Yearly Traffic Safety Analysis

469 CRASHES IN
OHIO, OH
2021

In 2021, Paulding County recorded 469 traffic crashes, resulting in 6 fatalities and 99 injuries. A significant majority of these incidents, 76.3% or 358 crashes, did not involve a collision between two moving vehicles, suggesting a high prevalence of single-vehicle events such as running off the road or striking a fixed object.

469

Total Crash Events

6

Persons Killed

99

Persons Injured

3.4%

Hit-and-Run Rate

Note: "Persons Killed" (6) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) 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

16

Hit-and-Run Crashes — 2021

Of the total crashes in 2021, 16 were classified as hit-and-run incidents, accounting for 3.4% of all crashes. This determination is based on the initial report filed by the responding law enforcement officer at the scene.

Vulnerable Road User Casualties

All 6 fatalities and 99 injuries recorded in Paulding County in 2021 involved motorists. There were no pedestrians or cyclists killed or injured in traffic crashes during this period. Of the 99 motorists injured, 8 sustained serious injuries, 58 had minor injuries, and 33 had possible injuries.

6

Motorists Killed

99

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 frequency in Paulding County peaked on Thursdays, with 78 incidents recorded. The single busiest hour for crashes was the 6 p.m. hour, which saw 44 crashes. Analysis of lighting conditions shows that more crashes occurred in non-daylight hours (270 incidents in dark, dawn, or dusk conditions) than during full daylight (197 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 vast majority of crashes, 82.9% or 389 incidents, resulted in no injuries. Crashes involving injuries accounted for 17.1% of the total, including 5 fatal crashes, 7 with serious injuries, and 45 with minor injuries. While there were 5 fatal crashes, these events resulted in a total of 6 individuals killed.

Severity is per crash event (most severe injury). 5 fatal crash events resulted in 6 persons killed.

Outcome by Severity (Crash Events)

Fatal5fatal crashes1.1%
Serious Injury7serious injury crashes1.5%
Minor Injury45minor injury crashes9.6%
Possible Injury23possible injury crashes4.9%
No Injury389no injury crashes82.9%

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

Most crashes occurred in favorable conditions. Clear weather was reported in 311 of the 469 total crashes, and 370 incidents took place on dry road surfaces. However, only 197 crashes, or 42% of the total, occurred during daylight hours, with 206 happening on unlit dark roadways.

Weather

Clear311 (66.3%)
Cloudy87 (18.6%)
Rain37 (7.9%)
Snow19 (4.1%)
Fog; Smog; Smoke6 (1.3%)
Blowing Sand; Soil; Dirt; Snow4 (0.9%)
Sleet; Hail2 (0.4%)
Other/Unknown2 (0.4%)
Severe Crosswinds1 (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

Dark - Roadway Not Lighted206 (43.9%)
Daylight197 (42.0%)
Dawn/Dusk51 (10.9%)
Dark - Lighted Roadway13 (2.8%)
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

Dry370 (78.9%)
Wet70 (14.9%)
Snow25 (5.3%)
Ice2 (0.4%)
Other/Unknown1 (0.2%)
Slush1 (0.2%)

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

Vehicles & Demographics

Among the 759 people involved in crashes, the 26-34 age group was the most represented, with 132 individuals. Of the 601 vehicles involved, the most frequent makes were Chevrolet (183 vehicles), Ford (90 vehicles), and Dodge (53 vehicles). Passenger cars were the most common vehicle type, accounting for 276 of the vehicles in crashes.

Top Vehicle Makes (601 vehicles)

1
CHEVROLET183 (30.4%)
2
FORD90 (15%)
3
DODGE53 (8.8%)
4
GMC34 (5.7%)
5
JEEP24 (4%)
6
CHRYSLER24 (4%)
7
TOYOTA19 (3.2%)
8
HONDA16 (2.7%)
9
BUICK15 (2.5%)
10
INTERNATIONAL14 (2.3%)

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

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

Sex Distribution (750 persons with recorded sex)

Male437 (58.3%)
Female313 (41.7%)

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 first harmful event in most crashes, 381 incidents, occurred on the roadway itself. However, a notable number of crashes involved vehicles leaving the travel lanes, with 45 incidents occurring on the roadside, 25 on the shoulder, and 2 in the median. Combined, these run-off-road events account for 72 crashes, or 15.4% of the total.

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (3 records): On ramp (1), Other/Unknown (1), 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 majority of vehicles involved in crashes were at locations with no traffic controls present, accounting for 526 units. Intersections with stop signs were the next most common location, involving 53 vehicles. Crashes at locations with traffic signals were less frequent, involving 19 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

Among contributing factors cited for drivers, 'Drove off Road' was the most common, noted for 58 vehicles. This was followed by 'Following too Close / ACDA' for 33 vehicles and 'Failure to Yield' for 32 vehicles. 'Unsafe Speed' was a factor for 18 vehicles involved in crashes.

Driver Contributing Factor

1
Drove off Road58 (24.4%)
2
Following too Close / ACDA33 (13.9%)
3
Failure to Yield32 (13.4%)
4
Other Improper Action22 (9.2%)
5
Unsafe Speed18 (7.6%)
6
Improper Backing14 (5.9%)
7
Improper Turn11 (4.6%)
8
Left of Center10 (4.2%)
9
Ran Stop Sign9 (3.8%)

Showing top 9 of 19 reported. 10 additional (31 total) not shown: Swerving to Avoid, Improper Lane Change, Improper Passing, Ran Red Light, Lying in Roadway, Improper Crossing, Load shifting/Falling/Spilling, Operating Defective Equipment, Not Discernible, Vision Obstruction.

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 48 commercial trucks were involved in crashes in 2021. Of these, 39 were identified as semi-tractor-trailers, while the remaining 9 were classified as other types of commercial vehicles. These trucks represented approximately 8% of all vehicles involved in crashes.

Animal-Involved Crashes

Crashes involving animals were a significant factor, with 215 such incidents recorded, accounting for nearly 46% of all crashes in the county. The vast majority of these, 205 crashes, involved collisions with deer. An additional 10 crashes involved other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 23 crashes, representing 4.9% of the total. Alcohol was the sole factor in 15 of these incidents, drugs were the sole factor in 7, and a combination of alcohol and drugs was noted in 1 crash.

Driver Condition

Excluding drivers noted as 'Apparently Normal,' 31 drivers were recorded with a specific adverse condition. Of these, 23 were identified as being under the influence of medications, drugs, or alcohol. Additionally, 3 drivers reportedly fell asleep or were fatigued, 2 were ill, and 2 had a physical impairment.

Driver Condition

1
Apparently Normal538 (92.9%)
2
Under the Influence of Medications / Drugs / Alcohol23 (4%)
3
Other/Unknown10 (1.7%)
4
Fell Asleep; Fainted; Fatigued; etc.3 (0.5%)
5
Illness2 (0.3%)
6
Physical Impairment2 (0.3%)
7
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 581 drivers involved in crashes, a specific distraction was identified for 18 individuals. The most cited issues were other distractions inside the vehicle (7 drivers) and other distractions outside the vehicle (5 drivers). Manually operating an electronic device was explicitly noted for 1 driver.

Driver Distraction

1
Not Distracted540 (93.6%)
2
Other/Unknown19 (3.3%)
3
Other distraction inside the vehicle7 (1.2%)
4
Other distraction outside the vehicle5 (0.9%)
5
Talking on hands-free communication device2 (0.3%)
6
Passenger2 (0.3%)
7
Manually operating an electronic communication device (texting; typing; dialing)1 (0.2%)
8
Other activity with an electronic 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

The majority of crashes, 427 incidents, occurred on straight and level sections of roadway. Roadway geometry was a factor in a smaller subset of crashes, with 25 incidents taking place on a curve and 25 incidents occurring on 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 highest concentration of crashes occurred in the township of Paulding, which saw 84 incidents. The next most frequent locations were Crane township with 64 crashes and Brown township with 50 crashes. Together, these three areas accounted for 42% of all crashes in the county.

Top Cities

1
Paulding84 (17.9%)
2
Crane64 (13.6%)
3
Brown50 (10.7%)
4
Emerald49 (10.4%)
5
Carryall42 (9%)
6
Jackson35 (7.5%)
7
Auglaize29 (6.2%)
8
Benton24 (5.1%)
9
Harrison24 (5.1%)

Showing top 9 of 17 reported. 8 additional (68 total) not shown: Washington, Latty, Blue Creek, Payne, Oakwood, Haviland, Melrose, Antwerp.

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 480 of the 601 vehicles involved. The next most frequent actions were making a left turn, reported for 26 vehicles, and slowing or stopped in traffic, reported for 21 vehicles.

Pre-Crash Driver Action

1
Straight Ahead480 (79.9%)
2
Making Left Turn26 (4.3%)
3
Slowing or Stopped In Traffic21 (3.5%)
4
Parked18 (3%)
5
Backing15 (2.5%)
6
Negotiating a Curve13 (2.2%)
7
Making Right Turn11 (1.8%)
8
Entering Traffic Lane7 (1.2%)
9
Overtaking/Passing3 (0.5%)

Showing top 9 of 14 reported. 5 additional (7 total) not shown: Driverless, Other/Unknown, Changing Lanes, Making U-Turn, Leaving Traffic Lane.

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

Manner of Collision

The predominant crash type was 'Not Collision Between Two Vehicles in Transport,' which accounted for 358 crashes, or 76.3% of the total. For crashes involving multiple vehicles, angle collisions were the most common type with 38 incidents, followed by rear-end collisions with 35 incidents.

Manner of Collision

"Other" combines 1 smaller categories (4 records): Head-on (4).

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, with 276 units. Sport utility vehicles (116 units) and pickup trucks (107 units) were also frequently involved. Commercial vehicles, including 42 semi-tractors and 11 single-unit trucks, accounted for a smaller portion of the total.

Vehicle Type

"Other" combines 7 smaller categories (15 records): Motorcycle 2 Wheeled (4), Other Vehicle (4), Cargo Van (2), Unknown or Hit/Skip (2), Golf Cart (1), Van (9-15 Seats) (1), Heavy Equipment (1).

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

Person Type

Of the 759 individuals involved in crashes, the vast majority were either drivers (581 people) or vehicle occupants (178 people). No pedestrians, cyclists, or other types of persons were recorded in any of the crash reports for 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 759 people involved in crashes, 6 individuals sustained fatal injuries and 99 were injured. This group of 105 people killed or injured represents 13.8% of all persons involved. The majority of individuals, 651 people or 85.8%, 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 759 crash participants, 648 were reported to have used a shoulder and lap belt. A total of 43 individuals were recorded as using no safety equipment. Child restraints, including forward-facing, rear-facing, and booster seats, were used by a combined 32 occupants.

Occupant Safety Equipment

"Other" combines 2 smaller categories (7 records): Booster Seat (4), 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

Single-vehicle crashes were the most common type of incident, accounting for 341 of the 469 total crashes (72.7%). Crashes involving two vehicles were the next most frequent, with 124 incidents. There were also 4 crashes that 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: 469
  • Total persons involved: 759
  • Total vehicles involved: 601

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