Counties in Wyoming by traffic fatality rate
Carbon County had the highest traffic fatality rate of 23 counties in 2017, at 79.5 per 100,000 people. Niobrara County had the lowest, at 0 per 100,000 people. The median was 20.3 per 100,000 people and the figure for Wyoming was 21.3 per 100,000 people. Source: NHTSA and BEA.
All counties, 2017
Full ranking
| Rank | Counties | 2017 | Change on 2016 |
|---|---|---|---|
| 1 | Carbon County | 79.5 | +34.6 pts |
| 2 | Platte County | 58.2 | -22.2 pts |
| 3 | Big Horn County | 42.4 | +34 pts |
| 4 | Crook County | 42.3 | +28.5 pts |
| 5 | Fremont County | 40.3 | +7.9 pts |
| 6 | Converse County | 29.2 | +15 pts |
| 7 | Sweetwater County | 27.7 | +5 pts |
| 8 | Lincoln County | 26.5 | -0.2 pts |
| 9 | Uinta County | 24.2 | -9.3 pts |
| 10 | Natrona County | 22.7 | +15.3 pts |
| 11 | Hot Springs County | 20.7 | -0.2 pts |
| 12 | Park County | 20.3 | +3.4 pts |
| 13 | Albany County | 16.1 | -5.6 pts |
| 14 | Goshen County | 15.6 | +15.6 pts |
| 15 | Weston County | 14.2 | -40.7 pts |
| 16 | Teton County | 12.9 | +4.3 pts |
| 17 | Washakie County | 12.6 | +0.3 pts |
| 18 | Sublette County | 11.2 | +11.2 pts |
| 19 | Laramie County | 11.2 | -4.1 pts |
| 20 | Campbell County | 10.7 | +6.6 pts |
| 21 | Sheridan County | 3.3 | -20 pts |
| 22 | Johnson County | 0 | -59.5 pts |
| 22 | Niobrara County | 0 | -116.2 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 Wyoming by traffic fatality rate, 2017) [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 Wyoming by traffic fatality rate, 2017. 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 Wyoming by traffic fatality rate, 2017. 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 Wyoming by traffic fatality rate, 2017 [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_wyoming_by_2017,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in Wyoming by traffic fatality rate, 2017}},
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/wyoming-counties?period=2017. 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 Wyoming by traffic fatality rate, 2017
PB - Invokely
DB - Invokely
UR - https://invokely.ai/docs/methodology#traffic_fatality_rate_per_100k
L2 - https://invokely.ai/rankings/traffic-fatality-rate/wyoming-counties?period=2017
Y2 - 2026/10/12
N1 - Calculated from data by NHTSA and BEA.
N1 - Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/wyoming-counties?period=2017.
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 Wyoming by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"Wyoming","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=Wyoming&limit=10
Questions
Which county has the highest traffic fatality rate?
Carbon County, with 79.5 per 100,000 people in 2017, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Niobrara County, with 0 per 100,000 people in 2017.
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 Wyoming: more rankings
- COPD in adults, local model estimate
- Physical inactivity in adults, local model estimate
- Uninsured rate, 65 and over (US, ACS)
- High blood pressure in adults, local model estimate
- White (non-Hispanic) population share
- Black or African American population share
- Median household income
- Live births, July to June