Counties in California by traffic fatality rate, 2024
Alpine County had the highest traffic fatality rate of 58 counties in 2024, at 91 per 100,000 people. San Mateo County had the lowest, at 4 per 100,000 people. The median was 15.6 per 100,000 people and the figure for California was 9.8 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2024
- Under 7.4
- 7.4 to 9.7
- 9.7 to 16
- 16 to 18
- 18 to 28
- 28 and over
All counties, 2024
Full ranking
| Rank | Counties | 2024 | Change on 2023 |
|---|---|---|---|
| 1 | Alpine County Estimated | 91 | +91 pts |
| 2 | Inyo County Estimated | 81.1 | +43.4 pts |
| 3 | Modoc County Estimated | 47.1 | +23.8 pts |
| 4 | Mono County Estimated | 46.2 | +38.6 pts |
| 5 | Trinity County Estimated | 38.4 | -12.6 pts |
| 6 | Lake County Estimated | 36.9 | +8.9 pts |
| 7 | Colusa County Estimated | 36.2 | +13.6 pts |
| 8 | Sierra County Estimated | 32.1 | +0.7 pts |
| 9 | Glenn County Estimated | 28.3 | -17.9 pts |
| 10 | Siskiyou County Estimated | 28.2 | -13.7 pts |
| 11 | Calaveras County Estimated | 28 | -2.1 pts |
| 12 | Del Norte County Estimated | 22.2 | +3.4 pts |
| 13 | Kern County Estimated | 21 | +1.1 pts |
| 14 | Tuolumne County Estimated | 20.4 | -14.7 pts |
| 15 | Sutter County Estimated | 20.3 | -3.1 pts |
| 16 | Tehama County Estimated | 20.2 | -1.4 pts |
| 17 | Madera County Estimated | 19.9 | +2.8 pts |
| 18 | Humboldt County Estimated | 19.6 | +0.2 pts |
| 19 | Kings County Estimated | 19.4 | -5.4 pts |
| 20 | Shasta County Estimated | 18.2 | +6 pts |
| 21 | San Joaquin County Estimated | 17 | +0.3 pts |
| 22 | Amador County Estimated | 16.7 | -9.7 pts |
| 23 | Fresno County Estimated | 16.5 | +1.6 pts |
| 24 | Butte County Estimated | 16.3 | -0.6 pts |
| 25 | Yuba County Estimated | 16 | -8.5 pts |
| 26 | San Benito County Estimated | 15.9 | +5.7 pts |
| 27 | San Bernardino County Estimated | 15.8 | -1.7 pts |
| 28 | Stanislaus County Estimated | 15.8 | -0.3 pts |
| 29 | Mendocino County Estimated | 15.7 | -8.9 pts |
| 30 | Merced County Estimated | 15.5 | -4.5 pts |
| 31 | Tulare County Estimated | 14.9 | -2.2 pts |
| 32 | Imperial County Estimated | 14.3 | +4.9 pts |
| 33 | Mariposa County Estimated | 11.7 | -5.9 pts |
| 34 | Riverside County Estimated | 11.4 | -2 pts |
| 35 | San Luis Obispo County Estimated | 10.6 | +3.6 pts |
| 36 | Plumas County Estimated | 10.6 | +10.6 pts |
| 37 | Lassen County Estimated | 10.6 | -13.7 pts |
| 38 | Monterey County Estimated | 10.3 | +1.4 pts |
| 39 | Sacramento County Estimated | 9.7 | -3.4 pts |
| 40 | Yolo County Estimated | 9.3 | -1.4 pts |
| 41 | Placer County Estimated | 9.2 | -0.9 pts |
| 42 | San Diego County Estimated | 9.2 | +0.4 pts |
| 43 | Solano County Estimated | 9 | -0.7 pts |
| 44 | El Dorado County Estimated | 8.8 | -0.5 pts |
| 45 | Santa Barbara County Estimated | 8.5 | -0.5 pts |
| 46 | Napa County Estimated | 8.3 | -5.2 pts |
| 47 | Los Angeles County Estimated | 8 | -0.7 pts |
| 48 | Nevada County Estimated | 7.8 | -5.9 pts |
| 49 | Ventura County Estimated | 6.9 | -1.7 pts |
| 50 | Orange County Estimated | 6.3 | -1 pts |
| 51 | Santa Cruz County Estimated | 6.1 | -3.4 pts |
| 52 | Alameda County Estimated | 6.1 | 0 pts |
| 53 | Sonoma County Estimated | 6 | -0 pts |
| 54 | San Francisco County Estimated | 5.8 | +1.5 pts |
| 55 | Contra Costa County Estimated | 5.6 | -2.8 pts |
| 56 | Santa Clara County Estimated | 5.2 | -1.4 pts |
| 57 | Marin County Estimated | 4.3 | -0.8 pts |
| 58 | San Mateo County Estimated | 4 | -1.1 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 California 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 California 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 California 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 California 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_california_by_2024,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in California 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/california-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 California 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/california-counties
Y2 - 2026/10/12
N1 - Calculated from data by NHTSA and BEA.
N1 - Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/california-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 California by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"California","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=California&limit=10
Questions
Which county has the highest traffic fatality rate?
Alpine County, with 91 per 100,000 people in 2024, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
San Mateo County, with 4 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 California: more rankings
- Current asthma in adults, local model estimate
- Uninsured rate, ages 35 to 64 (US, ACS)
- High blood pressure in adults, local model estimate
- High cholesterol in screened adults, local model estimate
- Per capita personal income
- Poverty rate (US official measure)
- Residents who moved from another state in the past year
- Net international migration rate, July to June