Counties in North Carolina by traffic fatality rate
Graham County had the highest traffic fatality rate of 100 counties in 2019, at 62.1 per 100,000 people. Washington County had the lowest, at 0 per 100,000 people. The median was 16.4 per 100,000 people and the figure for North Carolina was 14.1 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2019
- Under 9.6
- 9.6 to 13
- 13 to 16
- 16 to 22
- 22 to 29
- 29 and over
Top 40 counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Graham County | 62.1 | +0.5 pts |
| 2 | Tyrrell County | 60.3 | +60.3 pts |
| 3 | Northampton County | 55.9 | +1.3 pts |
| 4 | Bladen County | 47 | +14.1 pts |
| 5 | Bertie County | 44 | +5.9 pts |
| 6 | Chowan County | 43.6 | +36.4 pts |
| 7 | Montgomery County | 42.6 | +23.3 pts |
| 8 | Duplin County | 42.5 | +6.9 pts |
| 9 | Caswell County | 39.5 | +17.6 pts |
| 10 | Robeson County | 38.2 | -2.4 pts |
| 11 | Pender County | 33.7 | -15.6 pts |
| 12 | Columbus County | 33.1 | +0.5 pts |
| 13 | Yadkin County | 32.2 | +21.5 pts |
| 14 | Martin County | 31.5 | +18.1 pts |
| 15 | Nash County | 30.7 | -1.1 pts |
| 16 | Jackson County | 30.3 | +11.6 pts |
| 17 | Granville County | 29.6 | +1.5 pts |
| 18 | Scotland County | 29.1 | +14.6 pts |
| 19 | Lenoir County | 28.9 | -5.4 pts |
| 20 | Sampson County | 28.6 | +0.2 pts |
| 21 | Halifax County | 28.5 | -1.6 pts |
| 22 | Gates County | 28.3 | +9.6 pts |
| 23 | Surry County | 28 | +12.7 pts |
| 24 | Ashe County | 26.3 | +22.5 pts |
| 25 | Edgecombe County | 26.3 | +4.4 pts |
| 26 | Currituck County | 25.7 | +25.7 pts |
| 27 | Cherokee County | 24.6 | +3.3 pts |
| 28 | Macon County | 24.5 | +7.9 pts |
| 29 | Greene County | 24.4 | +14.7 pts |
| 30 | Chatham County | 23.9 | +10.4 pts |
| 31 | Franklin County | 23.8 | +8.5 pts |
| 32 | Randolph County | 23 | +11.8 pts |
| 33 | Hertford County | 22.7 | +9.3 pts |
| 34 | Jones County | 21.7 | -20.6 pts |
| 35 | Hoke County | 21.2 | +11.6 pts |
| 36 | Warren County | 21.2 | -20.7 pts |
| 37 | Swain County | 21.1 | +7 pts |
| 38 | Wilkes County | 19.6 | +7.6 pts |
| 39 | Davie County | 18.9 | +4.7 pts |
| 40 | Watauga County | 18.5 | +12.9 pts |
| 41 | Anson County | 18.4 | -3.5 pts |
| 42 | Cleveland County | 18.3 | -14.3 pts |
| 43 | Burke County | 18.2 | -4.5 pts |
| 44 | Transylvania County | 18.2 | +6.1 pts |
| 45 | Haywood County | 17.8 | -1.7 pts |
| 46 | Carteret County | 17.7 | +3 pts |
| 47 | Harnett County | 17.3 | -10.8 pts |
| 48 | Cumberland County | 16.7 | +2.9 pts |
| 49 | Rockingham County | 16.5 | +3.2 pts |
| 50 | New Hanover County | 16.5 | +11.1 pts |
| 51 | Dare County | 16.4 | +2.6 pts |
| 52 | Lincoln County | 16.3 | +3.2 pts |
| 53 | Pamlico County | 16.3 | +16.3 pts |
| 54 | Yancey County | 16.3 | -0.2 pts |
| 55 | Wayne County | 16.1 | +0.9 pts |
| 56 | Brunswick County | 15.8 | -2.9 pts |
| 57 | McDowell County | 15.7 | -2.3 pts |
| 58 | Rutherford County | 15.5 | -0 pts |
| 59 | Pasquotank County | 14.9 | -5.1 pts |
| 60 | Caldwell County | 14.8 | -2.5 pts |
| 61 | Lee County | 14.3 | -6.6 pts |
| 62 | Vance County | 14 | -4.6 pts |
| 63 | Richmond County | 13.8 | -13.7 pts |
| 64 | Davidson County | 13.7 | -6.7 pts |
| 65 | Stokes County | 13.5 | -0 pts |
| 66 | Moore County | 13.2 | -2.3 pts |
| 67 | Iredell County | 13.1 | -0.3 pts |
| 68 | Stanly County | 12.9 | +3.1 pts |
| 69 | Catawba County | 12.5 | +3.7 pts |
| 70 | Johnston County | 12.3 | -4.3 pts |
| 71 | Cabarrus County | 12.2 | +3.9 pts |
| 72 | Guilford County | 11.3 | +0.1 pts |
| 73 | Avery County | 11.3 | -0 pts |
| 74 | Buncombe County | 11.2 | -1.6 pts |
| 75 | Beaufort County | 11.2 | -4.4 pts |
| 76 | Craven County | 10.9 | +1.1 pts |
| 77 | Onslow County | 10.8 | +0.7 pts |
| 78 | Durham County | 10.6 | +0.8 pts |
| 79 | Polk County | 10.4 | -10.3 pts |
| 80 | Rowan County | 10.3 | -5.6 pts |
| 81 | Wilson County | 10.1 | -5.1 pts |
| 82 | Orange County | 10.1 | +4.7 pts |
| 83 | Union County | 9.8 | -0.6 pts |
| 84 | Madison County | 9.5 | -23.5 pts |
| 85 | Pitt County | 9.4 | -2.4 pts |
| 86 | Alleghany County | 9.2 | -9.1 pts |
| 87 | Clay County | 9.2 | -18.5 pts |
| 88 | Henderson County | 8.7 | -1.8 pts |
| 89 | Alamance County | 8.3 | -0.7 pts |
| 90 | Mecklenburg County | 8.2 | -2.3 pts |
| 91 | Forsyth County | 8.1 | -3.5 pts |
| 92 | Gaston County | 8 | -6.3 pts |
| 93 | Person County | 7.7 | -2.6 pts |
| 94 | Perquimans County | 7.7 | -15.5 pts |
| 95 | Wake County | 6.7 | +0.7 pts |
| 96 | Alexander County | 5.5 | -16.5 pts |
| 97 | Camden County | 0 | -19.8 pts |
| 97 | Hyde County | 0 | -20.9 pts |
| 97 | Mitchell County | 0 | -6.7 pts |
| 97 | Washington County | 0 | -26.4 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 North Carolina 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 North Carolina 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 North Carolina 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 North Carolina 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_north_carolina_2019,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: Counties in North Carolina 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/north-carolina-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 North Carolina 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/north-carolina-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/north-carolina-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 North Carolina by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"North Carolina","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=North%20Carolina&limit=10
Questions
Which county has the highest traffic fatality rate?
Graham County, with 62.1 per 100,000 people in 2019, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Washington County, with 0 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.
Traffic fatality rate: other rankings
Counties in North Carolina: more rankings
- Uninsured rate, ages 19 to 34 (US, ACS)
- Binge drinking in adults, local model estimate
- Frequent mental distress in adults, local model estimate
- Uninsured rate, ages 35 to 64 (US, ACS)
- Child poverty rate, under 18 (US official measure)
- Wages and salaries paid
- White (non-Hispanic) population share
- Female population share