Yearly Traffic Safety Analysis

3,360 CRASHES IN
OHIO, OH
2021

In 2021, Delaware County recorded 3,360 traffic crashes, which resulted in 12 fatalities and 1,513 injuries. These incidents involved 8,173 people and 5,949 vehicles. A notable characteristic of these crashes is that over a third (36.7%) were single-vehicle incidents not involving a collision with another vehicle in transport, such as running off the road or striking a fixed object.

3,360

Total Crash Events

12

Persons Killed

1,513

Persons Injured

13.0%

Hit-and-Run Rate

Note: "Persons Killed" (12) counts individual fatalities across all crash events. "Fatal" in the severity table below (9) 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

436

Hit-and-Run Crashes — 2021

Based on initial officer determinations, 436 crashes in 2021 were classified as hit-and-run incidents. This represents 13.0% of all crashes recorded in Delaware County during this period.

Vulnerable Road User Casualties

Of the 12 total fatalities, 10 were motorists and 2 were pedestrians. Motorists also accounted for the vast majority of injuries, with 1,499 individuals hurt. In addition to the 2 pedestrian fatalities, 14 pedestrians sustained injuries. No fatalities or injuries were recorded for bicyclists in this dataset.

2

Pedestrians Killed

10

Motorists Killed

14

Pedestrians Injured

1,499

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 patterns in Delaware County show a clear weekly and daily rhythm. The highest number of crashes occurred on Thursdays, with 546 incidents, while the afternoon commute, specifically the 5 p.m. hour, was the single busiest hour with 287 crashes. Overall, two-thirds of all crashes (2,228) happened during daylight hours.

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, 70.4% (2,365 incidents), resulted in no injuries and were limited to property damage. Injury-related crashes accounted for 29.3% of the total, comprising 80 serious injury, 479 minor injury, and 427 possible injury crashes. A total of 9 separate crashes were fatal, leading to 12 deaths, indicating some incidents involved multiple fatalities.

Severity is per crash event (most severe injury). 9 fatal crash events resulted in 12 persons killed.

Outcome by Severity (Crash Events)

Fatal9fatal crashes0.3%
Serious Injury80serious injury crashes2.4%
Minor Injury479minor injury crashes14.3%
Possible Injury427possible injury crashes12.7%
No Injury2,365no injury crashes70.4%

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. Data shows that 78.5% of incidents (2,637 crashes) happened on dry road surfaces, 66.3% (2,228 crashes) in daylight, and 60.6% (2,036 crashes) in clear weather. Crashes in adverse conditions were less frequent, with 313 occurring in rain, 111 in snow, and 546 on wet roads.

Weather

Clear2,036 (60.6%)
Cloudy816 (24.3%)
Rain313 (9.3%)
Snow111 (3.3%)
Other/Unknown32 (1.0%)
Fog; Smog; Smoke26 (0.8%)
Freezing Rain or Freezing Drizzle18 (0.5%)
Sleet; Hail5 (0.1%)
Severe Crosswinds2 (0.1%)
Blowing Sand; Soil; Dirt; Snow1 (0.0%)

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

Lighting

Daylight2,228 (66.3%)
Dark - Roadway Not Lighted680 (20.2%)
Dark - Lighted Roadway261 (7.8%)
Dawn/Dusk156 (4.6%)
Other/Unknown26 (0.8%)
Dark - Unknown Roadway Lighting9 (0.3%)

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

Road Surface

Dry2,637 (78.5%)
Wet546 (16.3%)
Snow92 (2.7%)
Ice53 (1.6%)
Other/Unknown23 (0.7%)
Slush9 (0.3%)

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

Vehicles & Demographics

Among the 8,173 people involved in crashes, the 16-20 age group was the most represented, with 1,197 individuals. The 26-34 age group followed with 1,124 individuals. Analysis of the 5,949 vehicles involved shows that the most frequent makes were Honda (868 vehicles), Ford (743 vehicles), Chevrolet (687 vehicles), and Toyota (593 vehicles).

Top Vehicle Makes (5,949 vehicles)

1
HONDA868 (14.6%)
2
FORD743 (12.5%)
3
CHEVROLET687 (11.5%)
4
TOYOTA593 (10%)
5
NISSAN292 (4.9%)
6
HYUNDAI224 (3.8%)
7
JEEP223 (3.7%)
8
DODGE218 (3.7%)
9
KIA180 (3%)
10
GMC157 (2.6%)

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

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

Sex Distribution (7,869 persons with recorded sex)

Male4,328 (55.0%)
Female3,541 (45.0%)

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, 2,784 incidents, occurred on the main roadway. However, a significant number were run-off-road events, with 442 crashes (13.2% of the total) originating on the roadside (332), shoulder (76), or in the median (34).

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (12 records): Driveway/Alley access (9), On ramp (2), 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

Among vehicles involved in collisions, the majority (63.0% or 3,743 vehicles) were at locations with no traffic controls present. Signalized intersections were the next most common location, accounting for 28.6% of vehicles in crashes (1,698 vehicles). Stop signs were present for 392 of the vehicles involved in crashes.

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

Analysis of driver actions indicates that 'Following too Close / ACDA' was the most cited contributing factor, attributed to 913 vehicles. 'Failure to Yield' was the second-most common factor, noted for 526 vehicles, followed by 'Drove off Road' for 343 vehicles.

Driver Contributing Factor

1
Following too Close / ACDA913 (30.9%)
2
Failure to Yield526 (17.8%)
3
Drove off Road343 (11.6%)
4
Other Improper Action209 (7.1%)
5
Improper Lane Change166 (5.6%)
6
Unsafe Speed123 (4.2%)
7
Ran Red Light101 (3.4%)
8
Not Discernible98 (3.3%)
9
Improper Backing88 (3%)

Showing top 9 of 23 reported. 14 additional (389 total) not shown: Left of Center, Improper Turn, Swerving to Avoid, Ran Stop Sign, Improper Passing, Operating Defective Equipment, Improper Start From a Parked Position, Load shifting/Falling/Spilling, Improper Crossing, Stopped or Parked Illegally, Wrong Way, Vision Obstruction, Lying in Roadway, Opening Door into Roadway.

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

Commercial / Truck Involvement

Commercial trucks were involved in 312 crashes, representing 9.3% of the total for the county. Of these incidents, 186 involved a semi-tractor-trailer, while the remaining 126 involved other types of commercial vehicles.

Vulnerable Road Users & Motorcycles

A total of 33 crashes involved vulnerable road users, a group comprising pedestrians and bicyclists. These included 18 crashes involving pedestrians and 15 involving bicyclists. In addition, there were 36 crashes involving motorcyclists.

Animal-Involved Crashes

Crashes involving animals accounted for 367 incidents, or 10.9% of all crashes in the county. The vast majority of these, 355 crashes, were collisions with deer. The remaining 12 incidents involved other types of animals.

Impairment (Alcohol / Drugs)

Impairment was a factor in 198 crashes, accounting for 5.9% of the total. Alcohol was the sole factor in 127 of these incidents, while drugs were a factor in 36 crashes, and a combination of alcohol and drugs was noted in 35 crashes.

Driver Condition

Among all drivers involved in crashes, a small fraction were recorded with a condition other than 'Apparently Normal'. A total of 169 drivers were noted as being under the influence of medications, drugs, or alcohol. An additional 41 drivers were reported to have fallen asleep, fainted, or been fatigued.

Driver Condition

1
Apparently Normal5,109 (91.2%)
2
Other/Unknown230 (4.1%)
3
Under the Influence of Medications / Drugs / Alcohol169 (3%)
4
Fell Asleep; Fainted; Fatigued; etc.41 (0.7%)
5
Physical Impairment25 (0.4%)
6
Illness17 (0.3%)
7
Emotional (E.G.; Depressed; Angry; Disturbed)12 (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 specified, the most common factor was 'Other distraction inside the vehicle,' cited for 133 drivers. This was followed by 'Other distraction outside the vehicle' (61 drivers) and 'Other activity with an electronic device' (39 drivers). Manually operating an electronic device like a phone was noted for 25 drivers.

Driver Distraction

1
Not Distracted5,017 (89.8%)
2
Other/Unknown287 (5.1%)
3
Other distraction inside the vehicle133 (2.4%)
4
Other distraction outside the vehicle61 (1.1%)
5
Other activity with an electronic device39 (0.7%)
6
Manually operating an electronic communication device (texting; typing; dialing)25 (0.4%)
7
Passenger13 (0.2%)
8
Talking on hand-held communication device7 (0.1%)
9
Talking on hands-free communication device2

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 roadway geometry was straight and level for the majority of crashes (2,797 incidents). However, 10.9% of crashes (365) occurred on a grade, and 7.9% of crashes (266) occurred on a curve, both of which can increase crash 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 across the county shows the highest concentration in the City of Delaware, with 765 incidents (22.8% of the county total). Orange Township had the second-highest volume with 592 crashes (17.6%), followed by Liberty Township with 348 crashes (10.4%).

Top Cities

1
Delaware765 (22.8%)
2
Orange592 (17.6%)
3
Liberty348 (10.4%)
4
Berkshire303 (9%)
5
Columbus163 (4.9%)
6
Westerville147 (4.4%)
7
Concord131 (3.9%)
8
Kingston120 (3.6%)
9
Powell112 (3.3%)

Showing top 9 of 27 reported. 18 additional (679 total) not shown: Genoa, Berlin, Scioto, Troy, Brown, Harlem, Trenton, Marlboro, Porter, Sunbury, Radnor, Oxford, Thompson, Galena, Dublin, Shawnee Hills, Ashley, Ostrander.

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

Pre-Crash Driver Action

Prior to impact, the most common vehicle action was 'Straight Ahead,' accounting for 54.6% of the 5,949 vehicles involved. The second-most frequent pre-crash action was 'Slowing or Stopped In Traffic,' which described 19.0% of vehicles (1,130). 'Making Left Turn' was the third-most common action, recorded for 511 vehicles (8.6%).

Pre-Crash Driver Action

1
Straight Ahead3,246 (54.6%)
2
Slowing or Stopped In Traffic1,130 (19%)
3
Making Left Turn511 (8.6%)
4
Parked207 (3.5%)
5
Making Right Turn184 (3.1%)
6
Changing Lanes177 (3%)
7
Negotiating a Curve135 (2.3%)
8
Backing109 (1.8%)
9
Other/Unknown79 (1.3%)

Showing top 9 of 19 reported. 10 additional (171 total) not shown: Entering Traffic Lane, Overtaking/Passing, Leaving Traffic Lane, Making U-Turn, Driverless, Walking; Running; Jogging; Playing, Other Non-Motorist, Entering or Crossing Specified Location, Standing, 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 frequent type of crash was a single-vehicle incident classified as 'Not Collision Between Two Vehicles in Transport,' accounting for 36.7% of all crashes (1,233 incidents). Among multi-vehicle crashes, rear-end collisions were the most common pattern, representing 27.1% of the total (911 crashes), followed by angle collisions at 22.3% (750 crashes).

Manner of Collision

"Other" combines 2 smaller categories (55 records): Other/Unknown (50), Rear-to-rear (5).

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 2,666 of the 5,949 vehicles (44.8%). Sport Utility Vehicles (SUVs) were the second-most frequent at 1,635 vehicles (27.5%), followed by pickup trucks at 676 vehicles (11.4%). Commercial vehicles, including semi-tractors, single-unit trucks, and buses, comprised 7.9% of all vehicles in crashes.

Vehicle Type

"Other" combines 11 smaller categories (284 records): Cargo Van (106), Bus (16+ Passengers) (39), Motorcycle 2 Wheeled (37), Other Vehicle (24), Van (9-15 Seats) (19), Pedestrian/Skater (18), Bicycle (15), Heavy Equipment (13), Motorhome (6), Farm Equipment (6), 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

Of the 8,173 people involved in crashes, the majority were drivers (5,706 people, or 69.8%). Passengers (occupants) made up the next largest group, with 2,448 individuals (29.9%). A small fraction, 19 people (0.2%), were recorded as 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 8,173 people involved in crashes, 12 sustained fatal injuries (0.15%). A total of 1,513 people, or 18.5% of all participants, suffered some level of injury, ranging from possible to serious. The majority of individuals, 6,509 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

Data on safety equipment usage was recorded for 8,154 vehicle occupants. Of these, 576 individuals, or 7.1%, were recorded as not using any form of safety restraint. The most commonly used equipment was a shoulder and lap belt, reported for 6,641 occupants.

Occupant Safety Equipment

"Other" combines 5 smaller categories (56 records): Helmet Used (30), Lap Belt Only Used (21), Lighting - Pedestrian / Bicycle Only (3), Protective Pads Used (Elbow; knees; etc.) (1), 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 most common incident type was a two-vehicle collision, which accounted for 63.0% of all crashes (2,115 incidents). Single-vehicle crashes represented 30.6% of the total (1,027 incidents). Crashes involving three or more vehicles were less common, making up 6.5% of all 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: ohio, OH
  • Total crash records analyzed: 3,360
  • Total persons involved: 8,173
  • Total vehicles involved: 5,949

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