Crash Trend Overview
Total Crashes by Year
Annual trends for total crashes, fatal crashes, and serious injury crashes from 2014 through 2024.
What does this mean?
Three trend lines showing total crashes, fatal crashes, and serious-injury crashes per year (2014 – 2024). Total crash volume dropped sharply in 2020 (COVID) except for miscellaneous trafficway crashes that have steadily risen. Fatal and serious-injury outcomes continue to rise with more severe outcomes from fewer overall crashes.
Total Crashes
Fatal Crashes
Serious-Injury Crashes
Crash Type Breakdown
Crash counts by roadway user group, comparing vehicle-only crashes with crashes involving pedestrians and bicyclists.
What does this mean?
A donut chart showing crash counts and share of total crashes (%). Vehicle-only crashes remain the largest group. Motorcyclist crashes have been separated out from the vehicle-only group, since motorcyclists are a key focus of the road safety program. Pedestrian and bicycle crashes represent a small share, with their highest counts seen in city street jurisdictions.
Fatal & Serious Injury Rate by Type*
Crash severity distribution by roadway-user group, showing the share of crashes resulting in fatal or serious injury outcomes.
What does this mean?
A bar chart showing the percentage of fatal and serious injury outcomes across three roadway-user groups. Pedestrian crashes resulted in a fatal outcome about 5% of the time with a serious injury reported about 22% of the time. While bicycle crashes had a fatality rate of 0.31%, they had a rate of 11% for serious injury outcomes.
Year-over-Year Comparison
Pick any two years to compare every metric
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| Year | Total | Fatal | Serious Inj. | Fatalities | Serious Inj. (people) |
|---|
Jurisdiction Comparison
County roads see only about 14% of all crashes but account for roughly 22% of all traffic fatalities — a crash on a county road is far more likely to be deadly. State Routes track close to proportional (about 53% of crashes and 51% of fatalities), while City Streets account for about 33% of crashes and 25% of fatalities.
Fatal & Serious-Injury Rate by Jurisdiction
Share of crashes resulting in a fatal or serious injury, ranked by jurisdiction.
What does this mean?
The bar chart ranks each jurisdiction by fatal and serious injury rate. While Miscellaneous Trafficways had the highest fatality (0.82%) and serious injury rates (2.56%), they had the smallest share of crashes and come from an unreliable jurisdiction categorization. County Roads accounted for 14% of the crash volume yet had the highest fatality rate of 0.54% and a serious injury rate of 2.4%.
Fatal rate
Serious-injury rate
Volume vs. Fatality Share
Each jurisdiction's share of all crashes compared with its share of all fatalities.
What does this mean?
Each point plots a jurisdiction's share of all crashes (x-axis) against its share of all fatalities (y-axis). The diagonal reference line marks where a jurisdiction's fatality share equals its crash share meaning where crashes there are no more or less deadly than average. Points above the line have a higher-than-average fatal rate. Points below the line have a lower-than-average fatal rate.
Annual Fatalities by Jurisdiction
Annual crash trends by jurisdiction from 2014 through 2024. Each panel uses its own scale to show trends within that jurisdiction.
What does this mean?
Four time-series charts, one per jurisdiction, each on its own scale. State Routes had the highest annual fatality counts out of all jurisdictions. County Roads peaked in 2022 before declining while City Streets have seen a sharp increase since 2018.
| Jurisdiction | Crashes | Fatal | Fatal rate | Serious Injury | SI rate | Fatalities |
|---|
Demographics
Driver Age Distribution
Distribution of involved drivers by age group and jurisdiction.
What does this mean?
A bar chart showing driver age distribution by crash percentage and counts. The 25–44 band is the largest in every jurisdiction (roughly 40% of drivers). 45–64-year-old drivers had the second highest crash percentages across all jurisdictions. The 16–24 band revealed higher crash percentages on county roads (25.5% on county roads, vs. 21.7% on city streets).
Speeding Drivers by Age Band
Age distribution of drivers involved in speeding-related crashes, compared across jurisdictions.
What does this mean?
A bar chart showing speeding drivers by age group by crash percentage and counts. 16–24 drivers are over-represented in speeding crashes relative to their overall share. On county roads they make up 25.5% of drivers but 46.4% of speeding crashes. This pattern shows up in every jurisdiction but is most pronounced on county roads and city streets.
Driver Age Trends in All Crashes Over Time
Involved drivers by age group, 2014–2024. Switch between all crashes, fatal crashes, and serious-injury crashes; click a legend label to isolate a band — the axis rescales to fit.
What does this mean?
A time-series graph of involved drivers by age group. Use the toggle to switch the severity lens: all crashes shows overall exposure, while the fatal and serious-injury views reveal which age groups are over-represented in the crashes the program most wants to eliminate. Counts in the fatal/serious views are drivers involved in those crashes, so a single crash can contribute more than one driver.
Under 16
16–24
25–44
45–64
65+
| Age band | Drivers | % of total | Speeding drivers | % of speeding |
|---|
Pedestrians & Bicyclists*
Pedestrian Crashes by Year
Annual pedestrian-involved crashes, fatalities, and serious injuries from 2014 through 2024.
What does this mean?
A time-series graph showing total pedestrian-involved crashes by year. Crashes (all jurisdictions) peaked in 2017 (261) and have remained lower since. Fatalities climbed to 17 in 2022, the highest across all years.
Total Crashes
Fatalities
Serious Injuries
Bicycle Crashes by Year
Annual bicycle-involved crashes, fatalities, and serious injuries from 2014 through 2024.
What does this mean?
A time-series graph showing total bicycle-involved crashes by year. Bicycle crashes peaked in 2015 (147) before declining to their lowest in 2020 during COVID yet have continued to rise since then. Serious injuries are also rising faster in recent years, peaking in 2024 (17). Fatalities remain low (typically 0–2 per year) but not completely absent.
Total Crashes
Fatalities
Serious Injuries
Pedestrian Crash Severity
Severity distribution for pedestrian-involved crashes, showing the share of crashes by outcome category.
What does this mean?
A donut chart showing pedestrian crash severity by severity type. Across all jurisdictions, over 5% of pedestrian crashes resulted in a fatal outcome and another 18% produced a severe injury outcome.
Bicycle Crash Severity
Severity distribution for bicycle-involved crashes, showing the share of crashes by outcome category.
What does this mean?
A donut chart showing bicycle crash severity by severity type. Across all jurisdictions, bicycle crashes with a fatal outcome were less than 1%, however, a serious or minor injury accounted for over 55% of all crashes involving a bicycle.
| Year | Crashes | Fatalities | Serious injuries |
|---|
| Year | Crashes | Fatalities | Serious injuries |
|---|
Motorcycle
A priority road-safety group
Motorcyclists are vulnerable road users, a key focus of the road safety program. As vulnerable road users, they are far more likely than vehicle occupants to be killed or seriously injured in a crash. At 20 mph, 90% of vulnerable road users survive a crash; survivability drops sharply as speeds climb. The charts below pull motorcycle-involved crashes out of the broader vehicle stream so trends and outcomes are visible on their own.
Motorcycle Crashes by Year
Annual motorcycle-involved crashes, fatalities, and serious injuries, 2014–2024. Click a legend label to isolate a series — the axis rescales to fit.
What does this mean?
A time-series graph showing motorcycle crashes by year (2014–2024). Across all jurisdictions, motorcycle crashes peaked in 2016 (293). Fatal and serious-injury crashes have remained elevated since 2020, with both counts peaking in 2022 at 13 and 49, respectively.
Total Crashes
Fatalities
Serious Injuries
Helmet Use & Outcomes
Fatal and serious-injury rates for motorcyclists by helmet-use status, based on records where helmet use was reported.
What does this mean?
A bar chart comparing fatal and serious-injury rates for helmeted vs. un-helmeted motorcyclists. Across all jurisdictions, riders not wearing a helmet had a markedly higher fatality rate than helmeted riders. Helmet use does not eliminate serious injury, but it substantially reduces the share of crashes that end in death.
Fatal rate
Serious-injury rate
| Year | Crashes | Fatalities | Serious injuries |
|---|
| Helmet status | Riders | Fatal rate | SI rate |
|---|
Target Zero Indicators*
Target Zero Indicators by Share of Crashes & Injury Severity
Each bar is an emphasis area's share of all crashes, stacked by the most severe outcome of the flagged crash: fatal, serious injury, or all other. A single crash may be associated with more than one emphasis area, so shares do not add to 100%.
What does this mean?
A stacked bar chart ranking Target Zero emphasis areas by their share of all crashes, with each bar split by injury severity (fatal, serious injury, all other). The ranking by total volume is led by intersection-related crashes and young-driver (15–24) crashes. But severity tells a different story: lane-departure and run-off-road crashes carry far more fatal crashes than intersection crashes despite lower total volume — these are where the most severe outcomes concentrate. Hover any segment for its share within that indicator.
Fatal
Serious injury
All other
Target Zero Emphasis Area by Jurisdiction
Target Zero emphasis area profile by jurisdiction, highlighting how the mix of contributing factors varies by roadway type.
What does this mean?
A bar chart showing target zero emphasis areas by jurisdiction. Each jurisdiction has a distinct risk profile. City streets see the most intersection-related crashes (46.85%) compared to any other jurisdiction. County roads see the highest lane-departure (34.86%) and run-off-road crashes (31.23%) compared to any other jurisdiction. State routes saw the highest count of speeding crashes (22.31%).
City Streets
County Roads
State Routes
Miscellaneous Trafficway
| Indicator | Crashes flagged | % of crashes | Fatal | Serious injury | All other |
|---|
Weather, Road, & Time Conditions
Weather at Time of Crash
Crash distribution by weather condition at the time of the crash.
What does this mean?
A bar chart showing weather at time of crash. Across all jurisdictions, about 60% of crashes happened under clear or partly cloudy skies. Snow and ice accounted for just over 1% of crashes but the crash severity in those conditions is typically elevated.
Road Surface at Time of Crash
Crash distribution by road-surface condition at the time of the crash.
What does this mean?
A bar chart showing road surface at time of crash. Across all jurisdictions, two-thirds (66.8%) of crashes happened on dry roads. Wet pavement was involved in about 30% of crashes. Ice and snow show up in only 3% of crashes, but those crashes skew more severely. County roads saw the highest ice/snow share of crashes at 5.4%.
Lighting at Time of Crash
Crash distribution by lighting condition at the time of the crash.
What does this mean?
A bar chart showing lighting at time of crash. Across all jurisdictions, about 68% of all crashes happened in daylight. Dark lighting with streetlights on had the second highest share of all crashes at 20.2%. County roads had the highest share of dark/unlit crashes (13%) whereas City streets had the highest share of dark/lit crashes (22.5%).
Crashes by Hour of Day
Crash distribution by hour of day and jurisdiction.
What does this mean?
A column chart showing crashes by hour of day. The 3–5 PM commute window was consistently the highest-risk period across every jurisdiction. Morning rush (7–8 AM) created a smaller second peak.
Crashes by Day of Week
Crash distribution by day of week and jurisdiction.
What does this mean?
A column chart showing crashes by day of week. Friday was the peak day across every jurisdiction, except for miscellaneous trafficways. Sunday was the lowest of all jurisdictions except for miscellaneous trafficways. The Monday-to-Friday ramp-up likely reflects commute volume with more miles driven leading to more crashes.
Crashes by Month
Crash distribution by month and jurisdiction.
What does this mean?
A column chart showing crashes by month. The months of October through December consistently peaked across every jurisdiction where a combination of a wetter, darker season combined with reduced visibility, shorter daylight, and slick roads may have contributed to higher crash counts.
| Weather | Crashes | % |
|---|
| Surface | Crashes | % |
|---|
| Lighting | Crashes | % |
|---|
| Day | Crashes |
|---|
| Month | Crashes |
|---|
Speed & Behavior
Why speed matters
Speed survivability threshold is the vehicle speed, for a given crash type, at which 90% of people involved in the crash will not experience a serious or fatal injury. Survivability thresholds for crash types and road users are listed below.
- Vulnerable road users (bicyclists, pedestrians, and motorcyclists): At 20 mph, 90% of vulnerable road users will survive the crash.
- Users over 65 are two to eight times more likely to die than younger people when struck by a motor vehicle.
- Side-impact vehicle-to-vehicle collisions: At 30 mph, 90% of motorists will survive the crash.
- Head-on vehicle-to-vehicle collisions: At 45 mph, 90% of motorists will survive the crash.
Crashes by Posted Speed Zone
Fatal-crash rate by posted speed limit, excluding crashes with unknown posted speed.
What does this mean?
A bar chart showing crashes by posted speed zone. Higher posted speeds tend to correlate with higher fatality rates. 50–55 mph zones carried the highest fatality rate across all jurisdictions combined (~0.7%) followed by 60+ mph speed zones at 0.55%. Overall, the highest crash counts (39,285) occurred in the 30 – 35 mph posted speed zones. County roads have no 60+ zones given that county roads throughout the county do not have posted speed zones above 55 miles per hour.
Speeding-Related Crashes by Year
Annual trends in speeding-related crashes, fatalities, and serious injuries from 2014 through 2024.
What does this mean?
A time-series graph showing speeding-related crashes by year. Total speeding crashes peaked in 2016 (2,298) before declining to their lowest in 2020 (1,632) during COVID before steadily increasing in recent years. State routes accounted for the largest share of fatal and serious injuries compared to other jurisdictions.
Total Crashes
Fatalities
Serious Injuries
Restraint Use — Vehicle 1 Driver
Crash outcomes by restraint or helmet-use status, based on available records.
What does this mean?
A bar chart showing restraint use and crash outcomes for vehicle 1 driver. Unrestrained drivers had a fatality rate 30 times higher than belted drivers. Across all jurisdictions, those not wearing any restraint device were involved in 2,147 crashes with a fatality rate of 6.52%. Crashing involving a motorcyclist where a motorcycle helmet was used reduced fatality rates substantially leading to a fatality rate of 2.73% but a serious injury rate of 14.87%.
About "Vehicle 1": In the dataset, Driver 1 is recorded as the primary driver considered at fault for the crash, though other drivers in the same crash may also share fault. The reporting level captures whether additional drivers were or were not using restraints or helmets. Driver 1 is shown here as a stand-in reflective of all drivers and passengers involved in the crash.
Sobriety & Impairment
Crash outcomes by reported driver sobriety status, based on records with available sobriety information.
What does this mean?
A bar chart showing count and percentage of sobriety and impairment crashes. Sobriety data is missing for ~42% of crashes (typically PDOs) which may not paint the most accurate picture for these trends. Among recorded crashes with values present, alcohol-impaired drivers had fatal rates 25 times that of non-impaired drivers. Across all jurisdictions, 4,284 (5.4%) of crashes involved an alcohol impaired driver with a fatality rate of 4.62% and a serious injury rate of 8.33%.
Top 10 Contributing Circumstances
Primary driver-attributed circumstances recorded at the time of crash. Percentages are based on driver records and may include multiple circumstances for a single crash.
What does this mean?
A bar chart showing the top ten contributing circumstances reported in the crash log. These are the primary driver-attributed circumstances at time of crash. A single crash can have multiple drivers with multiple circumstances and percentages represent share of driver records, not crashes. Across all jurisdictions, inattention was the leading contributing circumstance reported almost 16% of all crashes. Failure to grant right of way (14.38%), and following too closely (12.16%) were the next largest share of contributing circumstances reported in a crash, but the ordering shifts depending on jurisdiction.
Distracted-Driving Crashes by Year
Distracted-driver crashes each year shown against total crashes. The annual distracted series is estimated by applying the period's overall distracted-driver share to each year's total (per-year distracted counts are not separately stored).
What does this mean?
A time-series graph showing crashes that involved a distracted driver each year, alongside total crashes. Distraction is one of the most-flagged Target Zero factors — across all jurisdictions it appears in roughly 31% of crashes. Click a legend label to isolate a series; the axis rescales to fit.
Total Crashes
Distracted-Driver Crashes
| Posted speed | Crashes | Speeding flagged | Fatal rate | SI rate |
|---|
| Year | Crashes | Fatalities | Serious injuries |
|---|
| Restraint | Drivers | Fatal rate | SI rate |
|---|
| Sobriety | Drivers | % of reported | Fatal rate |
|---|
| Circumstance | Records | % |
|---|
Hit & Run
Hit & Run Crashes by Year
Annual trends in hit-and-run crashes by jurisdiction from 2014 through 2024.
What does this mean?
A time-series graph showing hit & run crashes by year. Across all jurisdictions, crashes peaked in 2016 (1,829) before declining to their lowest counts in 2020 during COVID. Unfortunately, counts have steadily increased, exceeding pre-pandemic levels.
Total Crashes
Fatalities
Serious Injuries
Hit & Run Severity Mix
Severity distribution and roadway-user involvement for hit-and-run crashes.
What does this mean?
A bar chart showing hit and run crash severity trends. Roughly 73% of hit & run crashes did not result in a physical injury but did result in property damage. Just over 1% of all hit and run crashes involved a fatal or serious injury outcome.
| Metric | Value |
|---|
| Year | Crashes | Fatalities | Serious injuries |
|---|
Commercial / Heavy Vehicles*
Heavy-Vehicle Crashes by Year
Annual trends in heavy-vehicle crashes, fatalities, and serious injuries from 2014 through 2024.
What does this mean?
A time-series graph showing heavy-vehicle crashes by year (2014 – 2024). Across all jurisdictions, heavy-vehicle crashes peaked in 2017 (608) before declining to their lowest counts in 2020 during COVID. Fatality counts have remained elevated across all years, peaking in 2022 with 11 fatalities. Serious injury counts have followed a similar trend, peaking in 2016 at 24 while remaining higher in recent years.
Total Crashes
Fatalities
Serious Injuries
Heavy-Vehicle Crashes by Jurisdiction
Distribution of heavy-vehicle crashes by jurisdiction.
What does this mean?
A bar chart showing heavy-vehicle crashes by jurisdiction. State routes had the highest share of crashes (64.3%) compared to any other jurisdiction, followed by City streets at 24.8%.
Commercial Vehicle Class
Distribution of heavy-vehicle crashes (When Vehicle 1 is a commerical vehicle) by vehicle type, including combination trucks, single-unit trucks, and bus categories.
What does this mean?
A bar chart showing commercial vehicle-involved crashes. Across all jurisdictions, combination trucks (tractor + trailer) had the largest share of crashes (48.8%). Single-unit trucks (box trucks, delivery vehicles) were second at 27.9%. Bus crashes were split into school and non-school categories (see school bus crashes tab to learn more).
| Metric | Value |
|---|
| Year | Crashes | Fatalities | Serious injuries |
|---|
| Class | Crashes | % |
|---|
School Bus
School Bus Crashes by Year
Annual trends in school-bus-involved crashes, fatalities, and serious injuries from 2014 through 2024.
What does this mean?
A time-series graph showing total school bus crashes by year (2014–2024). Across all jurisdictions, 2020 saw a sharp drop to 8 crashes, aligning with the school closures during COVID. There were only 2 fatalities across all years — one in 2016 and one in 2022 — and serious injuries remained low throughout (no more than 3 in any year).
Total Crashes
Fatalities
Serious Injuries
School Bus Crashes by Jurisdiction
Distribution of school-bus-involved crashes by jurisdiction.
What does this mean?
A bar chart showing school bus crashes by jurisdiction. Most school bus crashes (46.1%) occur on city streets aligning with where school buses spend most of their time on urban routes. State routes were second at 28.6%, followed by County roads at 24.1%.
School Bus Crash Severity
Severity distribution for school-bus-involved crashes.
What does this mean?
A bar chart showing school bus crash severity. Across all jurisdictions, about 79% of school bus crashes resulted in no physical injury but did involve property damage (PDO). The remainder were possible injury (14.4%), minor injury (4.53%), serious injury (1.23%), or fatal (0.41%) outcomes.
| Metric | Value |
|---|
| Year | Crashes | Fatalities | Serious injuries |
|---|