Yearly Traffic Safety Analysis

900 CRASHES IN
OHIO, OH
2021

In 2021, Jackson County recorded 900 traffic crashes, resulting in 11 fatalities and 338 injuries. A significant finding from the data is the high proportion of single-vehicle incidents, which accounted for 61.1% of all crashes. These incidents primarily involved vehicles driving off the road.

900

Total Crash Events

11

Persons Killed

338

Persons Injured

8.9%

Hit-and-Run Rate

Note: "Persons Killed" (11) counts individual fatalities across all crash events. "Fatal" in the severity table below (10) 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

80

Hit-and-Run Crashes — 2021

Based on the initial determination of responding officers, 80 crashes in 2021 were classified as hit-and-run incidents. This represents 8.9% of all crashes in Jackson County for the year.

Vulnerable Road User Casualties

In 2021, motorists accounted for all 11 traffic fatalities and 337 of the 338 total injuries in Jackson County. One pedestrian was injured in a crash during the year. There were no recorded fatalities or injuries involving bicyclists.

0

Pedestrians Killed

11

Motorists Killed

1

Pedestrians Injured

337

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 frequencies in Jackson County peaked on Thursdays, with 154 incidents recorded. The most common time for crashes was the 5 p.m. hour, which saw 61 events. Crashes were more frequent during daylight hours, accounting for 501 incidents, while 394 crashes occurred in dark or dawn/dusk 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, 667 incidents or 74.1%, resulted in no injuries. Injury-related crashes accounted for approximately 25% of the total, including 25 serious injury crashes and 153 minor injury crashes. Ten crashes were classified as fatal, which resulted in a total of 11 deaths.

Severity is per crash event (most severe injury). 10 fatal crash events resulted in 11 persons killed.

Outcome by Severity (Crash Events)

Fatal10fatal crashes1.1%
Serious Injury25serious injury crashes2.8%
Minor Injury153minor injury crashes17%
Possible Injury45possible injury crashes5%
No Injury667no injury crashes74.1%

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

A majority of crashes occurred in favorable conditions. Analysis shows 72.3% of incidents (651 crashes) happened on dry roads, 56.2% (506 crashes) in clear weather, and 55.7% (501 crashes) during daylight hours. Adverse conditions included 188 crashes on wet roads and 103 crashes during rain.

Weather

Clear506 (56.2%)
Cloudy243 (27.0%)
Rain103 (11.4%)
Snow30 (3.3%)
Fog; Smog; Smoke9 (1.0%)
Freezing Rain or Freezing Drizzle5 (0.6%)
Other/Unknown2 (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

Daylight501 (55.7%)
Dark - Roadway Not Lighted279 (31.0%)
Dawn/Dusk70 (7.8%)
Dark - Lighted Roadway45 (5.0%)
Dark - Unknown Roadway Lighting3 (0.3%)
Other/Unknown2 (0.2%)

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

Road Surface

Dry651 (72.3%)
Wet188 (20.9%)
Ice27 (3.0%)
Snow22 (2.4%)
Sand; Mud; Dirt; Oil; Gravel7 (0.8%)
Other/Unknown3 (0.3%)
Slush2 (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 1,797 people involved in crashes, the 26-34 age group was the most represented, with 276 individuals. The most common vehicle makes involved in crashes were Ford (252 vehicles), Chevrolet (231 vehicles), and Dodge (93 vehicles).

Top Vehicle Makes (1,300 vehicles)

1
FORD252 (19.4%)
2
CHEVROLET231 (17.8%)
3
DODGE93 (7.2%)
4
HONDA81 (6.2%)
5
HYUNDAI79 (6.1%)
6
TOYOTA78 (6%)
7
JEEP59 (4.5%)
8
GMC48 (3.7%)
9
KIA44 (3.4%)
10
NISSAN41 (3.2%)

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

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

Sex Distribution (1,746 persons with recorded sex)

Male984 (56.4%)
Female762 (43.6%)

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)

Analysis of the first harmful event's location shows that 579 crashes, or 64.3%, occurred directly on the roadway. A significant portion, 312 crashes (34.7%), were run-off-road events, with the first harmful event occurring on the roadside, shoulder, or in the median.

Crash Location (First Harmful Event)

"Other" combines 1 smaller categories (1 records): On ramp (1).

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 without traffic controls, accounting for 1,015 of 1,292 vehicle involvements where control type was noted. Crashes at intersections with traffic signals accounted for 163 vehicle involvements, while those at stop signs involved 110 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 'Drove off Road,' noted in 164 instances. This was followed by 'Unsafe Speed' with 115 instances and 'Following too Close / ACDA' with 114 instances. 'Failure to Yield' was also a significant factor, contributing to 87 crashes.

Driver Contributing Factor

1
Drove off Road164 (23.2%)
2
Unsafe Speed115 (16.3%)
3
Following too Close / ACDA114 (16.1%)
4
Failure to Yield87 (12.3%)
5
Left of Center42 (5.9%)
6
Improper Backing32 (4.5%)
7
Swerving to Avoid30 (4.2%)
8
Other Improper Action25 (3.5%)
9
Not Discernible22 (3.1%)

Showing top 9 of 19 reported. 10 additional (76 total) not shown: Ran Red Light, Ran Stop Sign, Improper Lane Change, Improper Turn, Improper Passing, Operating Defective Equipment, Load shifting/Falling/Spilling, Stopped or Parked Illegally, Vision Obstruction, Lying in Roadway.

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

Commercial / Truck Involvement

Crashes involving commercial trucks accounted for 8% of all incidents, with a total of 72 events. Of these, 48 crashes involved a semi-tractor trailer, while the remaining 24 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

In 2021, there were 13 crashes involving vulnerable road users or motorcyclists. These included 11 incidents with motorcyclists, one with a bicyclist, and one with a pedestrian. Combined, crashes involving pedestrians and bicyclists accounted for two of the total incidents.

Animal-Involved Crashes

Crashes involving animals were a notable factor, comprising 199 incidents, or 22.1% of all crashes in the county. The vast majority of these, 189 crashes, were strikes involving deer. Ten additional crashes involved other or unspecified animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 47 crashes, representing 5.2% of the total for the year. Alcohol was the sole factor in 30 of these incidents, drugs were a factor in 11, and a combination of alcohol and drugs was noted in 6 crashes.

Driver Condition

Beyond 'Apparently Normal' conditions, driver state was a factor for 78 drivers involved in crashes. Impairment from medications, drugs, or alcohol was the most cited condition, affecting 46 drivers. An additional 20 drivers were reported to have fallen asleep, fainted, or been fatigued.

Driver Condition

1
Apparently Normal1,104 (89.5%)
2
Other/Unknown51 (4.1%)
3
Under the Influence of Medications / Drugs / Alcohol46 (3.7%)
4
Fell Asleep; Fainted; Fatigued; etc.20 (1.6%)
5
Illness6 (0.5%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)4 (0.3%)
7
Physical Impairment2 (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

A specific distraction was identified for 81 drivers involved in crashes. The most common issues were 'other distraction inside the vehicle' (37 drivers) and 'other distraction outside the vehicle' (28 drivers). Four drivers were manually operating an electronic device like a phone.

Driver Distraction

1
Not Distracted1,070 (87.4%)
2
Other/Unknown73 (6%)
3
Other distraction inside the vehicle37 (3%)
4
Other distraction outside the vehicle28 (2.3%)
5
Other activity with an electronic device6 (0.5%)
6
Passenger5 (0.4%)
7
Manually operating an electronic communication device (texting; typing; dialing)4 (0.3%)
8
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 geometry played a role in a significant number of crashes, with 25.3% of incidents (228 crashes) occurring on a grade. An additional 20.6% of crashes (185 incidents) took place while on a curve, indicating that non-level and non-straight road sections present higher risk.

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. The city of Jackson saw the most incidents with 178 crashes, followed by Lick township with 124 and Wellston with 114. Together, these three locations accounted for 46.2% of all crashes in the county.

Top Cities

1
Jackson178 (19.8%)
2
Lick124 (13.8%)
3
Wellston114 (12.7%)
4
Franklin87 (9.7%)
5
Bloomfield58 (6.4%)
6
Madison56 (6.2%)
7
Milton56 (6.2%)
8
Coal49 (5.4%)
9
Scioto49 (5.4%)

Showing top 9 of 15 reported. 6 additional (129 total) not shown: Liberty, Jefferson, Washington, Oak Hill, Hamilton, Coalton.

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 the 1,300 vehicles involved was 'Straight Ahead,' accounting for 771 vehicles. 'Negotiating a Curve' was the second most frequent action with 172 vehicles, followed by 'Slowing or Stopped In Traffic' for 124 vehicles.

Pre-Crash Driver Action

1
Straight Ahead771 (59.3%)
2
Negotiating a Curve172 (13.2%)
3
Slowing or Stopped In Traffic124 (9.5%)
4
Making Left Turn65 (5%)
5
Backing37 (2.8%)
6
Parked36 (2.8%)
7
Making Right Turn28 (2.2%)
8
Entering Traffic Lane17 (1.3%)
9
Overtaking/Passing17 (1.3%)

Showing top 9 of 14 reported. 5 additional (33 total) not shown: Driverless, Other/Unknown, Changing Lanes, Leaving Traffic Lane, Making U-Turn.

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 dominant type of incident, classified as 'Not Collision Between Two Vehicles in Transport.' This category accounted for 550 crashes, or 61.1% of the total. Among multi-vehicle crashes, angle collisions were the most common, with 126 incidents (14%).

Manner of Collision

"Other" combines 2 smaller categories (21 records): Head-on (17), 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 549 units recorded. Sport Utility Vehicles (317 units) and Pick-up trucks (262 units) were the next most frequent. These three categories combined represent 86.8% of all vehicles in crashes.

Vehicle Type

"Other" combines 11 smaller categories (43 records): Motorcycle 2 Wheeled (11), Van (9-15 Seats) (8), Cargo Van (8), Other Vehicle (5), All Terrain Vehicle (ATV/UTV) (3), Animal with Rider or Animal Drawn Vehicle (3), Farm Equipment (1), Bus (16+ Passengers) (1), Bicycle (1), Pedestrian/Skater (1), Motorhome (1).

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

Person Type

Of the 1,797 individuals involved in crashes, 1,253 (69.7%) were drivers. Passengers accounted for 542 individuals (30.2% of the total). A small fraction, just two individuals, were pedestrians.

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 1,797 people involved in crashes, 11 individuals sustained fatal injuries (0.6% of the total). A total of 338 people were injured, representing 18.8% of all participants. This included 30 serious injuries, 232 minor injuries, and 76 possible 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

Among vehicle occupants where safety equipment use was documented, 81 individuals were recorded as using no restraints. In contrast, 1,302 people were noted as using both a shoulder and lap belt. Proper use of child restraints, including forward-facing, rear-facing, and booster seats, was recorded for 95 children.

Occupant Safety Equipment

"Other" combines 3 smaller categories (21 records): Shoulder Belt Only Used (16), Helmet Used (4), Reflective Clothing (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

The data shows a high prevalence of single-vehicle crashes, which accounted for 520 incidents, or 57.8% of the total. Two-vehicle collisions were the next most common, with 361 incidents (40.1%). Crashes involving three or more vehicles were rare, totaling just 19 incidents.

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: 900
  • Total persons involved: 1,797
  • Total vehicles involved: 1,300

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