Yearly Traffic Safety Analysis

625 CRASHES IN
OHIO, OH
2021

In 2021, Champaign County recorded 625 traffic crashes, resulting in 11 fatalities and 239 injuries. These incidents occurred within a dataset that includes 1,019 vehicles and 1,252 individuals. A notable finding from the data is that over half of all collisions, 51 percent, did not involve a collision between two vehicles in transport, indicating a high frequency of single-vehicle incidents such as running off the road or striking a fixed object.

625

Total Crash Events

11

Persons Killed

239

Persons Injured

13.0%

Hit-and-Run Rate

Note: "Persons Killed" (11) counts individual fatalities across all crash events. "Fatal" in the severity table below (8) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Aggregate counts from crash, person, and vehicle records

81

Hit-and-Run Crashes — 2021

Based on initial officer determination, 81 crashes in 2021 were classified as hit-and-run incidents. This represents 13% of all crashes recorded in Champaign County during this period.

Vulnerable Road User Casualties

In 2021, all 11 traffic fatalities in Champaign County were motorists. A total of 238 motorists also sustained injuries. Among non-motorists, one pedestrian was injured. There were no recorded fatalities or injuries involving bicyclists during this period.

0

Pedestrians Killed

11

Motorists Killed

1

Pedestrians Injured

238

Motorists Injured

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash patterns in Champaign County show a distinct weekly and daily rhythm. Fridays were the most frequent day for crashes with 112 incidents, while the afternoon commute period saw the highest concentration, peaking at the 4 p.m. hour with 60 crashes. Overall, 389 crashes, or 62.2%, occurred during daylight hours, compared to 191 in dark conditions and 36 during dawn or dusk.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The majority of crashes, 458 out of 625, resulted in no injuries, accounting for 73.3% of all incidents. Crashes involving injuries (possible, minor, or serious) numbered 159, or 25.4% of the total. There were 8 fatal crashes, which resulted in a total of 11 individual fatalities, as a single crash can involve more than one death.

Severity is per crash event (most severe injury). 8 fatal crash events resulted in 11 persons killed.

Outcome by Severity (Crash Events)

Fatal8fatal crashes1.3%
Serious Injury24serious injury crashes3.8%
Minor Injury89minor injury crashes14.2%
Possible Injury46possible injury crashes7.4%
No Injury458no injury crashes73.3%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The predominant environmental conditions at the time of crashes were favorable. A significant majority of incidents occurred in clear weather (423 crashes, 67.7%) and on dry road surfaces (471 crashes, 75.4%). Crashes during daylight hours accounted for 389 incidents, or 62.2% of the total. Adverse conditions were less frequent, with 67 crashes occurring in rain and 110 on wet roads.

Weather

Clear423 (67.7%)
Cloudy100 (16.0%)
Rain67 (10.7%)
Snow19 (3.0%)
Other/Unknown8 (1.3%)
Freezing Rain or Freezing Drizzle4 (0.6%)
Fog; Smog; Smoke3 (0.5%)
Sleet; Hail1 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Weather condition at time of crash

Lighting

Daylight389 (62.2%)
Dark - Roadway Not Lighted143 (22.9%)
Dark - Lighted Roadway48 (7.7%)
Dawn/Dusk36 (5.8%)
Other/Unknown8 (1.3%)
Dark - Unknown Roadway Lighting1 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Lighting condition field

Road Surface

Dry471 (75.4%)
Wet110 (17.6%)
Snow21 (3.4%)
Ice16 (2.6%)
Other/Unknown6 (1.0%)
Slush1 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Road surface condition field

Vehicles & Demographics

Among the 1,252 people involved in crashes, the 26-34 age group was the most represented with 193 individuals, followed by the 16-20 age group with 174 people. Of the 1,019 vehicles involved, the most frequent makes were Chevrolet (183 vehicles), Ford (175 vehicles), and Honda (168 vehicles). These three makes collectively accounted for over half of the vehicles with a known make.

Top Vehicle Makes (1,019 vehicles)

1
CHEVROLET183 (18%)
2
FORD175 (17.2%)
3
HONDA168 (16.5%)
4
DODGE65 (6.4%)
5
TOYOTA51 (5%)
6
GMC38 (3.7%)
7
NISSAN28 (2.7%)
8
JEEP24 (2.4%)
9
HYUNDAI22 (2.2%)
10
CHRYSLER21 (2.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

58 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (1,221 persons with recorded sex)

Male706 (57.8%)
Female515 (42.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events

Crash Location (First Harmful Event)

Analysis of the initial impact location shows that 505 crashes, or 80.8% of the total, occurred on the main roadway. A notable portion of incidents were run-off-road events, with 73 crashes (11.7%) happening on the roadside and 33 (5.3%) on the shoulder. In total, at least 106 crashes, representing 17% of all incidents, had their first harmful event occur off the primary travel lanes.

Crash Location (First Harmful Event)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Traffic Control Device

Of the 1,019 vehicle units involved in crashes, a majority of 706 (69.3%) were at locations with no traffic controls. Locations with stop signs were associated with 142 vehicle involvements, while signalized intersections accounted for 128. Crashes at roundabouts involved 40 vehicles.

Traffic Control Device

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Driver Contributing Factor

Among driver-related actions cited as contributing factors, 'Failure to Yield' was the most common, noted for 132 vehicles. This was followed by 'Drove off Road' for 118 vehicles and 'Following too Close / ACDA' for 93 vehicles. These three factors represent the most frequently identified improper driving actions in the dataset.

Driver Contributing Factor

1
Failure to Yield132 (23.9%)
2
Drove off Road118 (21.4%)
3
Following too Close / ACDA93 (16.8%)
4
Other Improper Action53 (9.6%)
5
Left of Center24 (4.3%)
6
Improper Backing23 (4.2%)
7
Unsafe Speed20 (3.6%)
8
Ran Stop Sign18 (3.3%)
9
Improper Passing17 (3.1%)

Showing top 9 of 21 reported. 12 additional (54 total) not shown: Improper Turn, Swerving to Avoid, Improper Lane Change, Ran Red Light, Operating Defective Equipment, Not Discernible, Load shifting/Falling/Spilling, Opening Door into Roadway, Stopped or Parked Illegally, Lying in Roadway, Vision Obstruction, Wrong Way.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Commercial / Truck Involvement

A total of 35 commercial trucks were involved in crashes in 2021. These included 17 semi-tractor trailers and 18 other types of commercial vehicles, such as cargo vans or single-unit trucks.

Vulnerable Road Users & Motorcycles

In 2021, crashes involved a total of 18 individuals classified as vulnerable road users or motorcyclists. This group was composed of 12 motorcyclists, 3 bicyclists, and 3 pedestrians.

Animal-Involved Crashes

Crashes involving animals totaled 57 incidents in 2021. The vast majority of these, 54 crashes, were collisions with deer. An additional 3 crashes involved other, unspecified types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 55 crashes, representing 8.8% of all incidents in 2021. Alcohol was suspected in 39 of these crashes, drugs in 11, and a combination of alcohol and drugs in 5.

Driver Condition

Among the 940 drivers involved in crashes, 66 were noted as having a condition other than 'Apparently Normal'. The most common condition was being 'Under the Influence of Medications / Drugs / Alcohol', which was recorded for 36 drivers. An additional 14 drivers were reported to have fallen asleep or been fatigued, and 12 had a physical impairment.

Driver Condition

1
Apparently Normal796 (85.1%)
2
Other/Unknown73 (7.8%)
3
Under the Influence of Medications / Drugs / Alcohol36 (3.9%)
4
Fell Asleep; Fainted; Fatigued; etc.14 (1.5%)
5
Physical Impairment12 (1.3%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)4 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events

Driver Distraction

Among 940 drivers, 56 were identified as being distracted at the time of their crash. The most common sources of distraction were 'Other distraction inside the vehicle' with 21 drivers and 'Other distraction outside the vehicle' with 15 drivers. Manually operating an electronic communication device was cited for 8 drivers.

Driver Distraction

1
Not Distracted794 (84.7%)
2
Other/Unknown87 (9.3%)
3
Other distraction inside the vehicle21 (2.2%)
4
Other distraction outside the vehicle15 (1.6%)
5
Manually operating an electronic communication device (texting; typing; dialing)8 (0.9%)
6
Other activity with an electronic device6 (0.6%)
7
Passenger3 (0.3%)
8
Talking on hand-held communication device2 (0.2%)
9
Talking on hands-free communication device1 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events

Road Alignment

The majority of crashes (452 out of 625) occurred on straight and level road segments. However, roadway geometry played a role in a number of incidents, with 128 crashes (20.5%) occurring on a grade and 63 crashes (10.1%) taking place on a curve.

Road Alignment

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Top Cities

The geographic distribution of crashes across Champaign County was heavily concentrated in the City of Urbana, which accounted for 316 of the 625 total crashes (50.6%). The townships of Union and Mad River followed with 45 crashes (7.2%) and 42 crashes (6.7%), respectively.

Top Cities

1
Urbana316 (50.6%)
2
Union45 (7.2%)
3
Mad River42 (6.7%)
4
Salem37 (5.9%)
5
Goshen27 (4.3%)
6
Jackson26 (4.2%)
7
Rush25 (4%)
8
Concord23 (3.7%)
9
Johnson21 (3.4%)

Showing top 9 of 17 reported. 8 additional (63 total) not shown: Adams, Wayne, Mechanicsburg, Harrison, North Lewisburg, St. Paris, Christiansburg, Woodstock.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Pre-Crash Driver Action

Examining the actions of the 1,019 vehicles prior to collision, the most common maneuver was driving 'Straight Ahead', which was reported for 564 vehicles. A significant number of vehicles were 'Slowing or Stopped In Traffic' (103 vehicles) or 'Making Left Turn' (80 vehicles) just before the crash occurred.

Pre-Crash Driver Action

1
Straight Ahead564 (55.3%)
2
Slowing or Stopped In Traffic103 (10.1%)
3
Making Left Turn80 (7.9%)
4
Parked73 (7.2%)
5
Entering Traffic Lane37 (3.6%)
6
Negotiating a Curve36 (3.5%)
7
Making Right Turn33 (3.2%)
8
Backing31 (3%)
9
Leaving Traffic Lane19 (1.9%)

Showing top 9 of 16 reported. 7 additional (43 total) not shown: Overtaking/Passing, Other/Unknown, Changing Lanes, Driverless, Walking; Running; Jogging; Playing, Making U-Turn, Approaching or Leaving Vehicle.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Manner of Collision

Single-vehicle incidents were the most common crash type, with 'Not Collision Between Two Vehicles in Transport' accounting for 319 crashes, or 51% of the total. Among crashes involving multiple vehicles, angle collisions were the most frequent, with 121 incidents (19.4%), followed by rear-end collisions with 99 incidents (15.8%).

Manner of Collision

"Other" combines 2 smaller categories (7 records): Other/Unknown (6), Rear-to-rear (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 455 of the 1,019 vehicles. Sport Utility Vehicles (216 vehicles) and Pickups (195 vehicles) were also frequently involved. Combined, these three personal vehicle types represented 85.9% of all vehicles in crashes.

Vehicle Type

"Other" combines 11 smaller categories (53 records): Motorcycle 2 Wheeled (13), Other Vehicle (10), Van (9-15 Seats) (8), Single Unit Truck (6), Heavy Equipment (5), Bicycle (3), Pedestrian/Skater (3), Bus (16+ Passengers) (2), Motorcycle 3 Wheeled (1), Farm Equipment (1), Motorhome (1).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Vehicle unit records

Person Type

A total of 1,252 people were involved in traffic crashes. The majority of these individuals were drivers, accounting for 940 people or 75.1% of the total. Vehicle occupants (passengers) comprised another 309 people (24.7%), while 3 individuals were pedestrians.

Person Type

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Person Injury Severity

Of the 1,252 people involved in crashes, 997 individuals, or 79.6%, sustained no injuries. A total of 250 people were either injured or killed, representing 20% of all persons involved. This includes 11 fatalities, 36 serious injuries, 132 minor injuries, and 71 possible injuries.

Person Injury Severity

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Occupant Safety Equipment

Among the 1,252 individuals involved in crashes, 'Shoulder and Lap Belt Used' was the most reported safety equipment status, with 998 instances. However, 88 individuals were recorded as having used no safety equipment at all. An additional 5 individuals, likely motorcyclists, were noted as using a helmet.

Occupant Safety Equipment

"Other" combines 2 smaller categories (12 records): Lap Belt Only Used (7), Helmet Used (5).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Person-level records linked to crash events

Vehicles Per Crash

Two-vehicle collisions were the most common scenario, accounting for 345 of the 625 total crashes (55.2%). Single-vehicle crashes were also very frequent, with 256 incidents, making up 41% of the total. Crashes involving three or more vehicles were less common, with 24 such incidents recorded.

Vehicles Per Crash

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2021-01-01 to 2021-12-31 · Crash-level records

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from Ohio Crash Data (ODOT TIMS), accessed programmatically via the Csv Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Csv Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2021-01-01 through 2021-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 625
  • Total persons involved: 1,252
  • Total vehicles involved: 1,019

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "ohio, OH Crash Intelligence Report: 2021." Published July 5, 2026. Reporting period: 2021-01-01 to 2021-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2021-annual-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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Champaign County, OH Crash Report — 2021 | ThatCarHitMe.com