Motor vehicle crash deaths
Deaths in car and other motor vehicle crashes per 100,000 people.
How it has moved
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Every state, every year
One row per state and one column per year, sorted by the latest value. It shows states, not counties: nobody can scan 3,222 rows, and the pattern only shows when it all fits on one screen.
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Where it comes from
County Health Rankings · County Health Rankings v039
University of Wisconsin · 13 releases, 2013–2025; each value filed under the last year its data covers, 2010–2023 · 95% likely ranges, converted to 90%; figures based on small counts are withheld
Source: County Health Rankings, which compiles each measure from its own source and filed here under the last year of the period it covers.
Combining areas: an average weighted by population.
What it goes with
The strongest links that have a page of their own. Unadjusted is the link before adjusting for anything, from −1 (opposite) to +1 (in step). Adjusted compares places with the same population density, income and education levels, so those differences can’t explain the link. This list leaves out the 3 pairs built from the same numbers or the same model as this measure, since they are bound to match.
| Measure | Unadjusted | Adjusted |
|---|---|---|
| Motor vehicle crash deaths and Years of potential life lostWhere Motor vehicle crash deaths is higher, Years of potential life lost tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Years of potential life lost by US county | +0.70 | +0.56 |
| Motor vehicle crash deaths and Premature mortalityWhere Motor vehicle crash deaths is higher, Premature mortality tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Premature mortality by US county | +0.69 | +0.54 |
| Motor vehicle crash deaths and Child mortalityWhere Motor vehicle crash deaths is higher, Child mortality tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Child mortality by US county | +0.70 | +0.53 |
| Motor vehicle crash deaths and Life expectancyWhere Motor vehicle crash deaths is higher, Life expectancy tends to be lower: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Life expectancy by US county | -0.67 | -0.51 |
| Motor vehicle crash deaths and Health scoreWhere Motor vehicle crash deaths is higher, Health score tends to be lower: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Health score by US county | -0.72 | -0.50 |
| Motor vehicle crash deaths and Homicide rate, annualWhere Motor vehicle crash deaths is higher, Homicide rate, annual tends to be higher: a moderate link that holds when only places with similar density, income and education are compared. Homicide rate, annual by US county | +0.64 | +0.50 |
| Motor vehicle crash deaths and StrokeWhere Motor vehicle crash deaths is higher, Stroke tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Stroke by US county | +0.66 | +0.49 |
| Motor vehicle crash deaths and Lack of reliable transportationWhere Motor vehicle crash deaths is higher, Lack of reliable transportation tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Lack of reliable transportation by US county | +0.64 | +0.47 |
| Motor vehicle crash deaths and Homicide rateWhere Motor vehicle crash deaths is higher, Homicide rate tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Homicide rate by US county | +0.57 | +0.47 |
| Motor vehicle crash deaths and Food insecurityWhere Motor vehicle crash deaths is higher, Food insecurity tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Food insecurity by US county | +0.62 | +0.47 |
Population makeup
How this measure varies with the racial and ethnic makeup of counties. Every group is shown, whatever its rank. These are links across counties: they describe places, not people. They say nothing about any person’s risk or behaviour based on their race. Counties with a larger share of one group also differ in much else, such as income, segregation, region and history. The adjusted figure only accounts for density, income and education.
| Share of residents | Unadjusted | Adjusted |
|---|---|---|
| Motor vehicle crash deaths and Share White, not HispanicWhere Motor vehicle crash deaths is higher, Share White, not Hispanic tends to be lower: a weak link that holds when only places with similar density, income and education are compared. Share White, not Hispanic by US county | -0.19 | -0.34 |
| Motor vehicle crash deaths and Share Black, not HispanicWhere Motor vehicle crash deaths is higher, Share Black, not Hispanic tends to be higher: a moderate link that holds when only places with similar density, income and education are compared. Share Black, not Hispanic by US county | +0.38 | +0.42 |
| Motor vehicle crash deaths and Share Hispanic or Latino, any raceCould easily be chance once only places with similar density, income and education are compared. Share Hispanic or Latino, any race by US county | -0.02 | +0.01 |
| Motor vehicle crash deaths and Share Asian, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share Asian, not Hispanic by US county | -0.36 | +0.08 |
| Motor vehicle crash deaths and Share American Indian or Alaska Native, not HispanicWhere Motor vehicle crash deaths is higher, Share American Indian or Alaska Native, not Hispanic tends to be higher: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Share American Indian or Alaska Native, not Hispanic by US county | +0.50 | +0.45 |
Highest and lowest
Of 2,491 counties reporting it. These are the two ends of a national ranking. For most measures, that ranking mostly sorts places by income and how urban they are. That is why the place pages compare each place with similar places instead.
Highest
- Big Horn County, MT — 90
- Oglala Lakota County, SD — 86.4
- Todd County, SD — 80.6
- Jackson County, SD — 76.3
- Dewey County, SD — 68.3
Lowest
- New York County, NY — 2.71
- Arlington County, VA — 2.73
- Loudoun County, VA — 3.46
- Kings County, NY — 3.66
- Richmond County, NY — 3.83
The middle area reports 18.1. The middle half of counties falls between 12.7 and 24.8 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works