Yearly Traffic Safety Analysis

1,181 CRASHES IN
OHIO, OH
2021

In 2021, Washington County recorded 1,181 traffic crashes, which resulted in 7 fatalities and 448 injuries. A significant portion of these incidents, 48% (567 crashes), were single-vehicle events not involving a collision with another vehicle in transport. The data also indicates that 6 of the total crashes were fatal, leading to the 7 deaths.

1,181

Total Crash Events

7

Persons Killed

448

Persons Injured

8.5%

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

100

Hit-and-Run Crashes — 2021

Based on the initial determination of responding officers, 100 crashes in 2021 were classified as hit-and-run incidents. This represents 8.5% of all crashes recorded in Washington County during this period.

Vulnerable Road User Casualties

In 2021, vehicle occupants (motorists) accounted for the largest group of casualties, with 4 killed and 444 injured. Pedestrians represented a significant portion of fatalities, with 3 pedestrians killed and 4 injured in 7 separate crashes. No cyclists were reported killed or injured during this period.

3

Pedestrians Killed

4

Motorists Killed

4

Pedestrians Injured

444

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 Washington County peaked on Fridays, with 210 incidents reported in 2021. The most frequent time for crashes was the 3 p.m. hour, which saw 105 events. The majority of crashes, 816 in total, occurred during daylight hours, while 293 crashes happened in dark conditions.

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 2021, 71.3% (842 incidents), resulted in no injuries. Crashes involving possible, minor, or serious injuries accounted for 333 incidents combined. 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 crashes0.5%
Serious Injury40serious injury crashes3.4%
Minor Injury162minor injury crashes13.7%
Possible Injury131possible injury crashes11.1%
No Injury842no injury crashes71.3%

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 vast majority of crashes occurred in ideal driving conditions, with 77.9% (920 crashes) on dry roads and 63.8% (753 crashes) in clear weather. Similarly, 69.1% of incidents (816 crashes) took place during daylight hours. Crashes in adverse weather included 110 in rain and 45 in snow, while 201 crashes occurred on wet road surfaces.

Weather

Clear753 (63.8%)
Cloudy246 (20.8%)
Rain110 (9.3%)
Snow45 (3.8%)
Fog; Smog; Smoke16 (1.4%)
Other/Unknown8 (0.7%)
Freezing Rain or Freezing Drizzle3 (0.3%)

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

Lighting

Daylight816 (69.1%)
Dark - Roadway Not Lighted234 (19.8%)
Dawn/Dusk64 (5.4%)
Dark - Lighted Roadway59 (5.0%)
Other/Unknown7 (0.6%)
Dark - Unknown Roadway Lighting1 (0.1%)

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

Road Surface

Dry920 (77.9%)
Wet201 (17.0%)
Snow30 (2.5%)
Ice20 (1.7%)
Other/Unknown6 (0.5%)
Slush2 (0.2%)
Water (Standing; Moving)2 (0.2%)

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

Vehicles & Demographics

Analysis of the 2,448 people involved in crashes shows the 26-34 age group was the most represented, with 372 individuals, followed closely by the 65+ age group with 342. Among the 1,932 vehicles involved, the most frequent makes were Ford (343 vehicles), Chevrolet (319 vehicles), and Toyota (186 vehicles).

Top Vehicle Makes (1,932 vehicles)

1
FORD343 (17.8%)
2
CHEVROLET319 (16.5%)
3
TOYOTA186 (9.6%)
4
DODGE108 (5.6%)
5
HONDA98 (5.1%)
6
KIA86 (4.5%)
7
JEEP84 (4.3%)
8
HYUNDAI69 (3.6%)
9
NISSAN65 (3.4%)
10
GMC64 (3.3%)

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

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

Sex Distribution (2,396 persons with recorded sex)

Male1,326 (55.3%)
Female1,070 (44.7%)

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, 869 incidents, occurred on the primary roadway. However, a notable 295 crashes, representing approximately 25% of the total, were run-off-road events. These included 226 crashes originating on the roadside and 46 on the shoulder.

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (8 records): On Gore (3), Railway grade crossing (2), Off ramp (2), Driveway/Alley access (1).

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

Traffic Control Device

Analysis of traffic controls present at crash locations shows that a majority of vehicles involved, approximately 74% (1,423 units), were in areas with no traffic control device. Crashes at signalized intersections involved 345 vehicles, while those at locations with stop signs involved 131 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 drivers was 'Following too Close / ACDA,' attributed to 240 vehicles. This was followed by 'Failure to Yield' with 172 vehicles and 'Drove off Road' with 150 vehicles. 'Unsafe Speed' was also a significant factor, cited for 123 vehicles involved in crashes.

Driver Contributing Factor

1
Following too Close / ACDA240 (23.7%)
2
Failure to Yield172 (17%)
3
Drove off Road150 (14.8%)
4
Unsafe Speed123 (12.1%)
5
Other Improper Action60 (5.9%)
6
Left of Center46 (4.5%)
7
Improper Lane Change42 (4.1%)
8
Improper Backing39 (3.8%)
9
Ran Red Light32 (3.2%)

Showing top 9 of 22 reported. 13 additional (110 total) not shown: Operating Defective Equipment, Swerving to Avoid, Improper Turn, Not Discernible, Improper Passing, Ran Stop Sign, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Vision Obstruction, Improper Crossing, Opening Door into Roadway, Stopped or Parked Illegally, Wrong Way.

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 91 commercial trucks were involved in crashes during this period. Of these, 53 were identified as semi-tractor-trailers, while the remaining 38 were classified as other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

Crashes involving vulnerable road users and motorcyclists included 30 incidents with motorcyclists, 7 with pedestrians, and 6 with bicyclists. In total, there were 13 crashes involving pedestrians or bicyclists, who are among the most vulnerable users of the roadway.

Animal-Involved Crashes

Collisions with animals accounted for 151 crashes, representing nearly 13% of all incidents in 2021. The vast majority of these, 144 crashes, involved deer. An additional 7 crashes were attributed to collisions with other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 64 crashes, accounting for 5.4% of the total. Among these, alcohol was suspected in 36 incidents, drugs in 18, and a combination of alcohol and drugs in 10. These figures represent a baseline, as impairment can be under-reported.

Driver Condition

Beyond those noted as 'Apparently Normal', 111 drivers were recorded with a specific condition affecting their ability to drive. The most common was being 'Under the Influence of Medications / Drugs / Alcohol,' noted for 54 drivers. Other conditions included fatigue or falling asleep (23 drivers) and emotional distress (21 drivers).

Driver Condition

1
Apparently Normal1,623 (88.9%)
2
Other/Unknown91 (5%)
3
Under the Influence of Medications / Drugs / Alcohol54 (3%)
4
Fell Asleep; Fainted; Fatigued; etc.23 (1.3%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)21 (1.2%)
6
Physical Impairment7 (0.4%)
7
Illness6 (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

Driver Distraction

Among all drivers, at least 96 were noted as being distracted at the time of their crash. The most cited issues were 'Other distraction inside the vehicle' (46 drivers) and 'Other distraction outside the vehicle' (31 drivers). Electronic device use was specifically mentioned for 16 drivers, including 7 who were manually operating a device.

Driver Distraction

1
Not Distracted1,633 (89.4%)
2
Other/Unknown97 (5.3%)
3
Other distraction inside the vehicle46 (2.5%)
4
Other distraction outside the vehicle31 (1.7%)
5
Manually operating an electronic communication device (texting; typing; dialing)7 (0.4%)
6
Talking on hand-held communication device5 (0.3%)
7
Other activity with an electronic device4 (0.2%)
8
Passenger3 (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 most crashes occurred on straight, level road sections, a significant number happened on more complex alignments. Crashes on curves accounted for 21.3% of all incidents (252 crashes), and 28.1% of crashes occurred on a grade (332 crashes). Crashes at the intersection of these two factors, on a graded curve, totaled 158.

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, with the City of Marietta accounting for 488 crashes, or 41.3% of the county's total. The City of Belpre saw the second-highest volume with 179 crashes, followed by Warren Township with 74 crashes and Muskingum Township with 64.

Top Cities

1
Marietta488 (41.3%)
2
Belpre179 (15.2%)
3
Warren74 (6.3%)
4
Muskingum64 (5.4%)
5
Newport46 (3.9%)
6
Dunham45 (3.8%)
7
Salem36 (3%)
8
Waterford34 (2.9%)
9
Barlow28 (2.4%)

Showing top 9 of 27 reported. 18 additional (187 total) not shown: Grandview, Aurelius, Adams, Watertown, Decatur, Fearing, Lawrence, Fairfield, Wesley, Beverly, Independence, Palmer, Matamoras, Ludlow, Liberty, Lowell, Devola, Reno.

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 described the movement of 970 vehicles (50.2% of the total). The next most frequent actions were 'Slowing or Stopped In Traffic' (274 vehicles) and 'Negotiating a Curve' (230 vehicles).

Pre-Crash Driver Action

1
Straight Ahead970 (50.2%)
2
Slowing or Stopped In Traffic274 (14.2%)
3
Negotiating a Curve230 (11.9%)
4
Making Left Turn145 (7.5%)
5
Parked86 (4.5%)
6
Backing51 (2.6%)
7
Entering Traffic Lane49 (2.5%)
8
Making Right Turn33 (1.7%)
9
Changing Lanes31 (1.6%)

Showing top 9 of 18 reported. 9 additional (63 total) not shown: Other/Unknown, Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Driverless, Entering or Crossing Specified Location, Walking; Running; Jogging; Playing, Standing Outside Disabled Vehicle, Standing.

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 most common type of incident, with 567 crashes (48% of total) classified as 'Not Collision Between Two Vehicles in Transport'. Among multi-vehicle crashes, rear-end collisions were the most frequent, accounting for 238 incidents (20.2%), followed closely by angle collisions with 235 incidents (19.9%).

Manner of Collision

"Other" combines 2 smaller categories (23 records): Head-on (21), Rear-to-rear (2).

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 851 of the 1,932 vehicles. Sport Utility Vehicles (479 vehicles) and Pick-up trucks (354 vehicles) were also frequently involved. In total, these three types comprised 87% of all vehicles in crashes.

Vehicle Type

"Other" combines 14 smaller categories (100 records): Unknown or Hit/Skip (25), Cargo Van (20), Other Vehicle (15), Pedestrian/Skater (8), Van (9-15 Seats) (6), Bicycle (6), Bus (16+ Passengers) (5), Motorhome (3), Train (3), Heavy Equipment (3), All Terrain Vehicle (ATV/UTV) (2), Farm Equipment (2), Limo (Livery Vehicle) (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 2,448 individuals involved in crashes, the vast majority were drivers, accounting for 1,833 people (74.9%). Passengers ('occupants') comprised the next largest group with 606 individuals (24.8%). A total of 9 pedestrians were also involved in these traffic 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 2,448 people involved in crashes, 7 suffered fatal injuries and 448 sustained some level of injury (serious, minor, or possible). This means that approximately 18.8% of all individuals involved were either injured or killed. The largest group, 1,968 people, reported no 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

While the majority of vehicle occupants (2,028 individuals) were recorded as using a shoulder and lap belt, 136 individuals were reported as using no safety equipment at all. This group of unbelted occupants represents 5.6% of all participants for whom safety equipment use was documented.

Occupant Safety Equipment

"Other" combines 2 smaller categories (27 records): Shoulder Belt Only Used (15), Lap Belt Only Used (12).

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 most common crash configuration involved two vehicles, accounting for 649 incidents (55.0% of the total). Single-vehicle crashes were also frequent, with 484 incidents making up 41.0% of all crashes. There were 48 crashes involving three or more vehicles, including one incident that involved five 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: 1,181
  • Total persons involved: 2,448
  • Total vehicles involved: 1,932

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