Yearly Traffic Safety Analysis

1,079 CRASHES IN
OHIO, OH
2021

In 2021, Lawrence County recorded 1,079 traffic crashes, resulting in 6 fatalities and 455 injuries. The most frequent crash classification was single-vehicle incidents, which accounted for 453 events, or 42% of all crashes.

1,079

Total Crash Events

6

Persons Killed

455

Persons Injured

11.4%

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

123

Hit-and-Run Crashes — 2021

Based on the responding officer's initial determination, 123 crashes in 2021 were classified as hit-and-runs. These incidents accounted for 11.4% of the total crashes in Lawrence County during this period.

Vulnerable Road User Casualties

In 2021, motorists accounted for the vast majority of casualties, with 5 killed and 453 injured in traffic crashes. One pedestrian was killed and two were injured. No cyclists were reported killed or injured in crashes during this period.

1

Pedestrians Killed

5

Motorists Killed

2

Pedestrians Injured

453

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 Lawrence County were most frequent on Thursdays, which saw 174 incidents in 2021. The single busiest hour for crashes was 3 p.m., with 87 recorded events. Overall, collisions occurred more often during daylight hours, with 721 crashes happening in daylight compared to 309 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 1,079 total crashes, 69.3% (748 incidents) resulted in no injuries, while the remaining 30.7% involved at least a possible injury. There were 6 fatal crashes recorded, which resulted in 6 total fatalities. The number of fatalities can differ from the number of fatal crashes, as a single incident may involve multiple deaths.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.6%
Serious Injury32serious injury crashes3%
Minor Injury156minor injury crashes14.5%
Possible Injury137possible injury crashes12.7%
No Injury748no injury crashes69.3%

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 majority of crashes in 2021 occurred in ideal driving conditions, with 720 incidents (66.7%) happening in clear weather and 794 (73.6%) on dry road surfaces. Correspondingly, 721 crashes (66.8%) took place during daylight hours. Crashes in adverse conditions included 119 in rain and 210 on wet roads.

Weather

Clear720 (66.7%)
Cloudy194 (18.0%)
Rain119 (11.0%)
Snow21 (1.9%)
Sleet; Hail9 (0.8%)
Fog; Smog; Smoke8 (0.7%)
Other/Unknown6 (0.6%)
Freezing Rain or Freezing Drizzle2 (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

Daylight721 (66.8%)
Dark - Roadway Not Lighted234 (21.7%)
Dark - Lighted Roadway71 (6.6%)
Dawn/Dusk42 (3.9%)
Other/Unknown7 (0.6%)
Dark - Unknown Roadway Lighting4 (0.4%)

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

Road Surface

Dry794 (73.6%)
Wet210 (19.5%)
Ice48 (4.4%)
Snow14 (1.3%)
Slush6 (0.6%)
Other/Unknown6 (0.6%)
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

Analysis of persons involved in crashes shows the 26-34 age group was the most represented, with 338 individuals, followed by the 35-44 age group with 336 individuals. Among the 1,781 vehicles involved, the most frequent makes were Chevrolet (338 vehicles), Ford (316 vehicles), and Toyota (125 vehicles).

Top Vehicle Makes (1,781 vehicles)

1
CHEVROLET338 (19%)
2
FORD316 (17.7%)
3
TOYOTA125 (7%)
4
HONDA123 (6.9%)
5
NISSAN95 (5.3%)
6
DODGE93 (5.2%)
7
JEEP80 (4.5%)
8
GMC66 (3.7%)
9
KIA63 (3.5%)
10
HYUNDAI59 (3.3%)

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

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

Sex Distribution (2,311 persons with recorded sex)

Male1,262 (54.6%)
Female1,049 (45.4%)

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 690 crashes (64%) occurred on the primary roadway. A significant portion, 341 crashes or 31.6%, were classified as run-off-road incidents, with the first harmful event happening on the roadside (293), shoulder (46), or in the median (2).

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (5 records): In Median (2), Railway grade crossing (1), On Gore (1), 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

For vehicles involved in crashes, the most common traffic control environment was 'No Control,' which applied to 1,209 vehicles (67.9%). Locations with traffic signals accounted for 378 vehicles (21.2%), while those with stop signs involved 157 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,' noted for 248 vehicles. This was followed by 'Drove off Road' (191 vehicles), 'Unsafe Speed' (140 vehicles), and 'Failure to Yield' (132 vehicles). These factors represent the most common improper driver actions identified in crash reports.

Driver Contributing Factor

1
Following too Close / ACDA248 (25.5%)
2
Drove off Road191 (19.7%)
3
Unsafe Speed140 (14.4%)
4
Failure to Yield132 (13.6%)
5
Left of Center66 (6.8%)
6
Other Improper Action53 (5.5%)
7
Not Discernible32 (3.3%)
8
Improper Backing23 (2.4%)
9
Improper Lane Change21 (2.2%)

Showing top 9 of 21 reported. 12 additional (65 total) not shown: Swerving to Avoid, Improper Turn, Ran Red Light, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Opening Door into Roadway, Improper Start From a Parked Position, Wrong Way, Improper Crossing, Vision Obstruction, Ran Stop Sign.

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 54 commercial trucks were involved in crashes in 2021. Of these, 39 were classified as 'Other Commercial Vehicle' and 15 were 'Semi-Tractor Trailer'.

Vulnerable Road Users & Motorcycles

Crashes involved 14 motorcyclists, 4 pedestrians, and 3 bicyclists. Combined, there were 7 crashes involving vulnerable road users (pedestrians and bicyclists), a high-risk category for severe injuries and fatalities.

Animal-Involved Crashes

There were 71 crashes involving animals, which constitutes 6.6% of all crashes in the county. The vast majority of these, 63 incidents, were collisions with deer, while an additional 8 crashes involved other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 98 crashes, accounting for 9.1% of the total. Among these, alcohol was suspected in 47 cases, drugs in 36 cases, and a combination of both in 15 cases. These figures represent a minimum, as impairment can be under-reported.

Driver Condition

Out of 1,676 drivers involved in crashes, 124 (7.4%) were noted as having a condition other than 'Apparently Normal.' The most common condition was being 'Under the Influence of Medications / Drugs / Alcohol,' which was recorded for 93 drivers. An additional 20 drivers were reported as having fallen asleep, fainted, or being fatigued.

Driver Condition

1
Apparently Normal1,437 (88.3%)
2
Under the Influence of Medications / Drugs / Alcohol93 (5.7%)
3
Other/Unknown66 (4.1%)
4
Fell Asleep; Fainted; Fatigued; etc.20 (1.2%)
5
Illness4 (0.2%)
6
Physical Impairment4 (0.2%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)3 (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

Driver distraction was explicitly noted for 87 drivers, representing 5.2% of all drivers in crashes. The most cited issues were 'Other distraction inside the vehicle' (37 drivers) and 'Other distraction outside the vehicle' (25 drivers). Manually operating an electronic device like a phone was a factor for 7 drivers.

Driver Distraction

1
Not Distracted1,459 (90.2%)
2
Other/Unknown72 (4.4%)
3
Other distraction inside the vehicle37 (2.3%)
4
Other distraction outside the vehicle25 (1.5%)
5
Other activity with an electronic device10 (0.6%)
6
Manually operating an electronic communication device (texting; typing; dialing)7 (0.4%)
7
Passenger4 (0.2%)
8
Talking on hand-held communication device3 (0.2%)
9
Talking on hands-free communication device1 (0.1%)

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

Roadway alignment played a role in crash location, with 316 crashes (29.3%) occurring on a curve. A similar number, 284 crashes (26.3%), took place on a grade. In total, 638 crashes (59.1%) happened on sections of road described as straight and level.

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 within Lawrence County occurred in the city of Ironton, which recorded 188 incidents (17.4% of the county total). Fayette Township followed with 181 crashes (16.8%), and Union Township had 151 crashes (14.0%). These three areas collectively accounted for nearly half of all crashes in the county.

Top Cities

1
Ironton188 (17.4%)
2
Fayette181 (16.8%)
3
Union151 (14%)
4
Perry117 (10.8%)
5
Upper86 (8%)
6
Coal Grove73 (6.8%)
7
Rome68 (6.3%)
8
Elizabeth51 (4.7%)
9
Windsor33 (3.1%)

Showing top 9 of 20 reported. 11 additional (131 total) not shown: Lawrence, Hamilton, Mason, Aid, Decatur, Washington, Symmes, Chesapeake, South Point, Proctorville, Hanging Rock.

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 the case for 852 vehicles, or 47.8% of the total. The next most frequent actions were 'Negotiating a Curve' (292 vehicles, 16.4%) and 'Slowing or Stopped In Traffic' (257 vehicles, 14.4%).

Pre-Crash Driver Action

1
Straight Ahead852 (47.8%)
2
Negotiating a Curve292 (16.4%)
3
Slowing or Stopped In Traffic257 (14.4%)
4
Making Left Turn104 (5.8%)
5
Parked94 (5.3%)
6
Making Right Turn48 (2.7%)
7
Backing37 (2.1%)
8
Entering Traffic Lane22 (1.2%)
9
Changing Lanes21 (1.2%)

Showing top 9 of 16 reported. 7 additional (54 total) not shown: Other/Unknown, Overtaking/Passing, Driverless, Leaving Traffic Lane, Making U-Turn, Walking; Running; Jogging; Playing, Working.

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 crash type was 'Not Collision Between Two Vehicles in Transport,' which includes single-vehicle incidents, accounting for 453 crashes or 42% of the total. Among multi-vehicle collisions, rear-end crashes were the most frequent, with 260 incidents, representing 24.1% of all crashes.

Manner of Collision

"Other" combines 2 smaller categories (28 records): Backing (24), Rear-to-rear (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 vehicle type involved in crashes, with 795 units, making up 44.6% of all vehicles. Sport Utility Vehicles (424) and Pick-up trucks (365) were the next most frequent. Commercial vehicles, including trucks and buses, accounted for 71 of the vehicles involved in collisions.

Vehicle Type

"Other" combines 13 smaller categories (79 records): Other Vehicle (16), Semi-Tractor (15), Motorcycle 2 Wheeled (15), Bus (16+ Passengers) (10), All Terrain Vehicle (ATV/UTV) (5), Pedestrian/Skater (4), Bicycle (3), Van (9-15 Seats) (3), Heavy Equipment (3), Moped or Motorized Bicycle (2), Golf Cart (1), Motorhome (1), Farm 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 2,390 people involved in crashes, the majority were drivers, accounting for 1,676 individuals (70.1%). Passengers, listed as 'occupant,' comprised 710 individuals (29.7%). A total of 4 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

Among all 2,390 individuals involved in crashes, 6 sustained fatal injuries (0.25%). A total of 455 people (19.0%) suffered some level of injury, ranging from possible to serious. The majority, 1,870 people or 78.2%, 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

The most commonly used safety equipment was a shoulder and lap belt, reported for 1,895 individuals. A notable 197 people, or 8.2% of all participants, were recorded as using no safety equipment at the time of the crash. Child restraint systems were used by 110 occupants, including forward-facing, rear-facing, and booster seats.

Occupant Safety Equipment

"Other" combines 2 smaller categories (20 records): Lap Belt Only Used (12), Helmet Used (8).

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 incident involved two vehicles, accounting for 603 crashes (55.9% of the total). Single-vehicle crashes were also frequent, with 429 incidents recorded, representing 39.8% of all crashes. Crashes involving three or more vehicles were less common, with 42 three-vehicle and 5 four-vehicle collisions 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: 1,079
  • Total persons involved: 2,390
  • Total vehicles involved: 1,781

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