Counties in Arizona by traffic fatality rate, 2024
La Paz County had the highest traffic fatality rate of 15 counties in 2024, at 170.7 per 100,000 people. Greenlee County had the lowest, at 10.6 per 100,000 people. The median was 21.2 per 100,000 people and the figure for Arizona was 16.3 per 100,000 people. Source: NHTSA and BEA.
All counties, 2024
Full ranking
| Rank | Counties | 2024 | Change on 2023 |
|---|---|---|---|
| 1 | La Paz County Estimated | 170.7 | +39.8 pts |
| 2 | Apache County Estimated | 44.8 | +9.4 pts |
| 3 | Coconino County Estimated | 44.1 | +5.5 pts |
| 4 | Graham County Estimated | 37.3 | +9.5 pts |
| 5 | Navajo County Estimated | 32 | -5.6 pts |
| 6 | Cochise County Estimated | 27 | +3 pts |
| 7 | Yavapai County Estimated | 24.6 | +5.8 pts |
| 8 | Mohave County Estimated | 21.2 | -12.3 pts |
| 9 | Pinal County Estimated | 17.7 | +1.5 pts |
| 10 | Pima County Estimated | 16.9 | -0.6 pts |
| 11 | Gila County Estimated | 16.6 | -14.8 pts |
| 12 | Santa Cruz County Estimated | 13.9 | -4.3 pts |
| 13 | Maricopa County Estimated | 12.8 | -2 pts |
| 14 | Yuma County Estimated | 10.9 | -2.1 pts |
| 15 | Greenlee County Estimated | 10.6 | -21.3 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 Arizona 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 Arizona 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 Arizona 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 Arizona 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_arizona_by_2024,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in Arizona 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/arizona-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 Arizona 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/arizona-counties
Y2 - 2026/10/12
N1 - Calculated from data by NHTSA and BEA.
N1 - Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/arizona-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
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 Arizona by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"Arizona","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=Arizona&limit=10
Questions
Which county has the highest traffic fatality rate?
La Paz County, with 170.7 per 100,000 people in 2024, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Greenlee County, with 10.6 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.
Traffic fatality rate: other rankings
Counties in Arizona: more rankings
- Adult obesity rate, local model estimate
- Diagnosed diabetes in adults, local model estimate
- Binge drinking in adults, local model estimate
- Uninsured rate, all ages (US)
- High school graduate or higher, population 25 and over
- Median age
- Poverty rate (US five-year survey estimate)
- Hispanic or Latino population share