Yearly Traffic Safety Analysis

848 CRASHES IN
OHIO, OH
2021

In 2021, Morrow County recorded 848 traffic crashes, resulting in 7 fatalities and 359 injuries. A significant majority of these incidents, 62.3% (528 crashes), were single-vehicle events not involving a collision with another vehicle in transport. This indicates that run-off-road or fixed-object collisions are the predominant crash pattern in the county.

848

Total Crash Events

7

Persons Killed

359

Persons Injured

9.3%

Hit-and-Run Rate

Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) 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

79

Hit-and-Run Crashes — 2021

In 2021, 79 crashes in Morrow County were classified as hit-and-run incidents, accounting for 9.3% of all crashes. This determination is based on the initial report from the responding law enforcement officer at the scene.

Vulnerable Road User Casualties

In 2021, vehicle occupants (motorists) accounted for the vast majority of casualties, with 6 killed and 354 injured. One pedestrian was killed and five were injured in crashes during the same period. No cyclists were reported killed or injured in Morrow County.

1

Pedestrians Killed

6

Motorists Killed

5

Pedestrians Injured

354

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

Crashes in Morrow County occurred most frequently on Fridays, with 134 incidents recorded in 2021. The single busiest hour for crashes was the 5 p.m. hour, which saw 73 events, indicating a strong correlation with the evening commute. Overall, more crashes happened during daylight hours (491) than during dark or low-light conditions (352).

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, 71.6% (607 incidents), resulted in no injuries. Injury-related crashes accounted for 27.5% of the total, comprising 30 serious injury, 168 minor injury, and 36 possible injury events. There were 7 fatal crashes, which resulted in 7 fatalities during this period.

Outcome by Severity (Crash Events)

Fatal7fatal crashes0.8%
Serious Injury30serious injury crashes3.5%
Minor Injury168minor injury crashes19.8%
Possible Injury36possible injury crashes4.2%
No Injury607no injury crashes71.6%

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 ideal driving conditions, with 60.0% happening in clear weather and 74.6% on dry road surfaces. Over half of all incidents (57.9%) took place during daylight hours. Crashes in adverse weather included 114 in rain and 37 in snow, while 169 crashes occurred on wet roads.

Weather

Clear509 (60.0%)
Cloudy176 (20.8%)
Rain114 (13.4%)
Snow37 (4.4%)
Fog; Smog; Smoke6 (0.7%)
Severe Crosswinds2 (0.2%)
Sleet; Hail2 (0.2%)
Other/Unknown1 (0.1%)
Freezing Rain or Freezing Drizzle1 (0.1%)

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

Lighting

Daylight491 (57.9%)
Dark - Roadway Not Lighted290 (34.2%)
Dawn/Dusk43 (5.1%)
Dark - Lighted Roadway19 (2.2%)
Dark - Unknown Roadway Lighting3 (0.4%)
Other/Unknown2 (0.2%)

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

Road Surface

Dry633 (74.6%)
Wet169 (19.9%)
Snow31 (3.7%)
Ice10 (1.2%)
Slush3 (0.4%)
Sand; Mud; Dirt; Oil; Gravel1 (0.1%)
Other/Unknown1 (0.1%)

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

Vehicles & Demographics

Among the 1,711 people involved in crashes, the 26-34 age group was the most represented with 275 individuals, followed by the 35-44 age group (246 people). Of the 1,220 vehicles involved, the most frequent makes were Chevrolet (224 vehicles), Ford (179 vehicles), and Honda (115 vehicles).

Top Vehicle Makes (1,220 vehicles)

1
CHEVROLET224 (18.4%)
2
FORD179 (14.7%)
3
HONDA115 (9.4%)
4
TOYOTA109 (8.9%)
5
DODGE63 (5.2%)
6
JEEP51 (4.2%)
7
NISSAN44 (3.6%)
8
KIA41 (3.4%)
9
HYUNDAI35 (2.9%)
10
GMC32 (2.6%)

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

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

Sex Distribution (1,663 persons with recorded sex)

Male963 (57.9%)
Female700 (42.1%)

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 569 crashes (67.1%) occurred on the primary roadway. A notable portion of incidents, totaling 254 crashes or 29.9%, were classified as run-off-road events, with the first impact occurring on the roadside (205), in the median (26), or on the shoulder (23).

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (5 records): On ramp (2), Driveway/Alley access (2), On Gore (1).

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, 86.5% (1,056 vehicles), were at locations with no traffic control devices present. Crashes at intersections with stop signs involved 91 vehicles (7.5% of the total), while those at signalized intersections involved 65 vehicles (5.3%).

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

Analysis of contributing factors indicates that driving off the road was the most common circumstance, cited for 201 vehicles. This was followed by failure to yield (94 vehicles), following too closely (92 vehicles), and unsafe speed (62 vehicles). These top four factors collectively accounted for the actions of 449 vehicles involved in crashes.

Driver Contributing Factor

1
Drove off Road201 (30.8%)
2
Failure to Yield94 (14.4%)
3
Following too Close / ACDA92 (14.1%)
4
Unsafe Speed62 (9.5%)
5
Improper Lane Change33 (5.1%)
6
Left of Center29 (4.4%)
7
Improper Passing24 (3.7%)
8
Other Improper Action21 (3.2%)
9
Improper Backing20 (3.1%)

Showing top 9 of 21 reported. 12 additional (76 total) not shown: Swerving to Avoid, Operating Defective Equipment, Ran Stop Sign, Not Discernible, Improper Turn, Ran Red Light, Improper Crossing, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Vision Obstruction, Wrong Way, Stopped or Parked Illegally.

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

Commercial / Truck Involvement

Commercial trucks were involved in 74 crashes, representing 8.7% of all incidents in 2021. Of these, 59 crashes involved a semi-tractor trailer, while the remaining 15 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

Crashes involved 18 non-occupants, including 12 motorcyclists and 6 pedestrians. These vulnerable road user incidents, which often carry a higher risk of severe injury, accounted for a small fraction of total crashes. No crashes involving bicyclists were recorded.

Animal-Involved Crashes

Animal-related collisions were a significant factor, accounting for 180 incidents or 21.2% of all crashes in 2021. The vast majority of these, 175 crashes, involved collisions with deer. An additional 5 crashes were attributed to collisions with other animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 52 crashes, representing 6.1% of the total for the year. Among these, alcohol was suspected in 37 incidents, drugs in 8 incidents, and a combination of alcohol and drugs in 7 incidents. These figures represent a minimum, as impairment may be under-reported.

Driver Condition

Among 1,199 drivers with a reported condition, 74 were noted as having a condition other than 'apparently normal'. This includes 49 drivers believed to be under the influence of alcohol, drugs, or medication, and 14 drivers who reportedly fell asleep, fainted, or were fatigued. An additional 5 drivers were noted for illness and 5 for a physical impairment.

Driver Condition

1
Apparently Normal1,064 (89.5%)
2
Other/Unknown51 (4.3%)
3
Under the Influence of Medications / Drugs / Alcohol49 (4.1%)
4
Fell Asleep; Fainted; Fatigued; etc.14 (1.2%)
5
Illness5 (0.4%)
6
Physical Impairment5 (0.4%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)1 (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

Driver Distraction

Driver distraction was identified as a factor for 57 drivers involved in crashes. The most common issues were unspecified distractions inside the vehicle (23 drivers) and distractions related to electronic devices, including manual operation like texting (9 drivers) and other electronic device activity (8 drivers).

Driver Distraction

1
Not Distracted1,076 (91%)
2
Other/Unknown49 (4.1%)
3
Other distraction inside the vehicle23 (1.9%)
4
Manually operating an electronic communication device (texting; typing; dialing)9 (0.8%)
5
Other activity with an electronic device8 (0.7%)
6
Other distraction outside the vehicle7 (0.6%)
7
Talking on hand-held communication device4 (0.3%)
8
Passenger3 (0.3%)
9
Talking on hands-free communication device3 (0.3%)

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 occurred on straight road segments, with 556 on level roads and 232 on grades. Crashes on curves accounted for 58 incidents (6.8% of total), while 248 crashes (29.2%) occurred on a grade, whether 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 several townships, with Bennington having the highest volume at 162 crashes. Franklin township followed with 103 crashes, and Harmony township recorded 64. Together, these three areas accounted for 38.8% of all crashes in the county.

Top Cities

1
Bennington162 (19.1%)
2
Franklin103 (12.1%)
3
Harmony64 (7.5%)
4
Gilead55 (6.5%)
5
Peru49 (5.8%)
6
Congress45 (5.3%)
7
Mount Gilead44 (5.2%)
8
Lincoln41 (4.8%)
9
Perry40 (4.7%)

Showing top 9 of 23 reported. 14 additional (245 total) not shown: Chester, Troy, North Bloomfield, Washington, South Bloomfield, Cardington, Westfield, Canaan, Edison, Chesterville, Iberia, Fulton, Marengo, Sparta.

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 driving straight ahead, which was reported for 870 vehicles (71.3% of total). Other frequent actions included slowing or stopping in traffic (82 vehicles) and making a left turn (76 vehicles).

Pre-Crash Driver Action

1
Straight Ahead870 (71.3%)
2
Slowing or Stopped In Traffic82 (6.7%)
3
Making Left Turn76 (6.2%)
4
Changing Lanes32 (2.6%)
5
Negotiating a Curve32 (2.6%)
6
Overtaking/Passing29 (2.4%)
7
Making Right Turn27 (2.2%)
8
Backing26 (2.1%)
9
Parked13 (1.1%)

Showing top 9 of 18 reported. 9 additional (33 total) not shown: Other/Unknown, Entering Traffic Lane, Driverless, Leaving Traffic Lane, Walking; Running; Jogging; Playing, Entering or Crossing Specified Location, Standing, Standing Outside Disabled Vehicle, 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

Single-vehicle crashes were the predominant type, with 528 incidents (62.3%) classified as "Not Collision Between Two Vehicles in Transport." Among multi-vehicle crashes, angle collisions were the most common, accounting for 127 incidents (15.0%), followed by rear-end collisions at 83 incidents (9.8%).

Manner of Collision

"Other" combines 2 smaller categories (4 records): Other/Unknown (3), 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 509 of the 1,220 vehicles (41.7%). Sport Utility Vehicles (298) and Pick-up trucks (214) were also frequently involved. Commercial vehicles, including semi-tractors and other trucks, comprised 8.6% of the vehicles in crashes.

Vehicle Type

"Other" combines 12 smaller categories (45 records): Motorcycle 2 Wheeled (12), Unknown or Hit/Skip (8), Pedestrian/Skater (7), All Terrain Vehicle (ATV/UTV) (5), Van (9-15 Seats) (3), Heavy Equipment (2), Other Vehicle (2), Animal with Rider or Animal Drawn Vehicle (2), Bus (16+ Passengers) (1), Farm Equipment (1), Motorhome (1), Motorcycle 3 Wheeled (1).

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

Person Type

Of the 1,711 individuals involved in crashes, the majority were drivers, accounting for 1,199 people (70.1%). Vehicle occupants (passengers) made up the next largest group with 505 individuals (29.5%). A total of 7 pedestrians were also involved in these incidents.

Person Type

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

Person Injury Severity

Across all 1,711 people involved in crashes, 1,315 (76.8%) sustained no injuries. A total of 366 individuals were either injured or killed, representing 21.4% of all participants. This included 7 fatalities, 39 serious injuries, 264 minor injuries, and 56 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

Safety equipment usage was reported for most vehicle occupants, with 1,424 individuals using a shoulder and lap belt. However, 88 people were recorded as using no safety equipment at all. An additional 84 individuals were in some form of child restraint, including forward-facing seats, rear-facing seats, or booster seats.

Occupant Safety Equipment

"Other" combines 2 smaller categories (15 records): Shoulder Belt Only Used (12), Helmet Used (3).

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

A majority of the incidents, 499 crashes or 58.8%, involved only a single vehicle. Two-vehicle collisions were also common, accounting for 329 crashes (38.8%). Multi-vehicle incidents involving three or more vehicles were less frequent, with 17 three-vehicle crashes and 3 four-vehicle crashes 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 6, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 848
  • Total persons involved: 1,711
  • Total vehicles involved: 1,220

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