Counties in Vermont by traffic fatality rate
Essex County had the highest traffic fatality rate of 14 counties in 2015, at 32.9 per 100,000 people. Grand Isle County had the lowest, at 0 per 100,000 people. The median was 7.9 per 100,000 people and the figure for Vermont was 9 per 100,000 people. Source: NHTSA and BEA.
All counties, 2015
Full ranking
| Rank | Counties | 2015 | Change on 2014 |
|---|---|---|---|
| 1 | Essex County | 32.9 | -0.1 pts |
| 2 | Franklin County | 20.3 | +16.3 pts |
| 3 | Rutland County | 16.4 | +5 pts |
| 4 | Caledonia County | 12.9 | +9.7 pts |
| 5 | Windsor County | 8.8 | +3.5 pts |
| 6 | Addison County | 8.1 | +5.4 pts |
| 7 | Bennington County | 8.1 | -2.7 pts |
| 8 | Lamoille County | 7.8 | -0.1 pts |
| 9 | Orleans County | 7.3 | -3.7 pts |
| 10 | Orange County | 6.9 | -6.9 pts |
| 11 | Windham County | 6.6 | +4.4 pts |
| 12 | Chittenden County | 5.5 | -0.1 pts |
| 13 | Washington County | 3.4 | -3.3 pts |
| 14 | Grand Isle County | 0 | -14.3 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 Vermont 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 Vermont 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 Vermont 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 Vermont 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_vermont_by_2015,
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, 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/vermont-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 Vermont 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/vermont-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/vermont-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 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=10Questions
Which county has the highest traffic fatality rate?
Essex County, with 32.9 per 100,000 people in 2015, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Grand Isle County, with 0 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.
Traffic fatality rate: other rankings
Counties in Vermont: more rankings
- Coronary heart disease in adults, local model estimate
- High cholesterol in screened adults, local model estimate
- Uninsured rate, ages 18 to 64 (US model-based estimate)
- Uninsured rate, 65 and over (US, ACS)
- Per capita income (US five-year survey estimate)
- Female population share
- Median age on 1 July (US county estimates)
- Population aged 18 to 64