Counties in Maine by traffic fatality rate
Oxford County had the highest traffic fatality rate of 16 counties in 2019, at 29.5 per 100,000 people. Sagadahoc County had the lowest, at 2.7 per 100,000 people. The median was 10.6 per 100,000 people and the figure for Maine was 11.6 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2019
- Under 6
- 6 to 8.9
- 8.9 to 12
- 12 to 18
- 18 and over
All counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Oxford County | 29.5 | +8.6 pts |
| 2 | Hancock County | 25.3 | +12.6 pts |
| 3 | Washington County | 19.4 | +6.4 pts |
| 4 | Somerset County | 17.8 | +1.9 pts |
| 5 | Lincoln County | 17.1 | +2.7 pts |
| 6 | Penobscot County | 17.1 | +9.8 pts |
| 7 | Androscoggin County | 11.7 | +7.2 pts |
| 8 | Kennebec County | 11.4 | +3.2 pts |
| 9 | Knox County | 9.9 | +7.4 pts |
| 10 | Aroostook County | 8.9 | -4.4 pts |
| 11 | Cumberland County | 7.3 | -0.1 pts |
| 12 | York County | 7.1 | -3.4 pts |
| 13 | Piscataquis County | 6 | -12.1 pts |
| 14 | Waldo County | 5.1 | -17.7 pts |
| 15 | Franklin County | 3.4 | -13.6 pts |
| 16 | Sagadahoc County | 2.7 | -5.5 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 Maine by traffic fatality rate, 2019) [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 Maine by traffic fatality rate, 2019. 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 Maine by traffic fatality rate, 2019. 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 Maine by traffic fatality rate, 2019 [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_maine_by_2019,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in Maine by traffic fatality rate, 2019}},
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/maine-counties?period=2019. 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 Maine by traffic fatality rate, 2019
PB - Invokely
DB - Invokely
UR - https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k
L2 - https://invokely.ai/rankings/traffic-fatality-rate/maine-counties?period=2019
Y2 - 2026/10/12
N1 - Calculated from data by NHTSA and BEA.
N1 - Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/maine-counties?period=2019.
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 Maine by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"Maine","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=Maine&limit=10Questions
Which county has the highest traffic fatality rate?
Oxford County, with 29.5 per 100,000 people in 2019, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Sagadahoc County, with 2.7 per 100,000 people in 2019.
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.