Counties in West Virginia by traffic fatality rate, 2024
Summers County had the highest traffic fatality rate of 55 counties in 2024, at 52 per 100,000 people. Wirt County had the lowest, at 0 per 100,000 people. The median was 14.1 per 100,000 people and the figure for West Virginia was 14.5 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2024
- Under 5.6
- 5.6 to 9.4
- 9.4 to 14
- 14 to 17
- 17 to 21
- 21 and over
All counties, 2024
Full ranking
| Rank | Counties | 2024 | Change on 2023 |
|---|---|---|---|
| 1 | Summers County Estimated | 52 | +17.4 pts |
| 2 | Ritchie County Estimated | 49 | +0.1 pts |
| 3 | Hardy County Estimated | 41.9 | +6.9 pts |
| 4 | Calhoun County Estimated | 34.1 | +17.2 pts |
| 5 | Pendleton County Estimated | 33.6 | +17 pts |
| 6 | Raleigh County Estimated | 31.8 | +15.2 pts |
| 7 | Pocahontas County Estimated | 26.1 | -12.6 pts |
| 8 | Tyler County Estimated | 25.5 | +12.8 pts |
| 9 | Nicholas County Estimated | 25 | -4.1 pts |
| 10 | Hampshire County Estimated | 21 | -29.8 pts |
| 11 | Lincoln County Estimated | 20.6 | +5.4 pts |
| 12 | Marshall County Estimated | 20.4 | +20.4 pts |
| 13 | Greenbrier County Estimated | 18.8 | -3 pts |
| 14 | Mingo County Estimated | 18.4 | +4.8 pts |
| 15 | Jefferson County Estimated | 18 | +9.6 pts |
| 16 | McDowell County Estimated | 17.5 | +11.8 pts |
| 17 | Ohio County Estimated | 17 | +12.2 pts |
| 18 | Wood County Estimated | 16.9 | +6.1 pts |
| 19 | Braxton County Estimated | 16.6 | +16.6 pts |
| 20 | Logan County Estimated | 16.4 | -9.5 pts |
| 21 | Kanawha County Estimated | 16.1 | +1.2 pts |
| 22 | Berkeley County Estimated | 15.4 | +8.6 pts |
| 23 | Wyoming County Estimated | 15 | -4.7 pts |
| 24 | Mineral County Estimated | 14.9 | -7.4 pts |
| 25 | Roane County Estimated | 14.8 | +0.1 pts |
| 26 | Randolph County Estimated | 14.7 | +11.1 pts |
| 27 | Wetzel County Estimated | 14.5 | +0.2 pts |
| 28 | Gilmer County Estimated | 14.1 | +0.2 pts |
| 29 | Monongalia County Estimated | 13.8 | +3.6 pts |
| 30 | Wayne County Estimated | 13.3 | -10.5 pts |
| 31 | Barbour County Estimated | 13 | +13 pts |
| 32 | Taylor County Estimated | 12.2 | -24.5 pts |
| 33 | Mason County Estimated | 12.1 | -12.1 pts |
| 34 | Harrison County Estimated | 10.9 | 0 pts |
| 35 | Mercer County Estimated | 10.4 | -5.1 pts |
| 36 | Boone County Estimated | 9.8 | -24.2 pts |
| 37 | Brooke County Estimated | 9.4 | -9.3 pts |
| 38 | Grant County Estimated | 9.1 | -18.2 pts |
| 39 | Upshur County Estimated | 8.5 | -4.3 pts |
| 40 | Monroe County Estimated | 8 | -24.3 pts |
| 41 | Cabell County Estimated | 7.7 | -9.7 pts |
| 42 | Jackson County Estimated | 7.2 | -10.9 pts |
| 43 | Hancock County Estimated | 7.1 | 0 pts |
| 44 | Putnam County Estimated | 7 | +1.7 pts |
| 45 | Preston County Estimated | 5.9 | -2.9 pts |
| 46 | Morgan County Estimated | 5.6 | -11.4 pts |
| 47 | Marion County Estimated | 5.4 | -3.6 pts |
| 48 | Fayette County Estimated | 5.2 | -12.7 pts |
| 49 | Clay County Estimated | 0 | -12.9 pts |
| 49 | Doddridge County Estimated | 0 | -39 pts |
| 49 | Lewis County Estimated | 0 | -18.1 pts |
| 49 | Pleasants County Estimated | 0 | 0 pts |
| 49 | Tucker County Estimated | 0 | 0 pts |
| 49 | Webster County Estimated | 0 | -12.5 pts |
| 49 | Wirt County Estimated | 0 | 0 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 West Virginia 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 West Virginia 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 West Virginia 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 West Virginia 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_west_virginia_2024,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in West Virginia 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/west-virginia-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 West Virginia 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/west-virginia-counties
Y2 - 2026/10/12
N1 - Calculated from data by NHTSA and BEA.
N1 - Accessed via Invokely, https://invokely.ai/rankings/traffic-fatality-rate/west-virginia-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 West Virginia by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"West Virginia","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=West%20Virginia&limit=10
Questions
Which county has the highest traffic fatality rate?
Summers County, with 52 per 100,000 people in 2024, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Wirt 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 West Virginia: more rankings
- COPD in adults, local model estimate
- Diagnosed diabetes in adults, local model estimate
- Uninsured rate, ages 18 to 64 (US model-based estimate)
- Uninsured rate, ages 19 to 34 (US, ACS)
- Population aged 65 and over
- Residents who moved from another county in the past year
- Hispanic or Latino population share
- Gini index