Yearly Traffic Safety Analysis

1,264 CRASHES IN
OHIO, OH
2021

In 2021, Shelby County recorded 1,264 motor vehicle crashes, resulting in 4 fatalities and 273 injuries. These incidents involved 2,002 vehicles and 2,554 individuals. A notable finding from the data is that single-vehicle crashes, where a vehicle strikes a fixed object or runs off the road, accounted for 50.8% of all collisions during this period.

1,264

Total Crash Events

4

Persons Killed

273

Persons Injured

12.7%

Hit-and-Run Rate

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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

160

Hit-and-Run Crashes — 2021

There were 160 hit-and-run incidents reported in Shelby County, representing 12.7% of all crashes in 2021. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the crash.

Vulnerable Road User Casualties

In 2021, motorists accounted for all traffic fatalities and the vast majority of injuries in Shelby County. Four motorists were killed and 266 were injured in crashes. Additionally, seven pedestrians sustained injuries, though no pedestrian fatalities were reported. No cyclists were reported as killed or injured during this period.

0

Pedestrians Killed

4

Motorists Killed

7

Pedestrians Injured

266

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 Shelby County peaked on Thursdays, which saw 200 incidents over the year. The single most common time for a crash was the 4 p.m. hour, with 93 occurrences, aligning with the afternoon commute. Overall, crashes were more frequent during daytime hours, with a significant concentration between 3 p.m. and 5 p.m.

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, 83.8% (1,059 incidents), resulted in no injuries and were classified as property-damage-only. Injury crashes, including those with serious, minor, or possible injuries, accounted for 16.0% of the total (203 incidents). There were 2 fatal crashes recorded, which resulted in a total of 4 fatalities, as a single crash can involve more than one death.

Severity is per crash event (most severe injury). 2 fatal crash events resulted in 4 persons killed.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.2%
Serious Injury27serious injury crashes2.1%
Minor Injury104minor injury crashes8.2%
Possible Injury72possible injury crashes5.7%
No Injury1,059no injury crashes83.8%

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. Incidents in clear weather accounted for 756 crashes, while 977 crashes happened on dry road surfaces and 715 occurred during daylight hours. Among adverse conditions, rain was a factor in 128 crashes, and wet roads were present in 2022 incidents. Crashes in darkness occurred 450 times, with most of those (328) on unlighted roadways.

Weather

Clear756 (59.8%)
Cloudy295 (23.3%)
Rain128 (10.1%)
Snow43 (3.4%)
Other/Unknown25 (2.0%)
Fog; Smog; Smoke12 (0.9%)
Sleet; Hail3 (0.2%)
Blowing Sand; Soil; Dirt; Snow2 (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

Daylight715 (56.6%)
Dark - Roadway Not Lighted328 (25.9%)
Dark - Lighted Roadway122 (9.7%)
Dawn/Dusk74 (5.9%)
Other/Unknown23 (1.8%)
Dark - Unknown Roadway Lighting2 (0.2%)

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

Road Surface

Dry977 (77.3%)
Wet202 (16.0%)
Snow46 (3.6%)
Ice20 (1.6%)
Other/Unknown17 (1.3%)
Sand; Mud; Dirt; Oil; Gravel2 (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 2,554 people involved in crashes, the most represented age groups were 16-20 years old (352 individuals), 35-44 years old (349 individuals), and 26-34 years old (348 individuals). Of the 2,002 vehicles involved, passenger cars were the most common type (832), followed by sport utility vehicles (474). The most frequent vehicle makes recorded in crashes were Ford (322), Chevrolet (320), and Honda (233).

Top Vehicle Makes (2,002 vehicles)

1
FORD322 (16.1%)
2
CHEVROLET320 (16%)
3
HONDA233 (11.6%)
4
DODGE149 (7.4%)
5
TOYOTA103 (5.1%)
6
JEEP91 (4.5%)
7
GMC65 (3.2%)
8
CHRYSLER64 (3.2%)
9
NISSAN58 (2.9%)
10
KIA51 (2.5%)

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

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

Sex Distribution (2,435 persons with recorded sex)

Male1,390 (57.1%)
Female1,045 (42.9%)

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 81.3% of crashes (1,028 incidents) occurred on the primary roadway. A significant portion of crashes, 14.6% (184 incidents), were run-off-road events where the first impact happened on the roadside, shoulder, or in the median. An additional 37 crashes occurred outside the designated trafficway.

Crash Location (First Harmful Event)

"Other" combines 4 smaller categories (5 records): Off ramp (2), On ramp (1), On Gore (1), Railway grade crossing (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 control devices present, accounting for 1,493 units. Crashes at intersections with traffic signals involved 329 vehicles, while those at intersections with stop signs involved 150 vehicles. A small number of incidents occurred at locations with flashers (10), roundabouts (4), or yield signs (4).

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 driver-related contributing factors cited, 'Following too Close / ACDA' was the most common, attributed to 174 vehicle operators. 'Drove off Road' was the second-leading factor, noted for 123 drivers, followed by 'Failure to Yield' which was cited in 115 instances. 'Unsafe Speed' (58) and 'Improper Backing' (54) were also frequently recorded actions.

Driver Contributing Factor

1
Following too Close / ACDA174 (18.6%)
2
Drove off Road123 (13.2%)
3
Other Improper Action120 (12.8%)
4
Failure to Yield115 (12.3%)
5
Unsafe Speed58 (6.2%)
6
Improper Backing54 (5.8%)
7
Improper Lane Change49 (5.2%)
8
Not Discernible45 (4.8%)
9
Improper Turn42 (4.5%)

Showing top 9 of 21 reported. 12 additional (154 total) not shown: Left of Center, Swerving to Avoid, Ran Red Light, Ran Stop Sign, Operating Defective Equipment, Improper Passing, Load shifting/Falling/Spilling, Improper Start From a Parked Position, Vision Obstruction, Improper Crossing, Opening Door into Roadway, Stopped or Parked Illegally.

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 116 incidents in 2021, representing 9.2% of all crashes in the county. Of these, 85 crashes involved a semi-tractor trailer, while the remaining 31 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

In 2021, there were 26 crashes involving motorcyclists, pedestrians, or bicyclists. Vulnerable road users, defined as pedestrians and bicyclists, were involved in a combined 12 of these incidents (7 pedestrian, 5 bicyclist). Motorcyclists were involved in the remaining 14 crashes.

Animal-Involved Crashes

Crashes involving animals were a significant factor, totaling 295 incidents, or 23.3% of all crashes in the county. The vast majority of these, 283 crashes, were collisions with deer. The remaining 12 incidents involved other, unspecified types of animals.

Impairment (Alcohol / Drugs)

Impaired driving was a factor in 51 crashes, representing 4.0% of the total for the year. Alcohol was the sole impairing substance noted in 41 of these incidents. Drugs were a factor in 4 crashes, and a combination of alcohol and drugs was noted in 6 crashes.

Driver Condition

Excluding drivers noted as 'Apparently Normal', a specific condition was recorded for 74 drivers involved in crashes. The most common cited condition was 'Under the Influence of Medications / Drugs / Alcohol', which was recorded for 42 drivers. An additional 18 drivers were noted as having 'Fell Asleep; Fainted; Fatigued; etc.', while 6 had a 'Physical Impairment'.

Driver Condition

1
Apparently Normal1,640 (90.6%)
2
Other/Unknown97 (5.4%)
3
Under the Influence of Medications / Drugs / Alcohol42 (2.3%)
4
Fell Asleep; Fainted; Fatigued; etc.18 (1%)
5
Physical Impairment6 (0.3%)
6
Emotional (E.G.; Depressed; Angry; Disturbed)5 (0.3%)
7
Illness3 (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 drivers for whom a distraction was noted, 'Other distraction inside the vehicle' was the most common, recorded for 40 drivers. This was followed by 'Other distraction outside the vehicle' (22 drivers) and distraction by a 'Passenger' (6 drivers). Electronic device use was explicitly cited for 9 drivers, including manual operation like texting (3) and talking on a device (3).

Driver Distraction

1
Not Distracted1,607 (90.2%)
2
Other/Unknown96 (5.4%)
3
Other distraction inside the vehicle40 (2.2%)
4
Other distraction outside the vehicle22 (1.2%)
5
Passenger6 (0.3%)
6
Other activity with an electronic device4 (0.2%)
7
Manually operating an electronic communication device (texting; typing; dialing)3 (0.2%)
8
Talking on hand-held communication device2 (0.1%)
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

The majority of crashes (995 incidents) occurred on straight and level sections of roadway. However, roadway geometry played a role in a notable number of crashes, with 14.7% (186 incidents) occurring on a grade and 9.3% (118 incidents) occurring on a curve.

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 of the county. The city of Sidney recorded the highest number of incidents with 513 crashes. The townships of Franklin and Clinton followed with 110 and 102 crashes, respectively. Together, these three jurisdictions accounted for 57.4% of all crashes in the county.

Top Cities

1
Sidney513 (40.6%)
2
Franklin110 (8.7%)
3
Clinton102 (8.1%)
4
Orange78 (6.2%)
5
Dinsmore64 (5.1%)
6
Washington54 (4.3%)
7
Salem45 (3.6%)
8
Cynthian45 (3.6%)
9
Turtle Creek39 (3.1%)

Showing top 9 of 22 reported. 13 additional (214 total) not shown: Jackson, Loramie, Van Buren, Perry, Mclean, Botkins, Green, Jackson Center, Fort Loramie, Russia, Port Jefferson, Anna, Kettlersville.

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 involved was 'Straight Ahead,' which described the movement of 1,195 vehicles (59.7% of the total). 'Slowing or Stopped In Traffic' was the next most frequent action, recorded for 227 vehicles (11.3%). An additional 141 vehicles were 'Parked' at the time of their involvement in a crash.

Pre-Crash Driver Action

1
Straight Ahead1,195 (59.7%)
2
Slowing or Stopped In Traffic227 (11.3%)
3
Parked141 (7%)
4
Making Left Turn120 (6%)
5
Backing65 (3.2%)
6
Making Right Turn54 (2.7%)
7
Changing Lanes51 (2.5%)
8
Other/Unknown51 (2.5%)
9
Negotiating a Curve42 (2.1%)

Showing top 9 of 17 reported. 8 additional (56 total) not shown: Overtaking/Passing, Entering Traffic Lane, Leaving Traffic Lane, Driverless, Walking; Running; Jogging; Playing, Other Non-Motorist, Making U-Turn, Entering or Crossing Specified Location.

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 642 crashes (50.8%) classified as 'Not Collision Between Two Vehicles in Transport.' Among multi-vehicle crashes, angle collisions were the most frequent type, accounting for 203 incidents (16.1%). Rear-end collisions were also common, with 183 incidents representing 14.5% of the total.

Manner of Collision

"Other" combines 2 smaller categories (15 records): Head-on (12), Rear-to-rear (3).

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 prevalent vehicle type involved in crashes, accounting for 832 of the 2,002 vehicles. Sport Utility Vehicles (474) and Pick-up trucks (327) were the next most common types. Commercial vehicles, including semi-tractors, single-unit trucks, and buses, were involved in 127 crashes.

Vehicle Type

"Other" combines 11 smaller categories (78 records): Cargo Van (16), Motorcycle 2 Wheeled (15), Heavy Equipment (9), Van (9-15 Seats) (7), Other Vehicle (7), Pedestrian/Skater (7), Bus (16+ Passengers) (6), Bicycle (5), Farm Equipment (3), All Terrain Vehicle (ATV/UTV) (2), 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 2,554 people involved in crashes, 1,846 (72.3%) were drivers. Passengers (occupants) accounted for another 701 individuals (27.4%). A small fraction, 7 individuals (0.3%), were pedestrians involved in collisions.

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 2,554 individuals involved in crashes, 4 people sustained fatal injuries (0.16%). A total of 273 people, or 10.7% of all participants, suffered some level of injury, ranging from serious (38 people) to minor (139 people) or possible (96 people). The majority of individuals, 2,218 people, 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 use of safety equipment was recorded for 2,543 vehicle occupants. Of these, 148 individuals (5.8%) were documented as not using any form of restraint, such as a seat belt. The vast majority, 2,060 occupants, were reported as using both a shoulder and lap belt.

Occupant Safety Equipment

"Other" combines 2 smaller categories (24 records): Lap Belt Only Used (16), 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

Two-vehicle collisions were the most common scenario, accounting for 666 crashes (52.7%). Single-vehicle crashes were also very frequent, with 567 incidents (44.8%). Crashes involving three or more vehicles were less common, with 31 such incidents recorded, including one crash that involved nine 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: 1,264
  • Total persons involved: 2,554
  • Total vehicles involved: 2,002

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