Yearly Traffic Safety Analysis

199 CRASHES IN
OHIO, OH
2021

In 2021, Monroe County recorded 199 traffic crashes, resulting in one fatality and 72 injuries. A notable characteristic of these incidents is the high proportion of single-vehicle crashes, which accounted for 61.3% of all collisions. Correspondingly, the most frequently cited contributing factor for drivers was 'Drove off Road,' which was noted for 63 vehicles involved in crashes during this period.

199

Total Crash Events

1

Persons Killed

72

Persons Injured

3.0%

Hit-and-Run Rate

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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

6

Hit-and-Run Crashes — 2021

During this period, six crashes were classified as hit-and-run incidents, accounting for 3% of all crashes in the county. This determination is based on the initial assessment by the responding law enforcement officer at the scene of the collision.

Vulnerable Road User Casualties

In 2021, one motorist was killed and 68 were injured in crashes. No fatalities were recorded for pedestrians or cyclists. However, four pedestrians sustained injuries. There were no recorded injuries or fatalities involving bicyclists.

0

Pedestrians Killed

1

Motorists Killed

4

Pedestrians Injured

68

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 frequencies peaked on Thursdays, which saw 33 incidents over the year. The single hour with the most crashes was from 1:00 PM to 1:59 PM, when 15 crashes occurred. Overall, a majority of collisions, 124 out of 199, happened during daylight hours.

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

Of the 199 total crashes, 69.3% (138 incidents) resulted in no injuries and were classified as property-damage-only. The remaining crashes involved injuries of varying severity, including one fatal crash. This single fatal incident resulted in one death.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.5%
Serious Injury9serious injury crashes4.5%
Minor Injury29minor injury crashes14.6%
Possible Injury22possible injury crashes11.1%
No Injury138no injury crashes69.3%

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 majority of crashes occurred in favorable conditions, with 60.3% (120 crashes) happening in clear weather and 63.8% (127 crashes) on dry road surfaces. Collisions during daylight hours accounted for 124 of the 199 total incidents. Adverse conditions included 32 crashes in the rain, 44 on wet roads, and 62 in dark or unlit conditions.

Weather

Clear120 (60.3%)
Rain32 (16.1%)
Cloudy24 (12.1%)
Snow15 (7.5%)
Other/Unknown4 (2.0%)
Fog; Smog; Smoke3 (1.5%)
Freezing Rain or Freezing Drizzle1 (0.5%)

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

Lighting

Daylight124 (62.3%)
Dark - Roadway Not Lighted53 (26.6%)
Dawn/Dusk9 (4.5%)
Dark - Lighted Roadway7 (3.5%)
Other/Unknown4 (2.0%)
Dark - Unknown Roadway Lighting2 (1.0%)

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

Road Surface

Dry127 (63.8%)
Wet44 (22.1%)
Snow14 (7.0%)
Ice7 (3.5%)
Sand; Mud; Dirt; Oil; Gravel3 (1.5%)
Slush3 (1.5%)
Other/Unknown1 (0.5%)

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

Vehicles & Demographics

Among the 346 people involved in crashes, the 26-34 age group was the most represented, with 59 individuals. The most common vehicle makes involved in these incidents were Ford (58 vehicles), Chevrolet (57 vehicles), and Honda (25 vehicles).

Top Vehicle Makes (288 vehicles)

1
FORD58 (20.1%)
2
CHEVROLET57 (19.8%)
3
HONDA25 (8.7%)
4
DODGE20 (6.9%)
5
TOYOTA16 (5.6%)
6
JEEP13 (4.5%)
7
PETERBILT9 (3.1%)
8
GMC8 (2.8%)
9
INTERNATIONAL7 (2.4%)
10
BUICK7 (2.4%)

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

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

Sex Distribution (340 persons with recorded sex)

Male225 (66.2%)
Female115 (33.8%)

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 first harmful event's location shows that 112 crashes, or 56.3%, occurred on the primary roadway. A significant portion of incidents were run-off-road events, with 38 crashes occurring on the shoulder and 31 on the roadside, together accounting for 34.7% of all crashes.

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

The vast majority of vehicles involved in crashes were at locations with no traffic control devices. Of the 288 vehicles involved in collisions, 245 were at locations with 'No Control'. In contrast, 22 vehicles were involved in crashes at signalized intersections and 17 at intersections with a stop sign.

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

The most common contributing factor attributed to drivers was 'Drove off Road,' cited for 63 vehicles. This was followed by 'Left of Center' (23 vehicles), 'Failure to Yield' (21 vehicles), and 'Following too Close / ACDA' (19 vehicles). Unsafe speed was a factor for 15 vehicles.

Driver Contributing Factor

1
Drove off Road63 (35.2%)
2
Left of Center23 (12.8%)
3
Failure to Yield21 (11.7%)
4
Following too Close / ACDA19 (10.6%)
5
Unsafe Speed15 (8.4%)
6
Other Improper Action9 (5%)
7
Swerving to Avoid7 (3.9%)
8
Improper Backing7 (3.9%)
9
Ran Red Light3 (1.7%)

Showing top 9 of 19 reported. 10 additional (12 total) not shown: Vision Obstruction, Operating Defective Equipment, Wrong Way, Improper Crossing, Improper Turn, Load shifting/Falling/Spilling, Lying in Roadway, Not Discernible, Opening Door into Roadway, Ran Stop Sign.

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 32 commercial vehicles were involved in crashes during this period. These included 15 semi-tractor trailers and 17 other types of commercial vehicles, such as single-unit trucks or cargo vans.

Vulnerable Road Users & Motorcycles

Crashes involved a total of 13 individuals classified as vulnerable road users or motorcyclists. This group included nine motorcyclists and four pedestrians. No bicyclists were involved in crashes during this period.

Impairment (Alcohol / Drugs)

Impairment was a factor in 19 crashes, representing 9.5% of the total. Of the drivers identified as impaired, 16 were under the influence of alcohol, two were under the influence of drugs, and one was noted to be under the influence of both alcohol and drugs.

Driver Condition

Beyond normal driving conditions, several driver states were recorded. Eight drivers were reported to have fallen asleep, fainted, or been fatigued, while 12 were noted as being under the influence of medications, drugs, or alcohol. Additionally, three drivers had a physical impairment and two were reported as being in an emotional state.

Driver Condition

1
Apparently Normal234 (88.6%)
2
Under the Influence of Medications / Drugs / Alcohol12 (4.5%)
3
Fell Asleep; Fainted; Fatigued; etc.8 (3%)
4
Other/Unknown4 (1.5%)
5
Physical Impairment3 (1.1%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)2 (0.8%)
7
Illness1 (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 the 274 drivers involved in crashes, 19 were noted as having a specific distraction. These included distractions from outside the vehicle (7 drivers), inside the vehicle (6 drivers), and various activities involving an electronic device (5 drivers).

Driver Distraction

1
Not Distracted222 (87.4%)
2
Other/Unknown13 (5.1%)
3
Other distraction outside the vehicle7 (2.8%)
4
Other distraction inside the vehicle6 (2.4%)
5
Manually operating an electronic communication device (texting; typing; dialing)2 (0.8%)
6
Other activity with an electronic device2 (0.8%)
7
Passenger1 (0.4%)
8
Talking on hand-held communication device1 (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

Road Alignment

Road geometry played a role in a significant number of crashes. Collisions on curves occurred in 75 instances (37.7% of all crashes), while 63 crashes (31.7%) occurred on a grade, either straight or curved.

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. The top three locations, Woodsfield (38 crashes), Salem (21 crashes), and Center (20 crashes), collectively accounted for 79 of the 199 total crashes, representing 39.7% of the county's incidents.

Top Cities

1
Woodsfield38 (19.1%)
2
Salem21 (10.6%)
3
Center20 (10.1%)
4
Lee14 (7%)
5
Malaga14 (7%)
6
Adams13 (6.5%)
7
Sunsbury11 (5.5%)
8
Ohio8 (4%)
9
Jackson8 (4%)

Showing top 9 of 24 reported. 15 additional (52 total) not shown: Seneca, Switzerland, Green, Wayne, Summit, Franklin, Clarington, Washington, Beallsville, Bethel, Benton, Sardis, Lewisville, Jerusalem, Graysville.

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 action drivers were taking just before a crash was driving straight ahead, which was the case for 141 of the 288 vehicles involved (49%). The second most frequent pre-crash action was negotiating a curve, involving 65 vehicles (22.6%).

Pre-Crash Driver Action

1
Straight Ahead141 (49%)
2
Negotiating a Curve65 (22.6%)
3
Making Left Turn23 (8%)
4
Slowing or Stopped In Traffic18 (6.3%)
5
Parked10 (3.5%)
6
Backing9 (3.1%)
7
Making Right Turn5 (1.7%)
8
Entering Traffic Lane4 (1.4%)
9
Walking; Running; Jogging; Playing3 (1%)

Showing top 9 of 14 reported. 5 additional (10 total) not shown: Driverless, Other/Unknown, Overtaking/Passing, Changing Lanes, 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 crashes were the predominant type of incident, with 122 crashes (61.3%) classified as 'Not Collision Between Two Vehicles in Transport'. The most common type of multi-vehicle crash was an angle collision, which occurred in 28 incidents (14.1%).

Manner of Collision

"Other" combines 1 smaller categories (2 records): Head-on (2).

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

Vehicle Type

Of the 288 vehicles involved in crashes, passenger cars were the most common type, accounting for 97 vehicles. Pick-up trucks (71 vehicles) and Sport Utility Vehicles (63 vehicles) were the next most frequent types involved.

Vehicle Type

"Other" combines 8 smaller categories (22 records): Cargo Van (4), Passenger Van (minivan) (4), Pedestrian/Skater (4), Animal with Rider or Animal Drawn Vehicle (3), Other Vehicle (3), Unknown or Hit/Skip (2), Farm Equipment (1), Bus (16+ Passengers) (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 346 people were involved in crashes, with drivers being the largest group at 274 individuals (79.2%). The remaining persons included 68 vehicle occupants (19.7%) and four pedestrians (1.2%).

Person Type

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

Person Injury Severity

Among the 346 people involved in crashes, 73 individuals (21.1%) were either injured or killed. This includes one fatality, 10 serious injuries, 36 minor injuries, and 26 possible injuries. The remaining 270 individuals were not injured.

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

Safety equipment usage was recorded for most participants. While 279 individuals used both a shoulder and lap belt, 27 people were documented as using no safety equipment at all. Another six motorcyclists were recorded as using a helmet.

Occupant Safety Equipment

"Other" combines 2 smaller categories (4 records): Child Restraint System - Forward Facing (3), Booster Seat (1).

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 majority of incidents were single-vehicle crashes, with 114 such events making up 57.3% of the total. Two-vehicle crashes were the next most common, with 81 incidents (40.7%). A small number of crashes, four in total, involved three vehicles.

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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 199
  • Total persons involved: 346
  • Total vehicles involved: 288

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 6, 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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Monroe County, OH Crash Report — 2021 | ThatCarHitMe.com