Yearly Traffic Safety Analysis

167 CRASHES IN
CONGRESS, OH
2021

In 2021, Congress, OH experienced 167 crashes, resulting in 2 fatalities and 61 injuries. A significant majority of crashes, 70.7%, resulted in no reported injuries.

167

Total Crash Events

2

Persons Killed

61

Persons Injured

10.8%

Hit-and-Run Rate

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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

There were 18 hit-and-run crashes in Congress, OH in 2021, representing 10.8% of all crashes. The determination of a hit-and-run incident is based on the initial assessment by the responding officer.

Vulnerable Road User Casualties

Motorists accounted for all fatalities and injuries in 2021, with 2 motorists killed and 61 motorists injured. There were no reported fatalities or injuries among pedestrians or cyclists during this period.

2

Motorists Killed

61

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 Congress, OH during 2021 peaked on Thursdays with 29 incidents, and the busiest hour for crashes was 5 PM, with 13 incidents. The majority of crashes, 101 (60.5%), occurred during daylight hours, while 57 (34.1%) occurred 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

Of the 167 crashes, 118 (70.7%) resulted in no injuries, indicating a high proportion of property-damage-only incidents. Injury-involved crashes (A, B, C severity) accounted for 48 incidents, or 28.8% of the total. There was 1 fatal crash, which resulted in 2 fatalities.

Severity is per crash event (most severe injury). 1 fatal crash events resulted in 2 persons killed.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.6%
Serious Injury3serious injury crashes1.8%
Minor Injury37minor injury crashes22.2%
Possible Injury8possible injury crashes4.8%
No Injury118no injury crashes70.7%

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 under favorable conditions, with 101 (60.5%) happening in clear weather, 115 (68.9%) on dry road surfaces, and 101 (60.5%) during daylight. Conversely, 41 crashes (24.6%) occurred during rain or snow, 52 crashes (31.1%) on wet or snowy/icy roads, and 57 crashes (34.1%) occurred in dark conditions.

Weather

Clear101 (60.5%)
Cloudy25 (15.0%)
Rain24 (14.4%)
Snow15 (9.0%)
Freezing Rain or Freezing Drizzle1 (0.6%)
Sleet; Hail1 (0.6%)

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

Lighting

Daylight101 (60.5%)
Dark - Roadway Not Lighted49 (29.3%)
Dawn/Dusk9 (5.4%)
Dark - Lighted Roadway7 (4.2%)
Dark - Unknown Roadway Lighting1 (0.6%)

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

Road Surface

Dry115 (68.9%)
Wet34 (20.4%)
Snow14 (8.4%)
Ice2 (1.2%)
Slush1 (0.6%)
Water (Standing; Moving)1 (0.6%)

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

Vehicles & Demographics

The age groups 16-20 (57 persons), 26-34 (51 persons), and 35-44 (41 persons) were most represented among those involved in crashes. Passenger cars were the most frequently involved vehicle type with 86 incidents, followed by Sport Utility Vehicles (46) and Pickups (40). Ford (36) and Chevrolet (35) were the most common vehicle makes involved in crashes.

Top Vehicle Makes (229 vehicles)

1
FORD36 (15.7%)
2
CHEVROLET35 (15.3%)
3
FREIGHTLINER15 (6.6%)
4
HONDA14 (6.1%)
5
HYUNDAI10 (4.4%)
6
TOYOTA10 (4.4%)
7
JEEP8 (3.5%)
8
KIA7 (3.1%)
9
CHRYSLER7 (3.1%)
10
VOLVO6 (2.6%)

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

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

Sex Distribution (287 persons with recorded sex)

Male188 (65.5%)
Female99 (34.5%)

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 83 crashes occurred on the roadway itself. A substantial portion of crashes, 84 (50.3%), occurred off the main travel lanes, including 50 on the roadside, 21 in the median, 7 on the shoulder, 5 outside the trafficway, and 1 on an off-ramp. This suggests a significant run-off-road component to crashes in the area.

Crash Location (First Harmful Event)

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 crashes occurred at locations with no traffic control, accounting for 213 incidents. Only 13 crashes occurred at stop sign-controlled intersections, and 1 at a yield sign location. This indicates that 93.8% of crashes happened at uncontrolled locations.

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 leading contributing factors to crashes were Unsafe Speed (40 incidents), Drove off Road (31 incidents), and Following too Close / ACDA (13 incidents). Failure to Yield contributed to 12 crashes, while Improper Lane Change was a factor in 9 incidents. These five factors collectively account for 105 of the reported contributing factors.

Driver Contributing Factor

1
Unsafe Speed40 (28.4%)
2
Drove off Road31 (22%)
3
Following too Close / ACDA13 (9.2%)
4
Failure to Yield12 (8.5%)
5
Improper Lane Change9 (6.4%)
6
Left of Center8 (5.7%)
7
Improper Backing5 (3.5%)
8
Swerving to Avoid5 (3.5%)
9
Improper Passing4 (2.8%)

Showing top 9 of 16 reported. 7 additional (14 total) not shown: Other Improper Action, Not Discernible, Operating Defective Equipment, Improper Turn, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Ran Stop Sign.

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

Animal-Involved Crashes

Animal-related crashes involved 23 vehicles, constituting 13.8% of all crashes. Of these, 19 involved deer, and 4 involved other animals. This highlights deer as a notable hazard in the area.

Driver Condition

Among drivers, 8 were noted to be under the influence of medications, drugs, or alcohol, and 2 drivers fell asleep, fainted, or were fatigued. An additional 2 drivers had a physical impairment. These 12 incidents represent 5.4% of all drivers involved in crashes.

Driver Condition

1
Apparently Normal195 (90.7%)
2
Other/Unknown8 (3.7%)
3
Under the Influence of Medications / Drugs / Alcohol8 (3.7%)
4
Fell Asleep; Fainted; Fatigued; etc.2 (0.9%)
5
Physical Impairment2 (0.9%)

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 reported in 11 incidents. This included 7 cases of other distraction inside the vehicle, 2 cases of other activity with an electronic device, and 2 cases of other distraction outside the vehicle. These distracted driving incidents represent 4.9% of all drivers involved.

Driver Distraction

1
Not Distracted197 (91.6%)
2
Other distraction inside the vehicle7 (3.3%)
3
Other/Unknown7 (3.3%)
4
Other activity with an electronic device2 (0.9%)
5
Other distraction outside the vehicle2 (0.9%)

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

A total of 20 crashes (12.0%) occurred on curves (11 on curve level, 9 on curve grade). Additionally, 46 crashes (27.5%) occurred on a grade, indicating that a notable portion of incidents happened on sloped roadways.

Road Alignment

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 frequent pre-crash action reported was driving straight ahead, accounting for 171 incidents. Other common actions included negotiating a curve (13 incidents) and making a left turn (11 incidents). These three actions represent the primary movements immediately preceding a crash.

Pre-Crash Driver Action

1
Straight Ahead171 (74.7%)
2
Negotiating a Curve13 (5.7%)
3
Making Left Turn11 (4.8%)
4
Slowing or Stopped In Traffic7 (3.1%)
5
Changing Lanes7 (3.1%)
6
Backing6 (2.6%)
7
Parked5 (2.2%)
8
Overtaking/Passing4 (1.7%)
9
Making Right Turn3 (1.3%)

Showing top 9 of 11 reported. 2 additional (2 total) not shown: Other/Unknown, 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 most common manner of collision, accounting for 118 crashes (70.7%), was 'Not Collision Between Two Vehicles in Transport,' which often includes single-vehicle incidents. Among multi-vehicle crashes, Angle collisions were most frequent with 16 incidents (9.6%), followed closely by Rear-end collisions with 15 incidents (9%).

Manner of Collision

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 frequently involved vehicle type, accounting for 86 incidents. Sport Utility Vehicles (46) and Pickups (40) were also significantly represented. Commercial vehicles, including Semi-Tractors (30), Single Unit Trucks (9), and Cargo Vans (1), collectively comprised 40 vehicles involved.

Vehicle Type

"Other" combines 6 smaller categories (8 records): Animal with Rider or Animal Drawn Vehicle (2), Motorcycle 2 Wheeled (2), Heavy Equipment (1), Farm Equipment (1), Cargo Van (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

Drivers constituted the largest group of persons involved in crashes, with 224 individuals. Occupants accounted for 77 individuals. There were no reported pedestrians or cyclists 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 all persons involved, 2 individuals sustained fatal injuries, and 61 individuals sustained some level of injury (4 serious, 46 minor, 11 possible). The majority, 229 individuals, were reported with no injuries. This indicates that 20.9% of persons involved experienced an injury, and 0.7% were fatalities.

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 use was recorded for 281 participants. The majority, 243 individuals, used both shoulder and lap belts. However, 30 individuals (10.7% of reported cases) were not using any safety equipment, highlighting a concerning lack of restraint use in a significant portion of incidents.

Occupant Safety Equipment

"Other" combines 1 smaller categories (1 records): Booster Seat (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 type, accounting for 106 (63.5%) of all incidents. Two-vehicle crashes totaled 60, and one crash involved three vehicles. This indicates that over half of the crashes in the period were single-vehicle events.

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: Congress, OH
  • Total crash records analyzed: 167
  • Total persons involved: 301
  • Total vehicles involved: 229

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). "Congress, 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/congress/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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