Counties in Alabama by traffic fatality rate
Greene County had the highest traffic fatality rate of 67 counties in 2015, at 95.8 per 100,000 people. Madison County had the lowest, at 6.7 per 100,000 people. The median was 22.1 per 100,000 people and the figure for Alabama was 17.3 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2015
- Under 12
- 12 to 16
- 16 to 22
- 22 to 26
- 26 to 34
- 34 and over
Top 40 counties, 2015
Full ranking
| Rank | Counties | 2015 | Change on 2014 |
|---|---|---|---|
| 1 | Greene County | 95.8 | +1.2 pts |
| 2 | Sumter County | 67.9 | +30.3 pts |
| 3 | Bullock County | 56.8 | +10.5 pts |
| 4 | Wilcox County | 54.1 | -17.9 pts |
| 5 | Escambia County | 52.8 | +21.1 pts |
| 6 | Conecuh County | 48 | -15.8 pts |
| 7 | Pike County | 47.7 | +32.7 pts |
| 8 | Cleburne County | 40.1 | +20.2 pts |
| 9 | Chilton County | 38.6 | +2.3 pts |
| 10 | Cherokee County | 36 | +4.4 pts |
| 11 | Butler County | 35.1 | -14.5 pts |
| 12 | Jackson County | 34.1 | +17.2 pts |
| 13 | Winston County | 33.4 | +29.3 pts |
| 14 | Perry County | 31.5 | +10.9 pts |
| 15 | Marion County | 30.1 | +16.8 pts |
| 16 | Cullman County | 29.9 | +6.9 pts |
| 17 | Macon County | 29.8 | -29.2 pts |
| 18 | Pickens County | 29.4 | +9.4 pts |
| 19 | Russell County | 28.6 | +5.1 pts |
| 20 | Lamar County | 28.5 | +21.4 pts |
| 21 | Monroe County | 28.1 | +0.4 pts |
| 22 | Coosa County | 27.8 | -63.8 pts |
| 23 | Barbour County | 26.3 | +11.5 pts |
| 24 | Geneva County | 26.1 | +11.2 pts |
| 25 | Chambers County | 25.8 | +20 pts |
| 26 | Walker County | 25.7 | +7.6 pts |
| 27 | Colbert County | 25.3 | +7.2 pts |
| 28 | Washington County | 24.3 | -5.9 pts |
| 29 | Lawrence County | 24.1 | -8.7 pts |
| 30 | Limestone County | 23.7 | +9.5 pts |
| 31 | Talladega County | 23.1 | +4.9 pts |
| 32 | Choctaw County | 22.5 | +0.1 pts |
| 33 | Bibb County | 22.1 | -8.9 pts |
| 34 | Crenshaw County | 22.1 | +0.1 pts |
| 35 | St. Clair County | 21.9 | +8 pts |
| 36 | Elmore County | 21.4 | -6.3 pts |
| 37 | Coffee County | 19.5 | +3.8 pts |
| 38 | Tuscaloosa County | 19.2 | +1.1 pts |
| 39 | Dallas County | 19 | -6.9 pts |
| 40 | Lowndes County | 18.7 | -27.7 pts |
| 41 | Lauderdale County | 18.3 | +6.5 pts |
| 42 | Mobile County | 17.3 | -1 pts |
| 43 | Tallapoosa County | 17 | +7.3 pts |
| 44 | DeKalb County | 16.9 | -2.8 pts |
| 45 | Clarke County | 16.3 | -20.1 pts |
| 46 | Dale County | 16.1 | +4 pts |
| 47 | Covington County | 15.8 | -23.6 pts |
| 48 | Franklin County | 15.7 | -9.4 pts |
| 49 | Baldwin County | 15.6 | +2.2 pts |
| 50 | Montgomery County | 14.4 | +1.7 pts |
| 51 | Autauga County | 14.2 | -3.6 pts |
| 52 | Marshall County | 13.7 | -1.1 pts |
| 53 | Etowah County | 13.5 | -0.9 pts |
| 54 | Hale County | 13.3 | -19.9 pts |
| 55 | Calhoun County | 12.8 | +1.7 pts |
| 56 | Fayette County | 11.9 | -11.8 pts |
| 57 | Jefferson County | 11.9 | +0.4 pts |
| 58 | Henry County | 11.7 | -0 pts |
| 59 | Houston County | 11.5 | -6.7 pts |
| 60 | Marengo County | 10 | -34.5 pts |
| 61 | Randolph County | 9 | -22.8 pts |
| 62 | Shelby County | 9 | -0.6 pts |
| 63 | Blount County | 8.6 | -1.7 pts |
| 64 | Morgan County | 8.3 | -0.8 pts |
| 65 | Lee County | 7.4 | -4.6 pts |
| 66 | Clay County | 7.2 | -0 pts |
| 67 | Madison County | 6.7 | -2.6 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, 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 Alabama 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 Alabama 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 Alabama 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_alabama_by_2015,
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, 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/alabama-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 Alabama 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/alabama-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/alabama-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
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?
Greene County, with 95.8 per 100,000 people in 2015, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Madison County, with 6.7 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.