Yearly Traffic Safety Analysis

990 CRASHES IN
OHIO, OH
2021

In 2021, Madison County recorded 990 traffic crashes, resulting in 2 fatalities and 450 injuries. A significant portion of these incidents, 53.1%, did not involve a collision between two vehicles in transport, indicating a high frequency of single-vehicle events. Overall, 68.2% of all crashes resulted in no injuries, while 2 fatal crashes were recorded.

990

Total Crash Events

2

Persons Killed

450

Persons Injured

11.4%

Hit-and-Run Rate

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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

113

Hit-and-Run Crashes — 2021

Based on the initial determination of responding officers, 113 crashes in Madison County were classified as hit-and-run incidents. This represents 11.4% of all crashes recorded during this period. These figures account for crashes where at least one party left the scene unlawfully.

Vulnerable Road User Casualties

In 2021, motorists accounted for all fatalities and the vast majority of injuries in Madison County crashes. A total of 2 motorists were killed and 443 were injured. While no pedestrians or cyclists were killed, 7 pedestrians sustained injuries. No cyclists were reported as injured.

0

Pedestrians Killed

2

Motorists Killed

7

Pedestrians Injured

443

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 occurrences in Madison County peaked on Thursdays, with 167 incidents reported. The afternoon commute was the most frequent time for crashes, with the 3 p.m. and 5 p.m. hours each recording 79 crashes. Overall, crashes were most common in daylight, which accounted for 558 of the 990 total incidents.

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 in Madison County, 68.2% (675 incidents), resulted in no injuries. Injury-sustaining crashes accounted for 31.6% of the total, distributed among serious (4.5%), minor (16.3%), and possible injuries (10.8%). There were 2 fatal crashes, which resulted in a total of 2 fatalities.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.2%
Serious Injury45serious injury crashes4.5%
Minor Injury161minor injury crashes16.3%
Possible Injury107possible injury crashes10.8%
No Injury675no injury crashes68.2%

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 vast majority of crashes occurred in ideal driving conditions, with 75.9% of incidents happening on dry roads (751 crashes) and 58.3% in clear weather (577 crashes). Crashes during daylight hours accounted for 56.4% of the total (558 incidents). Adverse conditions were less frequent, with 83 crashes occurring in rain and 147 on wet road surfaces.

Weather

Clear577 (58.3%)
Cloudy226 (22.8%)
Rain83 (8.4%)
Snow72 (7.3%)
Fog; Smog; Smoke16 (1.6%)
Freezing Rain or Freezing Drizzle6 (0.6%)
Blowing Sand; Soil; Dirt; Snow3 (0.3%)
Sleet; Hail3 (0.3%)
Other/Unknown2 (0.2%)
Severe Crosswinds2 (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

Daylight558 (56.4%)
Dark - Roadway Not Lighted314 (31.7%)
Dawn/Dusk65 (6.6%)
Dark - Lighted Roadway49 (4.9%)
Dark - Unknown Roadway Lighting3 (0.3%)
Other/Unknown1 (0.1%)

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

Road Surface

Dry751 (75.9%)
Wet147 (14.8%)
Snow53 (5.4%)
Ice33 (3.3%)
Slush4 (0.4%)
Other/Unknown2 (0.2%)

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

Vehicles & Demographics

Analysis of the 2,074 persons involved in crashes shows the 26-34 age group was the most represented, with 333 individuals. Among the 1,575 vehicles involved, the most frequent makes were Ford (233 vehicles), Chevrolet (226 vehicles), and Honda (179 vehicles). Passenger Cars were the most common vehicle type, accounting for 684 units.

Top Vehicle Makes (1,575 vehicles)

1
FORD233 (14.8%)
2
CHEVROLET226 (14.3%)
3
HONDA179 (11.4%)
4
TOYOTA109 (6.9%)
5
DODGE85 (5.4%)
6
FREIGHTLINER72 (4.6%)
7
NISSAN61 (3.9%)
8
HYUNDAI59 (3.7%)
9
KIA47 (3%)
10
JEEP45 (2.9%)

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

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

Sex Distribution (1,977 persons with recorded sex)

Male1,241 (62.8%)
Female736 (37.2%)

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)

The initial harmful event in 665 crashes (67.2%) occurred on the roadway. A notable portion of incidents, 286 crashes or 28.9%, were run-off-road events where the first impact happened on the roadside (161), shoulder (90), or in the median (35).

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (4 records): On Gore (2), Off ramp (1), Railway grade crossing (1).

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

Traffic Control Device

The majority of vehicles involved in crashes were at locations with no traffic control device, accounting for 1,262 units. Crashes at locations with traffic signals involved 140 vehicles, while those at stop signs involved 146 vehicles. Locations with roundabouts were associated with 7 vehicles in crashes.

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 contributing factors, 'Drove off Road' was the most frequently cited, attributed to 232 units. This was followed by 'Following too Close / ACDA' with 137 citations and 'Failure to Yield' with 111. 'Unsafe Speed' (64) and 'Improper Lane Change' (61) were also commonly recorded factors.

Driver Contributing Factor

1
Drove off Road232 (27%)
2
Following too Close / ACDA137 (15.9%)
3
Failure to Yield111 (12.9%)
4
Unsafe Speed64 (7.4%)
5
Improper Lane Change61 (7.1%)
6
Other Improper Action44 (5.1%)
7
Swerving to Avoid32 (3.7%)
8
Left of Center28 (3.3%)
9
Operating Defective Equipment25 (2.9%)

Showing top 9 of 21 reported. 12 additional (126 total) not shown: Not Discernible, Improper Backing, Ran Stop Sign, Ran Red Light, Improper Turn, Load shifting/Falling/Spilling, Improper Passing, Stopped or Parked Illegally, Vision Obstruction, Wrong Way, Improper Start From a Parked Position, Improper Crossing.

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

Commercial / Truck Involvement

Crashes involving commercial trucks were documented in at least 177 incidents in Madison County. Of these, 143 involved a semi-tractor trailer, while 34 involved other types of commercial vehicles. This represents a significant category, with semi-tractors alone accounting for 160 of all vehicles in crashes.

Vulnerable Road Users & Motorcycles

A total of 20 crashes involved vulnerable road users or motorcyclists. This included 13 crashes with motorcyclists, 6 with pedestrians, and 1 with a bicyclist. Combined, crashes involving pedestrians and bicyclists, the most vulnerable road users, totaled 7 incidents.

Animal-Involved Crashes

Collisions with animals were a factor in 73 crashes, representing 7.4% of the total incidents in the county. The vast majority of these, 71 crashes, involved deer. Collisions with other animals were recorded in just 2 incidents.

Impairment (Alcohol / Drugs)

Impairment was a suspected factor in 89 crashes, accounting for 9.0% of all incidents. Among these, alcohol was the sole factor in 47 cases, drugs were the sole factor in 28 cases, and a combination of alcohol and drugs was suspected in 14 cases. These figures represent a minimum, as impairment can be under-reported.

Driver Condition

Beyond normal driving conditions, several driver conditions were noted among the 1,500 drivers involved in crashes. Being 'Under the Influence of Medications / Drugs / Alcohol' was recorded for 65 drivers. Additionally, 29 drivers were noted as having 'Fell Asleep; Fainted; Fatigued,' while physical impairment or illness was cited for a combined 19 drivers.

Driver Condition

1
Apparently Normal1,281 (87.3%)
2
Other/Unknown67 (4.6%)
3
Under the Influence of Medications / Drugs / Alcohol65 (4.4%)
4
Fell Asleep; Fainted; Fatigued; etc.29 (2%)
5
Physical Impairment10 (0.7%)
6
Illness9 (0.6%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)6 (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

Driver distraction was identified as a factor for at least 90 drivers. The most common issues were general distractions from inside the vehicle (32 drivers) or outside the vehicle (25 drivers). Electronic device use was a factor for at least 25 drivers, including 15 who were manually operating a device like texting or dialing.

Driver Distraction

1
Not Distracted1,288 (88.6%)
2
Other/Unknown75 (5.2%)
3
Other distraction inside the vehicle32 (2.2%)
4
Other distraction outside the vehicle25 (1.7%)
5
Manually operating an electronic communication device (texting; typing; dialing)15 (1%)
6
Other activity with an electronic device8 (0.6%)
7
Passenger8 (0.6%)
8
Talking on hand-held communication device2 (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

While most crashes (745) occurred on straight, level sections of road, road geometry was a factor in a notable number of incidents. Crashes on curves accounted for 116 incidents (11.7% of total), while crashes on grades accounted for 178 incidents (18.0%). Specifically, 51 crashes occurred on roads that were both curved and graded.

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 was concentrated in a few key areas of the county. The township of Jefferson saw the highest volume with 193 crashes, representing 19.5% of the county's total. Deer Creek township followed with 163 crashes (16.5%), and the city of London had 97 crashes (9.8%).

Top Cities

1
Jefferson193 (19.5%)
2
Deer Creek163 (16.5%)
3
London97 (9.8%)
4
Somerford95 (9.6%)
5
Pleasant82 (8.3%)
6
Range65 (6.6%)
7
Canaan56 (5.7%)
8
Darby41 (4.1%)
9
Union38 (3.8%)

Showing top 9 of 21 reported. 12 additional (160 total) not shown: West Jefferson, Plain City, Fairfield, Mount Sterling, Paint, Oak Run, Monroe, Pike, Stokes, Madison, South Solon, Lafayette.

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

Pre-Crash Driver Action

The most common pre-crash action for vehicles was 'Straight Ahead,' accounting for 992 of the 1,575 vehicles involved (63.0%). The second most frequent action was 'Slowing or Stopped In Traffic,' which was the status of 160 vehicles (10.2%) prior to collision. 'Making Left Turn' was the third most common maneuver, recorded for 84 vehicles.

Pre-Crash Driver Action

1
Straight Ahead992 (63%)
2
Slowing or Stopped In Traffic160 (10.2%)
3
Making Left Turn84 (5.3%)
4
Negotiating a Curve83 (5.3%)
5
Parked65 (4.1%)
6
Changing Lanes56 (3.6%)
7
Making Right Turn35 (2.2%)
8
Backing32 (2%)
9
Entering Traffic Lane16 (1%)

Showing top 9 of 17 reported. 8 additional (52 total) not shown: Leaving Traffic Lane, Other/Unknown, Overtaking/Passing, Driverless, Walking; Running; Jogging; Playing, Standing, Other Non-Motorist, Making U-Turn.

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

Manner of Collision

The most common type of crash was a single-vehicle event, categorized as 'Not Collision Between Two Vehicles in Transport,' which accounted for 526 incidents or 53.1% of all crashes. Among multi-vehicle crashes, angle collisions were the most frequent type with 169 incidents (17.1%), followed closely by rear-end collisions with 158 incidents (16.0%).

Manner of Collision

"Other" combines 2 smaller categories (10 records): Other/Unknown (9), 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, with 684 units making up 43.4% of the total. Sport Utility Vehicles (317 units) and Pick-up trucks (226 units) were the next most frequent. Commercial vehicles were also notable, including 160 semi-tractors and 33 single-unit trucks.

Vehicle Type

"Other" combines 11 smaller categories (71 records): Cargo Van (23), Motorcycle 2 Wheeled (15), Other Vehicle (9), Farm Equipment (7), Pedestrian/Skater (7), Van (9-15 Seats) (3), Motorhome (2), All Terrain Vehicle (ATV/UTV) (2), Heavy Equipment (1), Bus (16+ Passengers) (1), Bicycle (1).

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

Person Type

Of the 2,074 people involved in crashes, the vast majority were drivers, accounting for 1,500 individuals (72.3%). Passengers (occupants) made up the next largest group with 567 individuals (27.3%). A small fraction, 7 individuals (0.3%), 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

Examining the outcomes for all 2,074 individuals involved, 1,576 people (76.0%) sustained no injuries. A total of 452 people were either injured or killed, representing 21.8% of all persons involved. This includes 2 fatalities, 57 serious injuries, 230 minor injuries, and 163 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 2,074 people involved in crashes, 1,662 were reported as using a shoulder and lap belt. A total of 156 individuals, or 7.5% of all participants, were recorded as using no safety equipment at all. An additional 75 individuals were using child restraint systems of various types.

Occupant Safety Equipment

"Other" combines 2 smaller categories (16 records): Lap Belt Only Used (9), Helmet Used (7).

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

The crashes were almost evenly split between single-vehicle and two-vehicle incidents. Single-vehicle crashes accounted for 471 events (47.6% of the total), while two-vehicle crashes accounted for 466 events (47.1%). Crashes involving three or more units were less common, comprising only 5.3% of the total.

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: 990
  • Total persons involved: 2,074
  • Total vehicles involved: 1,575

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