Yearly Traffic Safety Analysis

466 CRASHES IN
OHIO, OH
2021

In 2021, Putnam County recorded 466 traffic crashes, resulting in 7 fatalities and 72 injuries. A significant and notable characteristic of these incidents was the high frequency of animal-related collisions. Crashes involving animals, primarily deer, accounted for 185 incidents, representing nearly 40% of all crashes in the county.

466

Total Crash Events

7

Persons Killed

72

Persons Injured

3.9%

Hit-and-Run Rate

Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) 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

18

Hit-and-Run Crashes — 2021

During this period, 18 crashes were classified as hit-and-run incidents, accounting for 3.9% of all crashes in the county. This classification is based on the responding officer's determination at the scene of the collision. These incidents involved a driver leaving the scene without providing required information or rendering aid.

Vulnerable Road User Casualties

Motorists comprised the entirety of the 7 fatalities and the vast majority of injuries, with 69 motorists injured in crashes. While no pedestrians were killed, 3 sustained injuries. No bicyclists were reported as either killed or injured during this period.

0

Pedestrians Killed

7

Motorists Killed

3

Pedestrians Injured

69

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 occurred most frequently on Wednesdays and Fridays, with each day recording 75 incidents. The data reveals distinct peaks during morning and evening commute times, with the hours of 6 a.m. and 5 p.m. each seeing 34 crashes. Notably, crashes were almost evenly split between daylight hours (200 crashes) and dark conditions, with 199 crashes occurring on unlighted roadways at night.

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 vast majority of crashes, 399 out of 466 (85.6%), resulted in no injuries and were property-damage-only events. The remaining incidents involved some level of injury, ranging from possible to fatal. There were 6 fatal crashes recorded, which resulted in a total of 7 fatalities, indicating at least one crash involved multiple deaths.

Severity is per crash event (most severe injury). 6 fatal crash events resulted in 7 persons killed.

Outcome by Severity (Crash Events)

Fatal6fatal crashes1.3%
Serious Injury9serious injury crashes1.9%
Minor Injury36minor injury crashes7.7%
Possible Injury16possible injury crashes3.4%
No Injury399no injury crashes85.6%

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 favorable conditions, with 65.2% happening in clear weather and 81.8% on dry road surfaces. In contrast to weather and road conditions, lighting played a more complex role. Crashes were nearly evenly divided between daylight hours (200 incidents) and dark conditions (234 incidents), with a substantial number of crashes (199) occurring on dark, unlighted roadways.

Weather

Clear304 (65.2%)
Cloudy104 (22.3%)
Rain29 (6.2%)
Snow16 (3.4%)
Fog; Smog; Smoke4 (0.9%)
Other/Unknown2 (0.4%)
Freezing Rain or Freezing Drizzle2 (0.4%)
Blowing Sand; Soil; Dirt; Snow2 (0.4%)
Severe Crosswinds2 (0.4%)
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

Daylight200 (42.9%)
Dark - Roadway Not Lighted199 (42.7%)
Dawn/Dusk33 (7.1%)
Dark - Lighted Roadway32 (6.9%)
Dark - Unknown Roadway Lighting2 (0.4%)

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

Road Surface

Dry381 (81.8%)
Wet49 (10.5%)
Snow19 (4.1%)
Ice15 (3.2%)
Slush2 (0.4%)

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

Vehicles & Demographics

Among the 764 people involved in crashes, the 16-20 age group was the most represented, with 145 individuals. The next most frequent age brackets were 26-34 years (119 people) and 35-44 years (112 people). The vehicle makes most frequently involved in these incidents were Chevrolet with 167 vehicles, Ford with 102 vehicles, and Dodge with 40 vehicles.

Top Vehicle Makes (644 vehicles)

1
CHEVROLET167 (25.9%)
2
FORD102 (15.8%)
3
DODGE40 (6.2%)
4
GMC37 (5.7%)
5
HONDA35 (5.4%)
6
CHRYSLER34 (5.3%)
7
BUICK26 (4%)
8
TOYOTA20 (3.1%)
9
PONTIAC19 (3%)
10
JEEP19 (3%)

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

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

Sex Distribution (741 persons with recorded sex)

Male452 (61.0%)
Female289 (39.0%)

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 majority of crashes, 358 out of 466, had their first harmful event occur directly on the roadway. However, a notable 102 crashes (21.9%) were run-off-road events. These incidents involved the first harmful event taking place on the roadside (69 crashes), shoulder (22 crashes), or otherwise outside the designated trafficway.

Crash Location (First Harmful Event)

"Other" combines 1 smaller categories (1 records): Crossover (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 were at locations with no traffic control device present, accounting for 519 of the 644 vehicles with this data recorded. For crashes occurring at controlled intersections, those with stop signs involved 73 vehicles, while those at intersections with traffic signals involved 46 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

The most common driver action contributing to a crash was 'Failure to Yield,' which was cited for 64 drivers. The second most frequent factor was 'Drove off Road,' attributed to 51 drivers. This was followed by 'Following too Close / ACDA' (Assured Clear Distance Ahead), which was a factor for 44 drivers.

Driver Contributing Factor

1
Failure to Yield64 (24.8%)
2
Drove off Road51 (19.8%)
3
Following too Close / ACDA44 (17.1%)
4
Other Improper Action25 (9.7%)
5
Unsafe Speed17 (6.6%)
6
Improper Backing15 (5.8%)
7
Swerving to Avoid10 (3.9%)
8
Left of Center6 (2.3%)
9
Improper Turn6 (2.3%)

Showing top 9 of 16 reported. 7 additional (20 total) not shown: Ran Stop Sign, Ran Red Light, Improper Passing, Operating Defective Equipment, Improper Lane Change, Stopped or Parked Illegally, Not Discernible.

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 28 commercial vehicles were involved in crashes during this period. Of these, 17 were identified as semi-tractor-trailers. The remaining 11 were classified as other types of commercial vehicles, such as single-unit trucks or cargo vans.

Animal-Involved Crashes

Collisions with animals were a major factor in Putnam County, accounting for 185 crashes, or 39.7% of the total. The overwhelming majority of these incidents, 173 crashes, were strikes involving deer. An additional 12 crashes were attributed to collisions with other, unspecified types of animals.

Impairment (Alcohol / Drugs)

Impairment was identified as a contributing factor in 17 crashes, representing 3.6% of all incidents. Alcohol was the suspected impairing substance in 16 of these cases, with drugs suspected in one case. These figures should be considered a minimum, as impairment can be difficult to detect and is often under-reported in crash data.

Driver Condition

Among drivers for whom a condition other than 'Apparently Normal' was noted, several adverse states were recorded. Fourteen drivers were identified as being under the influence of medications, drugs, or alcohol. Additionally, 13 drivers were reported as having fallen asleep, fainted, or being fatigued at the time of the crash.

Driver Condition

1
Apparently Normal552 (92.9%)
2
Under the Influence of Medications / Drugs / Alcohol14 (2.4%)
3
Fell Asleep; Fainted; Fatigued; etc.13 (2.2%)
4
Other/Unknown12 (2%)
5
Physical Impairment2 (0.3%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)1 (0.2%)

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 595 drivers with distraction data, 24 were noted as being distracted by a specific activity. The most common sources of distraction were related to events or objects outside the vehicle (9 drivers) and other distractions inside the vehicle (7 drivers). Electronic device use was specified for 6 drivers, including 4 who were manually operating a device like a phone.

Driver Distraction

1
Not Distracted552 (92.8%)
2
Other/Unknown19 (3.2%)
3
Other distraction outside the vehicle9 (1.5%)
4
Other distraction inside the vehicle7 (1.2%)
5
Manually operating an electronic communication device (texting; typing; dialing)4 (0.7%)
6
Passenger2 (0.3%)
7
Other activity with an electronic device1 (0.2%)
8
Talking on hand-held communication device1 (0.2%)

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 the majority of crashes (392) occurred on straight and level road segments, roadway geometry was a factor in a notable portion of incidents. A total of 45 crashes, or 9.7% of the total, occurred on curves. Additionally, 41 crashes (8.8%) took place on roadways with a grade.

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 key townships. The township of Ottawa saw the highest number of incidents with 92 crashes, representing 19.7% of the county's total. Following Ottawa were Monroe with 34 crashes and Palmer with 33 crashes.

Top Cities

1
Ottawa92 (19.7%)
2
Monroe34 (7.3%)
3
Palmer33 (7.1%)
4
Leipsic29 (6.2%)
5
Riley28 (6%)
6
Pleasant25 (5.4%)
7
Columbus Grove22 (4.7%)
8
Jennings22 (4.7%)
9
Union21 (4.5%)

Showing top 9 of 24 reported. 15 additional (160 total) not shown: Liberty, Blanchard, Greensburg, Jackson, Sugar Creek, Perry, Van Buren, Monterey, Kalida, Glandorf, Ottoville, Fort Jennings, Pandora, Miller City, Continental.

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

Pre-Crash Driver Action

An analysis of vehicle actions immediately prior to collision shows that the vast majority, 495 of 644 vehicles (76.9%), were proceeding straight ahead. Other notable pre-crash movements included making a left turn, which was the action for 33 vehicles, and backing, which was recorded for 26 vehicles.

Pre-Crash Driver Action

1
Straight Ahead495 (76.9%)
2
Making Left Turn33 (5.1%)
3
Parked27 (4.2%)
4
Backing26 (4%)
5
Negotiating a Curve20 (3.1%)
6
Slowing or Stopped In Traffic15 (2.3%)
7
Making Right Turn13 (2%)
8
Overtaking/Passing6 (0.9%)
9
Entering Traffic Lane2 (0.3%)

Showing top 9 of 15 reported. 6 additional (7 total) not shown: Driverless, Walking; Running; Jogging; Playing, Changing Lanes, Leaving Traffic Lane, Standing, 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 dominant collision type, categorized as 'Not Collision Between Two Vehicles in Transport'. These events accounted for 310 of the 466 total crashes, or 66.5% of all incidents. Among crashes involving multiple vehicles, angle collisions were the most frequent type with 60 occurrences, followed by 40 rear-end collisions.

Manner of Collision

"Other" combines 1 smaller categories (7 records): Head-on (7).

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 type of vehicle involved in crashes, accounting for 290 of the 644 total units (45.0%). Light trucks were also heavily represented, with 134 Sport Utility Vehicles and 114 Pickups involved. A total of 29 commercial vehicles, including 19 semi-tractors, were also involved in collisions.

Vehicle Type

"Other" combines 10 smaller categories (24 records): Motorcycle 2 Wheeled (6), Single Unit Truck (5), Pedestrian/Skater (3), Cargo Van (3), Bus (16+ Passengers) (2), Van (9-15 Seats) (1), Farm Equipment (1), Heavy Equipment (1), Train (1), All Terrain Vehicle (ATV/UTV) (1).

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

Person Type

Of the 764 people involved in traffic crashes, the majority were drivers, accounting for 608 individuals (79.6%). Vehicle occupants, or passengers, constituted the next largest group with 153 individuals (20.0%). Three pedestrians were also involved in crashes during this period.

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 764 individuals involved in crashes, 7 sustained fatal injuries and 72 sustained non-fatal injuries. This group of 72 injured persons included 9 with serious injuries, 43 with minor injuries, and 20 with possible injuries. The vast majority of people involved, 677 individuals, were not physically 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 high, with 663 vehicle occupants reported as using a shoulder and lap belt. However, 49 individuals were recorded as using no safety equipment at the time of their crash, representing 6.5% of persons for whom this data was available. An additional 19 children were secured in various types of child restraint systems.

Occupant Safety Equipment

"Other" combines 3 smaller categories (5 records): Booster Seat (3), Helmet Used (1), Reflective Clothing (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

Single-vehicle crashes were the most common incident type, accounting for 294 of the 466 total crashes (63.1%). Collisions involving two vehicles were the next most frequent, with 166 occurrences (35.6%). Crashes involving three or more vehicles were infrequent, with only 6 such incidents reported.

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: 466
  • Total persons involved: 764
  • Total vehicles involved: 644

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