 25.3 | +1.3 pts |
| 30 | Walker County | 24.8 | -13.9 pts |
| 31 | Colbert County | 24.1 | +12 pts |
| 32 | Russell County | 23.9 | -10.2 pts |
| 33 | Etowah County | 23.3 | +9.7 pts |
| 34 | Randolph County | 22.3 | +8.7 pts |
| 35 | Clarke County | 22.2 | +4.6 pts |
| 36 | Covington County | 21.3 | +5.3 pts |
| 37 | Pickens County | 21.3 | -0.2 pts |
| 38 | Marengo County | 21.3 | -20.9 pts |
| 39 | Clay County | 21.1 | +7 pts |
| 40 | Chambers County | 20.5 | -5.6 pts |
| 41 | Blount County | 20.2 | +6.6 pts |
| 42 | Tallapoosa County | 19.6 | +9.8 pts |
| 43 | Franklin County | 18.8 | +9.4 pts |
| 44 | Fayette County | 18.7 | -12.3 pts |
| 45 | Tuscaloosa County | 18.5 | -1.8 pts |
| 46 | Mobile County | 17.7 | -1.4 pts |
| 47 | Sumter County | 16.8 | -100.2 pts |
| 48 | Elmore County | 16.7 | +2.1 pts |
| 49 | Autauga County | 16.7 | -6.9 pts |
| 50 | Talladega County | 16.1 | -14.9 pts |
| 51 | Morgan County | 16.1 | +1.5 pts |
| 52 | Houston County | 15.7 | -0.1 pts |
| 53 | Calhoun County | 15.6 | -0.9 pts |
| 54 | Jefferson County | 14.7 | -1.4 pts |
| 55 | Marion County | 13.7 | -0.1 pts |
| 56 | Baldwin County | 13.4 | +2.5 pts |
| 57 | Henry County | 11.3 | -0.1 pts |
| 58 | Dale County | 10.1 | -10.2 pts |
| 59 | Lee County | 9.4 | -1.3 pts |
| 60 | Lauderdale County | 9.4 | -1.2 pts |
| 61 | Madison County | 9.2 | -4 pts |
| 62 | Bibb County | 9.1 | -17.8 pts |
| 63 | Winston County | 8.4 | -25.4 pts |
| 64 | Shelby County | 7.8 | +0.8 pts |
| 65 | Crenshaw County | 7.6 | -30.6 pts |
| 66 | Hale County | 6.8 | -27.1 pts |
| 67 | Barbour County | 4 | -28.6 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, 2022) [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, 2022. 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, 2022. 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, 2022 [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_2022,
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, 2022}},
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?period=2022. 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, 2022
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?period=2022
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?period=2022.
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
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
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?
Lowndes County, with 112.5 per 100,000 people in 2022, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Barbour County, with 4 per 100,000 people in 2022.
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.