US counties by traffic fatality rate
Loving County had the highest traffic fatality rate of 3075 counties in 2019, at 4,615.4 per 100,000 people. Ziebach County had the lowest, at 0 per 100,000 people. The median was 15.9 per 100,000 people and the figure for the United States was 11 per 100,000 people. Source: NHTSA and BEA.
Top 40 counties, 2019
Full ranking
| Rank | Counties | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Loving County | 4,615.4 | -3,717.9 pts |
| 2 | Borden County | 1,016.9 | +1,016.9 pts |
| 3 | Kenedy County | 847.5 | +80.2 pts |
| 4 | Glasscock County | 792.3 | +439.8 pts |
| 5 | Terrell County | 632.1 | +632.1 pts |
| 6 | McMullen County | 488.6 | +327.6 pts |
| 7 | Esmeralda County | 409.3 | -158.1 pts |
| 8 | Hudspeth County | 395 | +187.3 pts |
| 9 | Eureka County | 376.1 | +376.1 pts |
| 10 | San Juan County | 292.4 | +154.5 pts |
| 11 | Sherman County | 286.6 | +217.5 pts |
| 12 | Wheeler County | 284.1 | +213.2 pts |
| 13 | Mineral County | 238.7 | -115.5 pts |
| 14 | Chase County | 233.3 | +194.1 pts |
| 15 | Guadalupe County | 225.9 | +113.7 pts |
| 16 | Oldham County | 225.4 | +170.4 pts |
| 17 | Sterling County | 221.1 | -219.8 pts |
| 18 | Jackson County | 216.1 | +144.5 pts |
| 19 | Hidalgo County | 212.2 | +188.8 pts |
| 20 | Sanborn County | 212 | +212 pts |
| 21 | Martin County | 210.4 | +56.8 pts |
| 22 | Upton County | 208.7 | +149.4 pts |
| 23 | Edwards County | 206.8 | +72.4 pts |
| 24 | Costilla County | 202.1 | +173.1 pts |
| 25 | Culberson County | 183.5 | -179 pts |
| 26 | Garfield County | 169.3 | +84.7 pts |
| 27 | Kemper County | 162.6 | +140.9 pts |
| 28 | Stonewall County | 161.7 | +161.7 pts |
| 29 | Oliver County | 157.6 | +157.6 pts |
| 30 | Concho County | 156.3 | -6 pts |
| 31 | Hamilton County | 155.7 | +155.7 pts |
| 32 | Donley County | 155.1 | +32.3 pts |
| 33 | Morrill County | 153.5 | +110 pts |
| 34 | Republic County | 149.6 | +149.6 pts |
| 35 | Meade County | 148.4 | +26.7 pts |
| 36 | Jeff Davis County | 145.6 | +145.6 pts |
| 37 | Greene County | 140.6 | -35.2 pts |
| 38 | Wheeler County | 138.4 | +119 pts |
| 39 | Mineral County | 135.2 | +65.9 pts |
| 40 | Carbon County | 129.9 | +34.4 pts |
| 41 | Crockett County | 129.6 | +33.1 pts |
| 42 | Reynolds County | 129.4 | +113.2 pts |
| 43 | Keya Paha County | 127.4 | +127.4 pts |
| 44 | Clark County | 126.1 | +1.9 pts |
| 45 | Blaine County | 125.4 | +46.6 pts |
| 46 | Sioux County | 124.9 | +124.9 pts |
| 47 | Washington County | 124.4 | +20.7 pts |
| 48 | Big Horn County | 120.9 | +30.6 pts |
| 49 | Mora County | 118.7 | +95 pts |
| 50 | Roberts County | 118.1 | +6.7 pts |
| 51 | McCone County | 116.8 | +58.4 pts |
| 52 | De Baca County | 114.5 | +58.6 pts |
| 53 | Mills County | 110.8 | +44.8 pts |
| 54 | Lincoln County | 109.5 | +2.6 pts |
| 55 | Armstrong County | 109.2 | +54.9 pts |
| 56 | Sherman County | 108.2 | -119.8 pts |
| 57 | Glades County | 108 | +8.7 pts |
| 58 | Lyman County | 107.7 | -26.3 pts |
| 59 | Jackson County | 105.3 | +34.9 pts |
| 60 | Wibaux County | 104.8 | +104.8 pts |
| 61 | San Juan County | 103.2 | +69.3 pts |
| 62 | Gilliam County | 102.7 | +50.5 pts |
| 63 | Menard County | 102.2 | +51.6 pts |
| 64 | Billings County | 101.6 | -105.6 pts |
| 65 | La Paz County | 101.6 | -10.2 pts |
| 66 | Garfield County | 99.2 | +19.3 pts |
| 67 | Haines Borough | 95.7 | +95.7 pts |
| 68 | Ward County | 94.7 | -63.7 pts |
| 69 | Phillips County | 94.5 | +71.2 pts |
| 70 | Reeves County | 94.3 | -112.6 pts |
| 71 | Platte County | 93.8 | +35.8 pts |
| 72 | Kimble County | 93.7 | -118.1 pts |
| 73 | Sierra County | 92.7 | +61.5 pts |
| 74 | Barber County | 92.7 | +92.7 pts |
| 75 | Emery County | 92 | +40.9 pts |
| 76 | Wichita County | 91.8 | +45.6 pts |
| 77 | Alexander County | 91.3 | +56.6 pts |
| 78 | Fayette County | 90.5 | +61.8 pts |
| 79 | Chautauqua County | 90.4 | +90.4 pts |
| 80 | Duval County | 90.3 | +60.5 pts |
| 81 | Garfield County | 88.7 | +88.7 pts |
| 82 | Cimarron County | 88.2 | +0.2 pts |
| 83 | Sutton County | 87.6 | +0.2 pts |
| 84 | Reagan County | 87.5 | -31.6 pts |
| 85 | Monroe County | 87.1 | +72.9 pts |
| 86 | Hot Springs County | 87.1 | +23.4 pts |
| 87 | Baylor County | 86.6 | +58.1 pts |
| 88 | Miner County | 86.5 | +86.5 pts |
| 89 | Beaver County | 85.6 | +71.1 pts |
| 90 | Kimball County | 85.3 | -1 pts |
| 91 | Shannon County | 84.5 | +29.2 pts |
| 92 | Lewis County | 83.8 | +53.3 pts |
| 93 | Alpine County | 83.5 | -89.4 pts |
| 94 | Cumberland County | 83.3 | +67 pts |
| 95 | Grand County | 82.9 | +51.6 pts |
| 96 | Roosevelt County | 82.7 | +55.3 pts |
| 97 | Iron County | 82.2 | +32.4 pts |
| 98 | Sheridan County | 81.6 | +81.6 pts |
| 99 | Andrews County | 80.9 | +30.4 pts |
| 100 | Adair County | 80.2 | +25.9 pts |
| 101 | Boise County | 80 | -1.9 pts |
| 102 | Niobrara County | 79.9 | -194.7 pts |
| 103 | Love County | 79 | +39.3 pts |
| 104 | Benton County | 78.6 | +13.3 pts |
| 105 | Kane County | 78.3 | -28.7 pts |
| 106 | Hettinger County | 78.2 | +78.2 pts |
| 107 | Sheridan County | 77.9 | +77.9 pts |
| 108 | Juab County | 76.9 | +68.2 pts |
| 109 | Harding County | 76.9 | -163.8 pts |
| 110 | Warren County | 76.8 | +38.4 pts |
| 111 | Cheyenne County | 76.3 | +76.3 pts |
| 111 | Sharkey County | 76.3 | +76.3 pts |
| 113 | Carter County | 76.3 | +20.8 pts |
| 114 | McKenzie County | 75.5 | +22.3 pts |
| 115 | Collingsworth County | 74.2 | +0.9 pts |
| 116 | Comanche County | 74.1 | +44.3 pts |
| 117 | Madison County | 74.1 | +59.4 pts |
| 118 | Lake County | 73.8 | +11.5 pts |
| 119 | Campbell County | 72.9 | +72.9 pts |
| 120 | Pulaski County | 71.9 | +71.9 pts |
| 121 | Atoka County | 71.6 | +28.7 pts |
| 122 | Decatur County | 71.5 | +71.5 pts |
| 123 | Bailey County | 71.5 | +57.2 pts |
| 124 | Jasper County | 71.4 | +31 pts |
| 125 | Carter County | 71.4 | +71.4 pts |
| 126 | Murray County | 71.4 | +49.8 pts |
| 127 | Trego County | 71.1 | +71.1 pts |
| 128 | Adams County | 70.9 | -0.8 pts |
| 129 | Custer County | 70 | +70 pts |
| 130 | Perkins County | 69.7 | +69.7 pts |
| 131 | Talbot County | 69 | +18.4 pts |
| 132 | Benton County | 68.7 | +34 pts |
| 133 | Modoc County | 68.4 | +45.5 pts |
| 134 | Wilson County | 68.3 | +57.1 pts |
| 135 | Baker County | 68.2 | +68.2 pts |
| 136 | Newton County | 68.2 | +14.5 pts |
| 137 | Briscoe County | 67.8 | +67.8 pts |
| 138 | Nolan County | 67.8 | +6.9 pts |
| 139 | Wayne County | 67.2 | +67.2 pts |
| 140 | Wilkinson County | 67 | +55.9 pts |
| 141 | Harney County | 66.9 | -109.5 pts |
| 142 | Torrance County | 66.4 | -26.1 pts |
| 143 | Irion County | 66.2 | +66.2 pts |
| 144 | Mineral County | 65.9 | +22.4 pts |
| 145 | Cameron County | 65.3 | +65.3 pts |
| 146 | Schley County | 64.7 | +64.7 pts |
| 147 | Taliaferro County | 64.4 | -245.7 pts |
| 148 | Lamar County | 64.3 | +43 pts |
| 149 | McCulloch County | 64.3 | +12.7 pts |
| 150 | Newton County | 64 | +48.3 pts |
| 151 | Nottoway County | 64 | +51.3 pts |
| 152 | Grand County | 63.8 | +50.9 pts |
| 153 | Sussex County | 63.8 | +0.7 pts |
| 154 | Inyo County | 63.6 | +63.6 pts |
| 155 | Lee County | 63.3 | +34.2 pts |
| 156 | Lane County | 63.3 | +63.3 pts |
| 157 | Saguache County | 63.1 | +47.5 pts |
| 158 | Kinney County | 63.1 | +1.5 pts |
| 159 | Woodson County | 62.9 | +62.9 pts |
| 160 | Humphreys County | 62.9 | +25.9 pts |
| 161 | McCormick County | 62.9 | +52.3 pts |
| 162 | Calhoun County | 62.7 | +21.8 pts |
| 163 | Carlisle County | 62.1 | +20.5 pts |
| 164 | Graham County | 62.1 | +0.5 pts |
| 165 | Jackson County | 61.7 | +54.1 pts |
| 166 | Switzerland County | 60.7 | +30.5 pts |
| 167 | Granite County | 60.5 | +30.4 pts |
| 168 | Mono County | 60.4 | -14.6 pts |
| 169 | Gallatin County | 60.4 | +41.1 pts |
| 170 | Tyrrell County | 60.3 | +60.3 pts |
| 171 | Franklin County | 60.2 | +29.7 pts |
| 172 | Kearney County | 60.1 | +60.1 pts |
| 173 | Perry County | 60.1 | +42.9 pts |
| 174 | Cedar County | 59.7 | +35.9 pts |
| 175 | Johnson County | 59.4 | +47.5 pts |
| 176 | Comanche County | 59.2 | +59.2 pts |
| 176 | La Salle County | 59.2 | -43.7 pts |
| 178 | Lewis County | 58.9 | +47.1 pts |
| 179 | Falls County | 58.9 | +35.3 pts |
| 180 | Kiowa County | 58.9 | +23.7 pts |
| 181 | Archer County | 58.6 | +47 pts |
| 182 | Hamilton County | 58.6 | +58.6 pts |
| 183 | Cibola County | 58.5 | +29.3 pts |
| 184 | Hodgeman County | 58.5 | +58.5 pts |
| 185 | Hanson County | 58.1 | -61.3 pts |
| 186 | Washington County | 58.1 | +38.6 pts |
| 187 | Holmes County | 58.1 | +12.7 pts |
| 188 | Humphreys County | 58 | +31.5 pts |
| 189 | Hemphill County | 57.8 | +57.8 pts |
| 190 | Ozark County | 57.8 | +46.1 pts |
| 191 | Fall River County | 57.8 | +28.9 pts |
| 192 | Butler County | 57.7 | +26.6 pts |
| 193 | Hancock County | 57.5 | -1 pts |
| 194 | Golden Valley County | 57.2 | +57.2 pts |
| 195 | Bon Homme County | 56.9 | +42.7 pts |
| 196 | Hardeman County | 56.9 | +28.7 pts |
| 197 | Trinity County | 56.6 | +5.9 pts |
| 198 | Oregon County | 56.5 | +1.4 pts |
| 199 | Alger County | 56.3 | +56.3 pts |
| 200 | Kit Carson County | 56.2 | +0.1 pts |
| 201 | Lewis County | 56.2 | +0.3 pts |
| 202 | Marshall County | 56.1 | +3.5 pts |
| 203 | Perry County | 56.1 | +35.2 pts |
| 204 | Richmond County | 56 | +33.4 pts |
| 205 | Northampton County | 55.9 | +1.3 pts |
| 206 | Madison County | 55.8 | +22.5 pts |
| 207 | Haskell County | 55.7 | +37.3 pts |
| 207 | Van Buren County | 55.7 | +55.7 pts |
| 209 | Crook County | 55.7 | -28.8 pts |
| 210 | Grimes County | 55.6 | +2.3 pts |
| 211 | Dade County | 55.4 | -11.8 pts |
| 212 | Burnett County | 55.3 | +18.1 pts |
| 213 | Jasper County | 55 | -6 pts |
| 214 | Seminole County | 54.9 | +42.4 pts |
| 215 | Mahnomen County | 54.7 | +54.7 pts |
| 216 | Richland Parish | 54.6 | +29.9 pts |
| 217 | Blaine County | 54.5 | +46 pts |
| 218 | Garfield County | 54.4 | +0.4 pts |
| 219 | Wallowa County | 54.3 | +26.6 pts |
| 220 | Deuel County | 54.2 | +0.2 pts |
| 221 | Hardin County | 54.2 | +54.2 pts |
| 222 | Garden County | 54.1 | +1.8 pts |
| 223 | Tate County | 53.7 | +35.8 pts |
| 224 | Calhoun County | 53.7 | +19.2 pts |
| 225 | Blanco County | 53.6 | +8 pts |
| 226 | Haakon County | 53.5 | +53.5 pts |
| 227 | Nowata County | 53 | +53 pts |
| 228 | Putnam County | 53 | +35.3 pts |
| 229 | Live Oak County | 52.9 | +44.1 pts |
| 230 | Cass County | 52.8 | +30.1 pts |
| 231 | Cameron Parish | 52.7 | +35.6 pts |
| 232 | Butts County | 52 | +23.1 pts |
| 233 | Monroe County | 51.9 | +51.9 pts |
| 234 | Coleman County | 51.8 | +26.8 pts |
| 235 | Douglas County | 51.7 | -6.9 pts |
| 236 | Irwin County | 51.6 | +30.8 pts |
| 237 | Ballard County | 51.6 | +26.2 pts |
| 238 | Callahan County | 51.5 | -58.2 pts |
| 239 | Haskell County | 51.5 | +34.5 pts |
| 240 | Sargent County | 51.3 | +51.3 pts |
| 241 | Red River County | 51.3 | +25.8 pts |
| 242 | Pawnee County | 51.2 | +38.5 pts |
| 243 | Hardee County | 51.2 | +16.4 pts |
| 244 | Apache County | 51.2 | +10.8 pts |
| 245 | Buffalo County | 51 | +1.5 pts |
| 246 | Clarke County | 50.9 | +25.5 pts |
| 247 | Winkler County | 50.7 | -197.1 pts |
| 248 | Leon County | 50.7 | -50.4 pts |
| 249 | Orangeburg County | 50.6 | +5.2 pts |
| 250 | Colusa County | 50.6 | -4.9 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. 4 counties with data in other periods have no value for 2019 and are left out rather than filled from another source. 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 (US counties 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, US counties 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. US counties 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, US counties 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_us_counties_by_traffic_2019,
author = {{Invokely}},
title = {{NHTSA FARS traffic fatalities divided by BEA mid-year population (SAINC1 and CAINC1), per 100,000 residents: US counties 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/us-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: US counties 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/us-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/us-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 US counties by traffic fatality rate using official data, and cite the source.
rank_places {"indicator":"traffic_fatality_rate_per_100k","level":"province","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=traffic_fatality_rate_per_100k&level=province&within=United%20States&limit=10
Questions
Which county has the highest traffic fatality rate?
Loving County, with 4,615.4 per 100,000 people in 2019, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Ziebach 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. 4 counties have no value for 2019 and are not ranked.