US counties by traffic fatality rate
Hudspeth County had the highest traffic fatality rate of 3075 counties in 2013, at 504.1 per 100,000 people. Yakutat City and Borough had the lowest, at 0 per 100,000 people. The median was 15.2 per 100,000 people and the figure for the United States was 10.4 per 100,000 people. Source: NHTSA and BEA.
Map of counties, 2013
Top 40 counties, 2013
Full ranking
| Rank | Counties | 2013 | Change on 2012 |
|---|---|---|---|
| 1 | Hudspeth County | 504.1 | +369.3 pts |
| 2 | Kenedy County | 468.4 | +12.8 pts |
| 3 | Oldham County | 355.9 | +152.2 pts |
| 4 | Glasscock County | 342.5 | -319.8 pts |
| 5 | Armstrong County | 310.6 | +310.6 pts |
| 6 | McKenzie County | 251.9 | +10.6 pts |
| 7 | Esmeralda County | 250.3 | -13.5 pts |
| 8 | Taliaferro County | 237 | +117.4 pts |
| 9 | Arthur County | 226.2 | +13.5 pts |
| 10 | Stonewall County | 216.8 | +146.7 pts |
| 11 | Billings County | 215.1 | +107.8 pts |
| 12 | Petroleum County | 198 | +198 pts |
| 13 | Baylor County | 196.7 | +168.7 pts |
| 14 | Prairie County | 170.9 | -91.1 pts |
| 15 | Catron County | 167.8 | +112.7 pts |
| 16 | Schleicher County | 162 | +130.6 pts |
| 17 | Borden County | 160.5 | +160.5 pts |
| 18 | Foard County | 157.1 | +80.2 pts |
| 19 | Sutton County | 155.4 | -27.4 pts |
| 20 | Prairie County | 153.4 | +106.7 pts |
| 21 | Greeley County | 152.9 | +152.9 pts |
| 22 | Eureka County | 152 | +100.4 pts |
| 23 | San Juan County | 147.5 | -291.7 pts |
| 24 | Lincoln County | 147.4 | +73.8 pts |
| 25 | Aurora County | 147.1 | +110.9 pts |
| 26 | Harding County | 144.1 | -282 pts |
| 27 | Rock County | 142.5 | +142.4 pts |
| 28 | Jeff Davis County | 139.1 | +94.6 pts |
| 29 | Crockett County | 137.7 | -0.6 pts |
| 30 | Hooker County | 133.3 | +133.3 pts |
| 31 | Slope County | 131.2 | -131.6 pts |
| 32 | Guadalupe County | 130.7 | -42 pts |
| 33 | Divide County | 130.5 | +130.5 pts |
| 34 | Logan County | 130 | +1.7 pts |
| 35 | Burke County | 128.7 | +83.3 pts |
| 36 | Greene County | 127.2 | +70.2 pts |
| 37 | Sedgwick County | 125.7 | +125.7 pts |
| 38 | La Salle County | 125.6 | -61.1 pts |
| 39 | Irion County | 124.8 | -2.6 pts |
| 40 | Ellis County | 121.9 | +97.2 pts |
| 41 | Live Oak County | 121.6 | +51.7 pts |
| 42 | Sheridan County | 121.1 | +80.7 pts |
| 43 | Reeves County | 120.7 | -0.9 pts |
| 44 | Mineral County | 118 | +45.5 pts |
| 45 | Clark County | 115.9 | -227.4 pts |
| 46 | Reagan County | 114.8 | +85.2 pts |
| 47 | Wayne County | 114 | +76.3 pts |
| 48 | Terrell County | 111 | -105 pts |
| 49 | Brooks County | 109.8 | +68.2 pts |
| 50 | Roberts County | 108.8 | +2.4 pts |
| 51 | Ziebach County | 108.5 | +108.5 pts |
| 52 | Glacier County | 108.4 | +86.5 pts |
| 53 | Cheyenne County | 107.5 | -107.8 pts |
| 54 | Hodgeman County | 105 | +105 pts |
| 55 | Deuel County | 103.7 | -49 pts |
| 56 | De Baca County | 103.5 | +52.4 pts |
| 57 | Jones County | 103.4 | +103.4 pts |
| 58 | Mellette County | 100.3 | +50.7 pts |
| 59 | Dunn County | 99.6 | +47.9 pts |
| 60 | Lincoln County | 98.9 | +60.6 pts |
| 61 | Pendleton County | 98.2 | +57.1 pts |
| 62 | Granite County | 98.1 | +98.1 pts |
| 63 | Ness County | 98.1 | +98.1 pts |
| 64 | Real County | 96.7 | -28.1 pts |
| 65 | Refugio County | 96.6 | +41.3 pts |
| 66 | Hall County | 96.1 | +96.1 pts |
| 67 | Dimmit County | 95.7 | -12.6 pts |
| 68 | Dolores County | 94.7 | +94.7 pts |
| 69 | Concho County | 93.5 | +93.5 pts |
| 70 | Talbot County | 93.5 | +32.4 pts |
| 71 | Lowndes County | 91.9 | +46.5 pts |
| 72 | Warren County | 90.6 | +18.5 pts |
| 73 | Shackelford County | 90.6 | +60.5 pts |
| 74 | Kimble County | 90.4 | +46 pts |
| 75 | Wichita County | 90.4 | +45.8 pts |
| 76 | Major County | 90 | +25.5 pts |
| 77 | Callahan County | 89.7 | +22.5 pts |
| 78 | Clear Creek County | 89.3 | +67 pts |
| 79 | Washington County | 88.3 | +70.9 pts |
| 80 | Motley County | 86.9 | +86.9 pts |
| 81 | Stevens County | 86.8 | +86.8 pts |
| 82 | Culberson County | 86.3 | -85.7 pts |
| 83 | Alpine County | 86.2 | -2.1 pts |
| 84 | Nance County | 85.4 | +85.4 pts |
| 85 | Washington County | 84.9 | +20.7 pts |
| 86 | Chautauqua County | 84 | +28.2 pts |
| 87 | Grant County | 82.8 | +82.8 pts |
| 88 | Clark County | 82.4 | +82.4 pts |
| 89 | Williams County | 82.2 | -16.7 pts |
| 90 | Sweet Grass County | 82 | +82 pts |
| 91 | Garfield County | 81.8 | +81.8 pts |
| 92 | Cotton County | 81.8 | +65.5 pts |
| 93 | Roger Mills County | 81.1 | -79.2 pts |
| 94 | Archer County | 80.1 | +45.9 pts |
| 95 | Pondera County | 80 | -17.2 pts |
| 96 | Harding County | 79.6 | +2.8 pts |
| 97 | Noble County | 79.2 | +53.1 pts |
| 98 | Craig County | 78.9 | +59.2 pts |
| 99 | Clarke County | 78.8 | +42.6 pts |
| 100 | Lyman County | 78.6 | +52 pts |
| 101 | Woods County | 78 | +44 pts |
| 102 | Adams County | 77.8 | +52.2 pts |
| 103 | Monroe County | 77.4 | +26.8 pts |
| 104 | Ellsworth County | 77.2 | +61.9 pts |
| 105 | Mountrail County | 76.7 | +18.5 pts |
| 106 | Niobrara County | 76.7 | -161.4 pts |
| 107 | Big Horn County | 76.3 | -8.4 pts |
| 108 | Karnes County | 76.1 | -12.5 pts |
| 109 | Moore County | 76.1 | +62.8 pts |
| 110 | Leon County | 74.8 | +13.6 pts |
| 111 | Grundy County | 74.3 | +44.9 pts |
| 112 | Caribou County | 74.1 | +29.6 pts |
| 113 | Colorado County | 73.6 | +24.8 pts |
| 114 | Pawnee County | 73.3 | +1.3 pts |
| 115 | Campbell County | 73.2 | -69.2 pts |
| 116 | Boone County | 73 | +73 pts |
| 117 | Corson County | 72.2 | -2.2 pts |
| 118 | Andrews County | 71.9 | -21.6 pts |
| 119 | Kiowa County | 71.7 | +71.7 pts |
| 120 | Day County | 71.4 | +35.8 pts |
| 121 | Wheeler County | 71.4 | +1.3 pts |
| 122 | Little River County | 71 | +55.5 pts |
| 123 | Tucker County | 70.9 | +0.1 pts |
| 124 | Richland County | 70.6 | +43.1 pts |
| 125 | Haywood County | 70.3 | +10.7 pts |
| 126 | San Augustine County | 70.1 | +70.1 pts |
| 127 | Torrance County | 70.1 | +7.8 pts |
| 128 | Somervell County | 69.8 | +11.5 pts |
| 129 | Miller County | 69.5 | +32.5 pts |
| 130 | Pierce County | 69.2 | +55.3 pts |
| 131 | La Paz County | 68.6 | -24 pts |
| 132 | Grenada County | 68.6 | +64.1 pts |
| 133 | Marion County | 68.4 | +29.8 pts |
| 134 | Washita County | 68.2 | +33.7 pts |
| 135 | Gray County | 68.1 | +34.2 pts |
| 136 | Mathews County | 68.1 | +56.8 pts |
| 137 | Quay County | 67.9 | +11.8 pts |
| 138 | Trego County | 67.7 | +67.7 pts |
| 139 | Benton County | 67.6 | +24.9 pts |
| 140 | Grant County | 67.4 | -44.1 pts |
| 141 | Sherman County | 67 | -100.7 pts |
| 142 | Hartley County | 66.8 | +17.4 pts |
| 143 | Greenlee County | 66.8 | -1.3 pts |
| 144 | Clay County | 66.6 | +66.6 pts |
| 144 | Glades County | 66.6 | +33.8 pts |
| 146 | Nolan County | 66.5 | +12.8 pts |
| 147 | Forest County | 66.4 | +53.2 pts |
| 148 | Ottawa County | 66.1 | -0.2 pts |
| 149 | Gooding County | 65.9 | +6.9 pts |
| 150 | Winkler County | 65.8 | -2.3 pts |
| 151 | Carter County | 65.7 | +49.3 pts |
| 152 | Bullock County | 65.7 | +47 pts |
| 153 | Mineral County | 65.6 | +22.8 pts |
| 154 | Mora County | 65.3 | -43 pts |
| 155 | Brunswick County | 65.1 | +0.3 pts |
| 156 | Nelson County | 64 | -0.4 pts |
| 157 | Alger County | 64 | +42.7 pts |
| 158 | Sierra County | 63.9 | -63.6 pts |
| 159 | Dewey County | 63.3 | -0.1 pts |
| 160 | Shannon County | 63.2 | +38.4 pts |
| 161 | Green County | 62.4 | +53.6 pts |
| 162 | Las Animas County | 62.3 | +22.4 pts |
| 163 | Wilcox County | 62.2 | +9.5 pts |
| 164 | Beaver County | 61 | +45.8 pts |
| 165 | Boise County | 60.8 | -28.9 pts |
| 166 | Kit Carson County | 60.7 | -13.6 pts |
| 167 | Houston County | 60.4 | +24.8 pts |
| 168 | Hamilton County | 60.1 | +60.1 pts |
| 169 | Webster County | 59.8 | +59.8 pts |
| 170 | Lewis County | 59.3 | +17.4 pts |
| 171 | Calhoun County | 59.2 | +1.4 pts |
| 172 | Hand County | 59.1 | +29.6 pts |
| 173 | Martin County | 59 | -85.3 pts |
| 174 | Gaines County | 58.8 | +31.4 pts |
| 175 | Big Horn County | 58.8 | +24.7 pts |
| 176 | Cherokee County | 58.6 | +23.6 pts |
| 177 | Graham County | 58.4 | +46.7 pts |
| 178 | Lamb County | 58.1 | +51 pts |
| 179 | Jefferson Davis County | 58 | +33.3 pts |
| 180 | Clay County | 58 | +38.8 pts |
| 181 | Kinney County | 57.7 | -254.3 pts |
| 182 | McCone County | 57.6 | +57.6 pts |
| 183 | Platte County | 57.3 | +34.4 pts |
| 184 | Atoka County | 57.2 | +43 pts |
| 185 | Lafayette County | 57.2 | +45.7 pts |
| 186 | Crook County | 57.1 | +28.7 pts |
| 187 | Woodruff County | 57 | +28.6 pts |
| 188 | Powder River County | 56.8 | -56.8 pts |
| 189 | Washington County | 56.5 | +16.2 pts |
| 190 | Dixie County | 56.3 | -5.9 pts |
| 191 | Emery County | 56.3 | +37.9 pts |
| 192 | Millard County | 56.2 | -24.5 pts |
| 193 | Pembina County | 56 | +56 pts |
| 194 | Gonzales County | 55.8 | -10.4 pts |
| 195 | Idaho County | 55.6 | +12.9 pts |
| 196 | Dewey County | 55.6 | +55.6 pts |
| 197 | Terry County | 55.6 | +23.7 pts |
| 198 | Johnston County | 55.6 | +55.6 pts |
| 199 | Denali Borough | 55.3 | +0.4 pts |
| 200 | Estill County | 55.2 | +55.2 pts |
| 201 | Monona County | 55.1 | +55.1 pts |
| 202 | Baca County | 55.1 | +1.1 pts |
| 203 | Golden Valley County | 54.9 | +54.9 pts |
| 204 | Rosebud County | 54.7 | -31.9 pts |
| 205 | Conecuh County | 54.7 | +16.1 pts |
| 206 | Phillips County | 54.7 | +36.4 pts |
| 207 | Craig County | 54.5 | -6.5 pts |
| 208 | Wayne County | 54.3 | +31.2 pts |
| 209 | Charles Mix County | 54.3 | +54.3 pts |
| 210 | Ward County | 54.2 | -85.6 pts |
| 211 | Jasper County | 54.1 | +30.2 pts |
| 212 | Ferry County | 54 | +54 pts |
| 213 | Kiowa County | 54 | +0.2 pts |
| 214 | Smith County | 53.9 | +0.7 pts |
| 215 | Barnes County | 53.3 | +26.3 pts |
| 216 | Haakon County | 53.2 | +1.1 pts |
| 217 | Irwin County | 53 | +21.9 pts |
| 218 | Levy County | 52.9 | +27.9 pts |
| 219 | Madison County | 52.7 | -13.1 pts |
| 220 | Quitman County | 52.5 | +26.4 pts |
| 221 | Lemhi County | 52 | +26.2 pts |
| 222 | Madison County | 51.8 | +14.9 pts |
| 223 | Garden County | 51.7 | -98.9 pts |
| 224 | Haskell County | 51.7 | +34.5 pts |
| 225 | Meagher County | 51.7 | -0.8 pts |
| 226 | Bent County | 51.4 | +51.4 pts |
| 227 | San Saba County | 51.2 | +0.5 pts |
| 228 | Burke County | 51.1 | +0.1 pts |
| 229 | Meigs County | 51 | -8.6 pts |
| 229 | Pratt County | 51 | +20.3 pts |
| 231 | Bandera County | 51 | +30.9 pts |
| 232 | Hardeman County | 51 | +51 pts |
| 233 | Audubon County | 50.7 | +33.7 pts |
| 234 | Cibola County | 50.6 | +18 pts |
| 235 | Iron County | 50.3 | +16.9 pts |
| 236 | Brooks County | 50.2 | +37.6 pts |
| 237 | Braxton County | 50.2 | +21.9 pts |
| 238 | Boyd County | 50.1 | +1.2 pts |
| 239 | Washington County | 50.1 | +50.1 pts |
| 240 | Knox County | 50.1 | +0.6 pts |
| 240 | Searcy County | 50.1 | -12.4 pts |
| 242 | Mason County | 50 | -25.5 pts |
| 243 | Greer County | 49.5 | +32.8 pts |
| 244 | Hamilton County | 49.2 | +36.9 pts |
| 245 | Greene County | 49.1 | +24.3 pts |
| 246 | McCurtain County | 49.1 | +18.7 pts |
| 247 | Sherman County | 48.9 | +0.1 pts |
| 248 | Taylor County | 48.8 | +32.6 pts |
| 249 | Ballard County | 48.7 | +36.5 pts |
| 250 | Madison County | 48.6 | +0.7 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 2013 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, 2013) [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, 2013. 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, 2013. 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, 2013 [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_2013,
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, 2013}},
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=2013. 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, 2013
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=2013
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=2013.
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?
Hudspeth County, with 504.1 per 100,000 people in 2013, according to NHTSA and BEA.
Which county has the lowest traffic fatality rate?
Yakutat City and Borough, with 0 per 100,000 people in 2013.
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 2013 and are not ranked.