Counties in Vermont by traffic fatality rate, 2024
Grand Isle County had the highest traffic fatality rate of 14 counties in 2024, at 26.6 per 100,000 people. Lamoille County had the lowest, at 0 per 100,000 people. The median was 10.9 per 100,000 people and the figure for Vermont was 9.1 per 100,000 people. Source: NHTSA and BEA.
All counties, 2024
Full ranking
| Rank | Counties | 2024 | Change on 2023 |
|---|---|---|---|
| 1 | Grand Isle County Estimated | 26.6 | +26.6 pts |
| 2 | Franklin County Estimated | 15.7 | -0 pts |
| 3 | Washington County Estimated | 13.4 | +6.7 pts |
| 4 | Orange County Estimated | 13.3 | +6.6 pts |
| 5 | Addison County Estimated | 13.1 | +5.2 pts |
| 6 | Caledonia County Estimated | 13.1 | +3.3 pts |
| 7 | Windham County Estimated | 11 | -6.4 pts |
| 8 | Bennington County Estimated | 10.8 | 0 pts |
| 9 | Rutland County Estimated | 10 | -11.6 pts |
| 10 | Chittenden County Estimated | 5.3 | +0.6 pts |
| 11 | Windsor County Estimated | 5.2 | -3.4 pts |
| 12 | Orleans County Estimated | 3.6 | -25.3 pts |
| 13 | Essex County Estimated | 0 | -16.7 pts |
| 13 | Lamoille County Estimated | 0 | -7.6 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 Vermont 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 Vermont 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 Vermont 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 Vermont 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_vermont_by_2024,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in Vermont 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/vermont-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 Vermont 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/vermont-counties
Y2 - 2026/10/12
N1 - Calculated from data by NHTSA and BEA.
N1 - Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/vermont-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 Vermont by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"Vermont","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=Vermont&limit=10
Questions
Which county has the highest traffic fatality rate?
Grand Isle County, with 26.6 per 100,000 people in 2024, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Lamoille County, with 0 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 Vermont: more rankings
- Coronary heart disease in adults, county model estimate
- High cholesterol in screened adults, county model estimate
- Uninsured rate, ages 18 to 64 (US model-based estimate)
- Uninsured rate, under 65 (US model-based estimate)
- Female population share
- Median age on 1 July (US county estimates)
- Population aged 18 to 64
- Asian population share