Yearly Traffic Safety Analysis

815 CRASHES IN
OHIO, OH
2021

In 2021, Crawford County recorded 815 traffic crashes, resulting in 6 fatalities and 243 injuries. A significant portion of these incidents were single-vehicle events, with collisions involving animals accounting for 211 crashes, representing nearly 26% of all reported incidents in the county.

815

Total Crash Events

6

Persons Killed

243

Persons Injured

7.6%

Hit-and-Run Rate

Note: "Persons Killed" (6) 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

62

Hit-and-Run Crashes — 2021

Based on the responding officer's initial determination, 62 crashes in Crawford County were classified as hit-and-run incidents in 2021. This represents 7.6% of all crashes recorded during the period.

Vulnerable Road User Casualties

In 2021, all 6 traffic fatalities in Crawford County were motorists, and an additional 239 motorists sustained injuries. There were no pedestrian or cyclist fatalities recorded. Four pedestrians were injured in crashes, while no cyclists were reported as injured.

0

Pedestrians Killed

6

Motorists Killed

4

Pedestrians Injured

239

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 Crawford County peaked on Mondays, with 139 incidents, and during the 6 p.m. hour, which saw 67 crashes. Analysis of lighting conditions shows that 457 crashes (56.1%) occurred during daylight hours. Crashes in dark conditions accounted for 279 incidents, with the majority of these (222) happening on unlighted roadways.

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 Crawford County, 78.5% (640 incidents), resulted in no injuries. Injury-sustaining crashes, including serious, minor, and possible injuries, accounted for 20.8% of the total. There were 6 fatal crashes recorded, which resulted in 6 total fatalities.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.7%
Serious Injury27serious injury crashes3.3%
Minor Injury82minor injury crashes10.1%
Possible Injury60possible injury crashes7.4%
No Injury640no injury crashes78.5%

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 67.9% (553) happening in clear weather and 77.5% (632) on dry road surfaces. Daylight conditions were present for 457 crashes (56.1%). Crashes in adverse weather included 54 in rain and 40 in snow, while 119 crashes occurred on wet roads and 54 on roads with snow or ice.

Weather

Clear553 (67.9%)
Cloudy151 (18.5%)
Rain54 (6.6%)
Snow40 (4.9%)
Fog; Smog; Smoke6 (0.7%)
Freezing Rain or Freezing Drizzle4 (0.5%)
Other/Unknown3 (0.4%)
Severe Crosswinds2 (0.2%)
Sleet; Hail1 (0.1%)
Blowing Sand; Soil; Dirt; Snow1 (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

Daylight457 (56.1%)
Dark - Roadway Not Lighted222 (27.2%)
Dawn/Dusk70 (8.6%)
Dark - Lighted Roadway57 (7.0%)
Other/Unknown6 (0.7%)
Dark - Unknown Roadway Lighting3 (0.4%)

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

Road Surface

Dry632 (77.5%)
Wet119 (14.6%)
Snow34 (4.2%)
Ice20 (2.5%)
Other/Unknown4 (0.5%)
Slush4 (0.5%)
Sand; Mud; Dirt; Oil; Gravel1 (0.1%)
Water (Standing; Moving)1 (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 1,570 individuals involved in crashes, the 26-34 age group was the most represented, with 241 people. An analysis of the 1,234 vehicles involved shows that Chevrolet was the most frequent make, accounting for 257 vehicles. Ford (204 vehicles) and Dodge (91 vehicles) were the next most common makes.

Top Vehicle Makes (1,234 vehicles)

1
CHEVROLET257 (20.8%)
2
FORD204 (16.5%)
3
DODGE91 (7.4%)
4
HONDA77 (6.2%)
5
TOYOTA67 (5.4%)
6
KIA52 (4.2%)
7
JEEP51 (4.1%)
8
GMC42 (3.4%)
9
NISSAN37 (3%)
10
BUICK35 (2.8%)

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

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

Sex Distribution (1,415 persons with recorded sex)

Male780 (55.1%)
Female635 (44.9%)

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 for most crashes, 695 incidents, occurred on the roadway. A total of 94 crashes, or approximately 11.5% of the total, began off the primary travel lanes. These run-off-road events included 68 crashes on the roadside, 23 on the shoulder, and 3 in the median.

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (4 records): On ramp (1), Off ramp (1), Railway grade crossing (1), Shared-use paths or trails (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 922 vehicles. Crashes at intersections with traffic signals involved 123 vehicles, while those at locations with stop signs involved 175 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 frequently cited contributing factor for vehicles in crashes was 'Failure to Yield,' attributed to 122 vehicles. This was followed by 'Drove off Road' (88 vehicles) and 'Following too Close / ACDA' (87 vehicles). 'Unsafe Speed' was noted as a factor for 34 vehicles involved in crashes.

Driver Contributing Factor

1
Failure to Yield122 (21.5%)
2
Drove off Road88 (15.5%)
3
Following too Close / ACDA87 (15.3%)
4
Other Improper Action79 (13.9%)
5
Unsafe Speed34 (6%)
6
Ran Stop Sign26 (4.6%)
7
Improper Backing25 (4.4%)
8
Swerving to Avoid24 (4.2%)
9
Improper Turn16 (2.8%)

Showing top 9 of 20 reported. 11 additional (67 total) not shown: Left of Center, Not Discernible, Ran Red Light, Improper Passing, Operating Defective Equipment, Vision Obstruction, Improper Lane Change, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Improper Crossing, Opening Door into Roadway.

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 47 commercial trucks were involved in crashes in 2021. Of these, 35 were identified as semi-tractor trailers and 12 were classified as other types of commercial vehicles. These vehicles were involved in crashes that represent a key area of focus due to the potential for high-severity outcomes.

Vulnerable Road Users & Motorcycles

Crashes involved vulnerable road users or motorcyclists in 20 incidents. This included 11 crashes with motorcyclists, 5 with bicyclists, and 4 with pedestrians. Combined, crashes involving pedestrians and bicyclists accounted for 9 incidents, or 1.1% of all crashes in the county.

Animal-Involved Crashes

Collisions with animals were a significant factor in Crawford County, accounting for 211 crashes, or nearly 26% of the total for the year. The vast majority of these incidents, 202 crashes, involved deer. An additional 9 crashes were attributed to collisions with other animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 48 crashes, representing 5.9% of all incidents. Among these, alcohol was suspected in 25 cases, drugs in 17 cases, and a combination of both in 6 cases. These figures represent a minimum baseline, as impairment can be under-reported.

Driver Condition

Beyond those noted as 'Apparently Normal', 60 drivers were recorded with a specific physical or mental condition. This included 34 drivers noted as being under the influence of medications, drugs, or alcohol, and 12 drivers who reportedly fell asleep, fainted, or were fatigued. Other noted conditions included physical impairment (6 drivers), illness (4), and emotional distress (4).

Driver Condition

1
Apparently Normal1,020 (89.9%)
2
Other/Unknown54 (4.8%)
3
Under the Influence of Medications / Drugs / Alcohol34 (3%)
4
Fell Asleep; Fainted; Fatigued; etc.12 (1.1%)
5
Physical Impairment6 (0.5%)
6
Illness4 (0.4%)
7
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

Excluding drivers listed as 'Not Distracted' or 'Unknown', a specific distraction was identified for 50 drivers. The most common was 'Other distraction inside the vehicle' (22 drivers), followed by 'Other distraction outside the vehicle' and 'Passenger' (10 drivers each). Manually operating an electronic communication device was cited for 5 drivers.

Driver Distraction

1
Not Distracted994 (87.7%)
2
Other/Unknown90 (7.9%)
3
Other distraction inside the vehicle22 (1.9%)
4
Other distraction outside the vehicle10 (0.9%)
5
Passenger10 (0.9%)
6
Manually operating an electronic communication device (texting; typing; dialing)5 (0.4%)
7
Other activity with an electronic 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

While most crashes (627) occurred on straight, level road segments, a notable number happened on more challenging alignments. Crashes on curves accounted for 56 incidents (6.9% of total), and crashes on grades accounted for 153 incidents (18.8% of total). Specifically, 22 crashes occurred on segments 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 within Crawford County was concentrated in a few key areas. The City of Bucyrus saw the highest number of incidents with 202 crashes, representing 24.8% of the county's total. The City of Galion followed with 133 crashes (16.3%), and Jefferson Township had 67 crashes (8.2%).

Top Cities

1
Bucyrus202 (24.8%)
2
Galion133 (16.3%)
3
Jefferson67 (8.2%)
4
Holmes62 (7.6%)
5
Whetstone60 (7.4%)
6
Polk42 (5.2%)
7
Liberty40 (4.9%)
8
Dallas26 (3.2%)
9
Crestline24 (2.9%)

Showing top 9 of 20 reported. 11 additional (159 total) not shown: Jackson, Tod, Vernon, Cranberry, Auburn, Texas, Lykens, Sandusky, Chatfield, Crawford, Tiro.

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,' which was reported for 800 vehicles, or 64.8% of the total. The next most frequent actions were 'Slowing or Stopped In Traffic' (87 vehicles) and 'Parked' (84 vehicles). Vehicles making a left turn were involved in 67 incidents.

Pre-Crash Driver Action

1
Straight Ahead800 (64.8%)
2
Slowing or Stopped In Traffic87 (7.1%)
3
Parked84 (6.8%)
4
Making Left Turn67 (5.4%)
5
Making Right Turn49 (4%)
6
Backing35 (2.8%)
7
Negotiating a Curve31 (2.5%)
8
Entering Traffic Lane25 (2%)
9
Other/Unknown20 (1.6%)

Showing top 9 of 16 reported. 7 additional (36 total) not shown: Leaving Traffic Lane, Overtaking/Passing, Walking; Running; Jogging; Playing, Driverless, Changing Lanes, Making U-Turn, Standing.

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

Manner of Collision

The dominant crash pattern was single-vehicle incidents, classified as 'Not Collision Between Two Vehicles in Transport,' which accounted for 440 crashes, or 54% of the total. Among multi-vehicle crashes, angle collisions were the most common type with 159 incidents (19.5%), followed by rear-end collisions with 93 incidents (11.4%).

Manner of Collision

"Other" combines 1 smaller categories (14 records): Head-on (14).

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 556 units (45.1%). Sport Utility Vehicles (283 units) and Pick-up trucks (213 units) were the next most frequent. Commercial vehicles, including semi-tractors, single-unit trucks, and buses, were involved in 69 incidents, making up 5.6% of the total vehicles.

Vehicle Type

"Other" combines 11 smaller categories (49 records): Motorcycle 2 Wheeled (11), Single Unit Truck (9), Bus (16+ Passengers) (6), Bicycle (5), Other Vehicle (5), Pedestrian/Skater (4), Van (9-15 Seats) (3), Heavy Equipment (2), Farm Equipment (2), Motorhome (1), Moped or Motorized 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 1,570 people involved in crashes, the vast majority were drivers, accounting for 1,143 individuals (72.8%). Vehicle occupants (passengers) made up the second-largest group with 423 individuals (26.9%). A total of 4 pedestrians were 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 1,570 individuals involved in crashes, 243 people sustained some level of injury, representing 15.5% of the total. This included 40 serious injuries, 119 minor injuries, and 84 possible injuries. Six individuals suffered fatal injuries, while the majority, 1,314 people (83.7%), 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

Among 1,483 occupants where restraint use was specified, 141 individuals (9.5%) were recorded as not using any safety equipment. The most commonly used restraint was the shoulder and lap belt, reported for 1,254 individuals. Additionally, 57 individuals were secured by a child restraint system or booster seat.

Occupant Safety Equipment

"Other" combines 3 smaller categories (11 records): Lap Belt Only Used (8), Helmet Used (2), Lighting - Pedestrian / Bicycle Only (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

Crashes in Crawford County were nearly evenly split between single-vehicle and two-vehicle incidents. Single-vehicle crashes accounted for 410 incidents (50.3% of the total), while two-vehicle crashes numbered 392 (48.1%). Multi-vehicle incidents were less common, with 12 crashes involving three vehicles and one crash involving four 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 5, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 815
  • Total persons involved: 1,570
  • Total vehicles involved: 1,234

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