US counties by traffic fatality rate
Loving County had the highest traffic fatality rate of 3077 counties in 2022, at 19,148.9 per 100,000 people. Zapata County had the lowest, at 0 per 100,000 people. The median was 16.9 per 100,000 people and the figure for the United States was 12.8 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2022
Top 40 counties, 2022
Full ranking
| Rank | Counties | 2022 | Change on 2021 |
|---|---|---|---|
| 1 | Loving County | 19,148.9 | +15,577.5 pts |
| 2 | Terrell County | 721.5 | +444.1 pts |
| 3 | Esmeralda County | 672 | -5.5 pts |
| 4 | Armstrong County | 646.2 | +483.1 pts |
| 5 | McMullen County | 525.4 | +525.4 pts |
| 6 | Glasscock County | 436.7 | +260.9 pts |
| 7 | Mineral County | 433.4 | -107.2 pts |
| 8 | King County | 429.2 | +429.2 pts |
| 9 | Sioux County | 354.3 | +267.1 pts |
| 10 | Martin County | 344.4 | +114.7 pts |
| 11 | Oldham County | 340.1 | +109.7 pts |
| 12 | Issaquena County | 311.5 | +159.8 pts |
| 13 | Webster County | 297.7 | +297.7 pts |
| 14 | Kinney County | 286.4 | +286.4 pts |
| 15 | Guadalupe County | 277.5 | +119.3 pts |
| 16 | Eureka County | 268.5 | +111.4 pts |
| 17 | Worth County | 257.3 | +206.7 pts |
| 18 | Taliaferro County | 250 | -5.3 pts |
| 19 | Mora County | 241.4 | +146 pts |
| 20 | Hudspeth County | 231.6 | +79.1 pts |
| 21 | Jones County | 229.9 | -112.6 pts |
| 22 | Carter County | 214 | +214 pts |
| 23 | Motley County | 193.6 | +193.6 pts |
| 24 | Judith Basin County | 192.1 | +94.1 pts |
| 25 | Hartley County | 191.6 | +80.1 pts |
| 26 | Cimarron County | 179.5 | +135 pts |
| 27 | Robertson County | 177.5 | +177.5 pts |
| 28 | Stafford County | 175.9 | +151 pts |
| 29 | Baca County | 174.7 | +174.7 pts |
| 30 | Powder River County | 173.9 | +115.3 pts |
| 31 | Alpine County | 171.1 | +171.1 pts |
| 32 | Kidder County | 166.9 | +124.6 pts |
| 33 | Big Horn County | 163.3 | +93.5 pts |
| 34 | Kimble County | 157.7 | +42.7 pts |
| 35 | Sheridan County | 155.6 | +76.6 pts |
| 36 | Winkler County | 150.6 | +109.9 pts |
| 37 | Yakutat City and Borough | 146 | +146 pts |
| 38 | Wichita County | 145.6 | +145.6 pts |
| 39 | Reeves County | 144.7 | +44.6 pts |
| 40 | Sterling County | 141.1 | +141.1 pts |
| 41 | Culberson County | 139 | -639.8 pts |
| 42 | Carson County | 137.7 | +85.2 pts |
| 43 | Lincoln County | 135.7 | +22 pts |
| 44 | Warren County | 135.4 | +116.3 pts |
| 45 | Treasure County | 133.5 | +3.3 pts |
| 46 | Morrill County | 132.5 | +88.7 pts |
| 47 | Sedgwick County | 130.8 | +44.9 pts |
| 48 | Hinsdale County | 129.4 | -0.2 pts |
| 49 | Quay County | 128.9 | +36.1 pts |
| 50 | San Juan County | 125.6 | -9.9 pts |
| 51 | Kingman County | 125.3 | +111.6 pts |
| 52 | Washington County | 124 | +62.4 pts |
| 53 | Sutton County | 123.5 | -28.3 pts |
| 54 | Clark County | 123.2 | -2.8 pts |
| 55 | Hamilton County | 122.7 | +42 pts |
| 56 | La Salle County | 121.9 | -12.4 pts |
| 57 | Beaver County | 119 | +78.9 pts |
| 58 | Hayes County | 115.7 | +115.7 pts |
| 59 | Cheyenne County | 115.3 | -1 pts |
| 60 | Coleman County | 114.5 | +49.7 pts |
| 61 | Rich County | 113.9 | -1.5 pts |
| 62 | Lowndes County | 112.5 | -8.3 pts |
| 63 | Live Oak County | 112.4 | +68.4 pts |
| 64 | Crane County | 109.7 | +66.6 pts |
| 65 | Gove County | 109.4 | +36.7 pts |
| 66 | Calhoun County | 106.3 | +0.6 pts |
| 67 | Catron County | 105.5 | +105.5 pts |
| 68 | Leon County | 104.8 | +17.6 pts |
| 69 | Andrews County | 103.4 | +49.1 pts |
| 70 | Clark County | 102.7 | -50.6 pts |
| 71 | Terrell County | 102.5 | +91.3 pts |
| 72 | Stanton County | 101.2 | +52.3 pts |
| 73 | Menard County | 101.1 | -0.6 pts |
| 74 | Gilliam County | 99.4 | +99.4 pts |
| 75 | Daggett County | 98.9 | +98.9 pts |
| 76 | Jefferson County | 98.8 | +84.8 pts |
| 77 | Johnston County | 96.8 | +58.1 pts |
| 78 | Wheeler County | 95.8 | +57 pts |
| 79 | Floyd County | 95.2 | +19.7 pts |
| 80 | Hutchinson County | 94.9 | +54.3 pts |
| 81 | Reagan County | 94.9 | +33.6 pts |
| 82 | Red River County | 94.9 | +17 pts |
| 83 | Greene County | 94.4 | +2.1 pts |
| 84 | Custer County | 93.6 | +93.6 pts |
| 85 | Claiborne County | 93 | +35.4 pts |
| 86 | Merrick County | 90.8 | +77.8 pts |
| 87 | Hamilton County | 90.8 | +60.2 pts |
| 88 | Lincoln County | 90.6 | -73.9 pts |
| 89 | Hickman County | 90.5 | +90.5 pts |
| 90 | Tripp County | 90.1 | +54.3 pts |
| 91 | Calhoun County | 89.1 | +22.6 pts |
| 92 | Mills County | 88.8 | -22.5 pts |
| 93 | Garza County | 88.4 | +24.5 pts |
| 94 | Glacier County | 88 | +37 pts |
| 95 | Lynn County | 86.9 | +51.5 pts |
| 96 | Highland County | 86.8 | +42.2 pts |
| 97 | Socorro County | 86.7 | +7 pts |
| 98 | Lander County | 86.7 | +69.3 pts |
| 99 | Stewart County | 86.3 | +25.3 pts |
| 100 | Newton County | 84.6 | +56.7 pts |
| 101 | Kiowa County | 83 | +41.4 pts |
| 102 | Noble County | 82.9 | +37.2 pts |
| 103 | Covington County | 82.8 | +39 pts |
| 104 | Dallam County | 82.5 | +54.7 pts |
| 105 | Fisher County | 82.4 | +82.4 pts |
| 106 | Alexander County | 82.3 | +2.8 pts |
| 107 | Grand County | 81.6 | +29.9 pts |
| 108 | Chicot County | 81.3 | +41.5 pts |
| 109 | Pawnee County | 81.3 | +49.2 pts |
| 110 | Chariton County | 81.1 | +67.6 pts |
| 111 | Montgomery County | 80.9 | +46.1 pts |
| 112 | Runnels County | 80.8 | +20.2 pts |
| 113 | Menifee County | 80.5 | +48.1 pts |
| 114 | Cook County | 80.4 | +45.6 pts |
| 115 | Crosby County | 79.8 | +1.1 pts |
| 116 | Ballard County | 78.6 | -12.4 pts |
| 117 | Wolfe County | 77.9 | +1.1 pts |
| 118 | Pershing County | 77.6 | +62 pts |
| 119 | Mississippi County | 77 | +68.8 pts |
| 120 | Clay County | 76.3 | +56.9 pts |
| 121 | Jackson County | 76.1 | +2.5 pts |
| 122 | Gonzales County | 75.5 | +29.7 pts |
| 123 | Burleson County | 74.7 | +14 pts |
| 124 | Zavala County | 74.6 | -9.8 pts |
| 125 | Newton County | 74.5 | +58.2 pts |
| 126 | Iron County | 74.4 | +53.2 pts |
| 127 | Russell County | 74.3 | +59.4 pts |
| 128 | Butte County | 74.3 | -0.8 pts |
| 129 | Oglala Lakota County | 74.2 | +22.5 pts |
| 130 | Montgomery County | 73.3 | +63 pts |
| 131 | Cotton County | 73.1 | +54.7 pts |
| 131 | Ward County | 73.1 | -17.1 pts |
| 133 | Choctaw County | 72.5 | +24.6 pts |
| 134 | Hamilton County | 72.2 | +60 pts |
| 135 | Aurora County | 72.2 | -0.8 pts |
| 136 | Storey County | 72 | -0.4 pts |
| 137 | Glades County | 72 | +47.6 pts |
| 138 | Sherman County | 71.9 | +36.1 pts |
| 139 | Jasper County | 71.9 | -3.7 pts |
| 140 | Brooks County | 71.8 | -99 pts |
| 141 | Kit Carson County | 71.3 | +28 pts |
| 142 | Hancock County | 71 | +24.9 pts |
| 143 | Hall County | 70.9 | +35.8 pts |
| 144 | Huerfano County | 70.7 | +12.9 pts |
| 145 | Edwards County | 70.3 | +0.3 pts |
| 146 | Robertson County | 70 | +34.6 pts |
| 147 | Kiowa County | 69.9 | +69.9 pts |
| 148 | Wheeler County | 69.7 | +0.9 pts |
| 149 | Butler County | 69.7 | -36.4 pts |
| 150 | Briscoe County | 69.4 | -1.9 pts |
| 150 | Rabun County | 69.4 | +22.7 pts |
| 152 | San Juan County | 69.4 | +48.7 pts |
| 153 | Bullock County | 69.1 | 0 pts |
| 154 | Roosevelt County | 68.8 | +47.7 pts |
| 155 | Glascock County | 68.5 | +68.5 pts |
| 156 | Barton County | 68.4 | +51.3 pts |
| 157 | Lee County | 68.2 | +31.4 pts |
| 158 | Lawrence County | 68.1 | +31.3 pts |
| 159 | Holmes County | 68.1 | +19.7 pts |
| 160 | Beaver County | 68 | -1.2 pts |
| 161 | Fayette County | 68 | +27.6 pts |
| 162 | Rockcastle County | 67.8 | +49.3 pts |
| 163 | Pecos County | 67.8 | +8.3 pts |
| 164 | Marion County | 67.8 | +8.2 pts |
| 165 | Wallace County | 67.1 | +67.1 pts |
| 166 | Adair County | 67.1 | +40.5 pts |
| 167 | Cleveland County | 66.9 | +0.2 pts |
| 168 | McCulloch County | 66.7 | +53.4 pts |
| 169 | Bollinger County | 66.6 | +57.2 pts |
| 170 | Nelson County | 66.4 | +66.4 pts |
| 171 | Harney County | 66.3 | +0.6 pts |
| 172 | Conejos County | 66.1 | +39.7 pts |
| 173 | Mineral County | 66.1 | -42.1 pts |
| 174 | Madison County | 66 | +36.4 pts |
| 175 | Washington County | 65.9 | +58.6 pts |
| 176 | Hot Springs County | 65.1 | +21.6 pts |
| 177 | Twiggs County | 65 | -23.8 pts |
| 178 | Freestone County | 65 | -0.7 pts |
| 179 | Republic County | 64.7 | +22.1 pts |
| 180 | Inyo County | 64 | +48.2 pts |
| 181 | New Madrid County | 63.8 | +51.3 pts |
| 182 | Humboldt County | 63.7 | +24 pts |
| 183 | Haywood County | 63 | +17.7 pts |
| 184 | St. Clair County | 62.6 | +62.6 pts |
| 185 | Chester County | 62.6 | +12.8 pts |
| 186 | Ellsworth County | 62.5 | -16.5 pts |
| 187 | Dundy County | 62.5 | +62.5 pts |
| 188 | Sierra County | 62.2 | +62.2 pts |
| 189 | Colleton County | 62.1 | +12.7 pts |
| 190 | Fremont County | 61.9 | -14.1 pts |
| 191 | Scott County | 61.3 | +30.7 pts |
| 192 | Scott County | 61.2 | +41.2 pts |
| 193 | Donley County | 61.1 | -28.2 pts |
| 194 | Nevada County | 61 | +12.2 pts |
| 195 | Kane County | 60.9 | +10.8 pts |
| 196 | Knox County | 60.8 | +0.7 pts |
| 197 | Jerauld County | 60.8 | +60.8 pts |
| 198 | Frio County | 60.4 | +26.9 pts |
| 199 | Bennett County | 59.9 | -28.5 pts |
| 200 | Karnes County | 59.8 | +39.6 pts |
| 201 | Kimball County | 59.8 | +59.8 pts |
| 202 | Cibola County | 59.8 | -28.9 pts |
| 203 | Moore County | 59.6 | +29.5 pts |
| 204 | Oscoda County | 59.5 | +35.5 pts |
| 205 | Northampton County | 59.5 | +24.5 pts |
| 206 | Lawrence County | 59.5 | +51 pts |
| 207 | Roger Mills County | 59.4 | +29.7 pts |
| 208 | Dixie County | 59.4 | +29.9 pts |
| 209 | Emery County | 59.4 | +9.2 pts |
| 210 | Boise County | 59.3 | -51.3 pts |
| 211 | Concho County | 59.3 | +29.5 pts |
| 212 | Marshall County | 59 | +14.4 pts |
| 213 | Ouray County | 58.7 | -0.5 pts |
| 214 | Trimble County | 58.7 | +11.9 pts |
| 215 | Hodgeman County | 58.6 | +0.6 pts |
| 216 | Torrance County | 58.4 | -0.3 pts |
| 217 | Luna County | 58.4 | -28 pts |
| 218 | McCone County | 58.4 | +58.4 pts |
| 219 | Converse County | 58.1 | +28.8 pts |
| 220 | Gates County | 57.8 | +38.6 pts |
| 221 | Nottoway County | 57.8 | +38.6 pts |
| 222 | Hanson County | 57.8 | +57.8 pts |
| 223 | Platte County | 57.8 | +57.8 pts |
| 224 | Tyrrell County | 57.7 | +28 pts |
| 225 | Boyd County | 57.6 | +57.6 pts |
| 226 | Wilkinson County | 57.5 | +12.1 pts |
| 227 | Polk County | 57.3 | +57.3 pts |
| 228 | Hot Spring County | 57.3 | +11.9 pts |
| 229 | Johnson County | 57.2 | -35.5 pts |
| 230 | Carter County | 57 | +19.4 pts |
| 231 | Seward County | 56.7 | +28.3 pts |
| 232 | Butler County | 56.6 | +32.2 pts |
| 233 | Orangeburg County | 56.5 | +1 pts |
| 234 | Dooly County | 56.4 | +38 pts |
| 235 | Norton County | 56.4 | +19.1 pts |
| 236 | DeSoto County | 56.4 | +15.6 pts |
| 237 | Sussex County | 56.3 | +0.9 pts |
| 238 | Uvalde County | 56.2 | +24 pts |
| 239 | Jasper County | 56.2 | +12.9 pts |
| 240 | Chattooga County | 56.2 | +40.1 pts |
| 241 | Washita County | 56 | +19.3 pts |
| 242 | Goliad County | 56 | +28 pts |
| 243 | Robeson County | 55.9 | +2.4 pts |
| 244 | Wilbarger County | 55.8 | +8.6 pts |
| 245 | De Soto Parish | 55.8 | +7.6 pts |
| 246 | Lincoln County | 55.6 | +37.9 pts |
| 247 | Costilla County | 55.4 | -27.6 pts |
| 248 | Hampton County | 55.1 | +5.8 pts |
| 249 | Irwin County | 54.8 | +44.2 pts |
| 250 | Lamb County | 54.8 | +16.1 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. 2 counties with data in other periods have no value for 2022 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, 2022) [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, 2022. 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, 2022. 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, 2022 [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_2022,
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, 2022}},
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=2022. 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, 2022
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=2022
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=2022.
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 19,148.9 per 100,000 people in 2022, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Zapata County, with 0 per 100,000 people in 2022.
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. 2 counties have no value for 2022 and are not ranked.