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Research · 2020–2022

Drunk driving deaths by county, and the problem with ranking states

We built a county-level view of alcohol-involved fatal crashes to put local numbers on our state pages. Doing it surfaced something that undermines most published rankings of this statistic, including the ones we were about to write.

Fatal crashes with a drinking driver
30,362
of 115,142 nationwide, 2020–2022
Drivers who got an alcohol test
40%
70,260 of 175,852 drivers in fatal crashes
Correlation between the two
0.61
across all 51 jurisdictions
The finding

States that test more, find more

The usual headline — «X% of fatal crashes in this state involved a drinking driver» — sounds like a measure of behavior. It is substantially a measure of police procedure. Whether a driver is recorded as drinking depends on whether anyone obtained a blood or breath sample, and states differ on that by a factor of eight.

Across all 51 jurisdictions — 50 states plus DC — the share of drivers tested and the share of crashes recorded as alcohol-involved move together with a correlation of 0.61. The two ends of the table make the point without any statistics at all.

Test the most drivers

South Dakotatested 80% · found 34%
Montanatested 78% · found 46%
Louisianatested 72% · found 30%
Alaskatested 68% · found 30%
New Hampshiretested 68% · found 38%

Test the fewest

Mississippitested 10% · found 18%
Arizonatested 25% · found 19%
Texastested 28% · found 26%
Wisconsintested 28% · found 32%
North Carolinatested 29% · found 25%

This does not mean the low-testing states have less drunk driving. It means nobody knows what they have, and their published figure is a floor rather than an estimate. A ranking that puts them at the bottom is rewarding them for not looking.

Counties, by volume

Where the most people die in these crashes

Absolute counts are the safer comparison: they do not depend on how many other fatal crashes a county had, though they still depend on testing.

CountyAlcohol-involvedAll fatal crashesShare
Harris County, TX4671,52431%
Los Angeles County, CA4112,34718%
Maricopa County, AZ3211,64820%
Riverside County, CA29294331%
San Bernardino County, CA2791,13325%
Dallas County, TX27395329%
San Diego County, CA22784027%
Clark County, NV19264430%
Bexar County, TX19163530%
Kern County, CA18158931%
Orange County, CA17264527%
Shelby County, TN16068423%
Hillsborough County, FL15966724%
Fresno County, CA14951229%
Sacramento County, CA14955727%
Duval County, FL14349429%
Wayne County, MI14163822%
San Joaquin County, CA13136736%
Cook County, IL1281,12311%
Orange County, FL12656622%
Counties, by share

Highest share, among counties with enough crashes to compare

Counties with fewer than 60 fatal crashes over three years are excluded: at that size one bad weekend moves the percentage by ten points.

CountyShareAlcohol-involvedAll fatal crashes
Douglas County, OR51%4589
Pueblo County, CO50%4590
York County, ME49%3163
Hawaii County, HI49%3572
Flathead County, MT48%2960
El Dorado County, CA48%3369
St. Charles County, MO47%4392
Colleton County, SC46%3168
Ector County, TX45%56125
Richland County, SC44%81184
Cumberland County, NJ44%3069
York County, SC43%43101
Ventura County, CA43%68160
Bastrop County, TX42%2969
Lexington County, SC42%56135
Yakima County, WA42%54130
Rock County, WI41%2766
Virginia Beach city, VA40%3689
Cuyahoga County, OH40%124308
Weld County, CO40%52129
Method

How this was built, and what it cannot tell you

Source is the NHTSA Fatality Analysis Reporting System, annual national files for 2020–2022, which are public domain. A crash counts as alcohol-involved when the vehicle file records a drinking driver. Counties come from the crash record’s own county code; the testing share is the proportion of drivers in fatal crashes with a usable alcohol test result in the person file.

Three limits worth stating plainly. This is a narrower measure than the federal 0.08 BAC standard, so every figure here understates. It covers fatal crashes only, which are a small and unrepresentative slice of all drunk driving. And it says nothing about cause: a county with a high share may have worse roads, longer distances to a hospital, or simply more diligent police.

We publish it because the county view did not exist anywhere we could find, and because the testing caveat is missing from every ranking we checked — including, initially, our own state pages, which we rewrote after running these numbers.

Reuse it freely. The underlying data is a US government work; our aggregation is yours to cite. If you want a cut we have not published, ask.

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