Yearly Traffic Safety Analysis

661 CRASHES IN
DUBLIN, OH
2021

In 2021, Dublin experienced 661 crashes, resulting in 4 fatalities and 253 injuries. Angle collisions were the most frequent type, accounting for 31.9% of all crashes.

661

Total Crash Events

4

Persons Killed

253

Persons Injured

9.5%

Hit-and-Run Rate

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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

63

Hit-and-Run Crashes — 2021

In 2021, there were 63 hit-and-run crashes in Dublin, representing 9.5% 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

In 2021, 4 motorists were killed and 248 motorists were injured in crashes. There were no cyclist fatalities or injuries reported. Five pedestrians were injured, with no pedestrian fatalities recorded.

0

Pedestrians Killed

4

Motorists Killed

5

Pedestrians Injured

248

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 data for 2021 indicates that Friday and Thursday were the peak days for crashes, both with 118 incidents. The peak hour for crashes was 3 PM, with 63 incidents. The majority of crashes, 466 out of 661, occurred during daylight 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

In 2021, 71.4% of crashes in Dublin resulted in no injuries. Injury crashes (A, B, or C severity) accounted for 28.1% of all incidents. There were 3 fatal crashes, which resulted in 4 total fatalities.

Severity is per crash event (most severe injury). 3 fatal crash events resulted in 4 persons killed.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.5%
Serious Injury14serious injury crashes2.1%
Minor Injury119minor injury crashes18%
Possible Injury53possible injury crashes8%
No Injury472no injury crashes71.4%

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 majority of crashes occurred under favorable conditions, with 406 incidents happening in clear weather, 522 on dry road surfaces, and 466 during daylight. Conversely, 75 crashes occurred in rain, 15 in snow, and 150 crashes occurred during dark conditions.

Weather

Clear406 (61.4%)
Cloudy153 (23.1%)
Rain75 (11.3%)
Snow15 (2.3%)
Other/Unknown5 (0.8%)
Freezing Rain or Freezing Drizzle4 (0.6%)
Severe Crosswinds1 (0.2%)
Sleet; Hail1 (0.2%)
Fog; Smog; Smoke1 (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

Daylight466 (70.5%)
Dark - Lighted Roadway100 (15.1%)
Dark - Roadway Not Lighted48 (7.3%)
Dawn/Dusk35 (5.3%)
Other/Unknown10 (1.5%)
Dark - Unknown Roadway Lighting2 (0.3%)

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

Road Surface

Dry522 (79.0%)
Wet113 (17.1%)
Ice10 (1.5%)
Snow10 (1.5%)
Other/Unknown3 (0.5%)
Slush3 (0.5%)

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

Vehicles & Demographics

The 26-34 age group was most represented among persons involved in crashes, with 273 individuals. Among vehicle makes, Honda was the most frequently involved, accounting for 216 vehicles. Toyota followed with 128 vehicles, and Ford with 125 vehicles.

Top Vehicle Makes (1,232 vehicles)

1
HONDA216 (17.5%)
2
TOYOTA128 (10.4%)
3
FORD125 (10.1%)
4
CHEVROLET107 (8.7%)
5
NISSAN55 (4.5%)
6
HYUNDAI47 (3.8%)
7
JEEP47 (3.8%)
8
LEXUS36 (2.9%)
9
DODGE34 (2.8%)
10
ACURA29 (2.4%)

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

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

Sex Distribution (1,515 persons with recorded sex)

Male810 (53.5%)
Female705 (46.5%)

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 majority of crashes, 542, occurred on the roadway. A total of 75 crashes, representing 11.3% of all incidents, occurred off the main travel lanes, specifically on the roadside, shoulder, or in the median.

Crash Location (First Harmful Event)

"Other" combines 3 smaller categories (7 records): Off ramp (5), 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

Among vehicles involved in crashes, 689 (55.9%) were at locations with no traffic control. Another 261 vehicles (21.2%) were involved in crashes at signalized intersections, while 153 vehicles (12.4%) were at roundabouts.

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 contributing factors attributed to drivers, "Following too Close / ACDA" was the most frequent, cited for 153 drivers (12.9% of all drivers). "Failure to Yield" was cited for 126 drivers (10.7%), and "Improper Lane Change" for 82 drivers (6.9%). "Other Improper Action" and "Drove off Road" were also significant factors, cited for 78 (6.6%) and 68 (5.7%) drivers, respectively.

Driver Contributing Factor

1
Following too Close / ACDA153 (23.1%)
2
Failure to Yield126 (19%)
3
Improper Lane Change82 (12.4%)
4
Other Improper Action78 (11.8%)
5
Drove off Road68 (10.3%)
6
Not Discernible52 (7.9%)
7
Ran Red Light20 (3%)
8
Ran Stop Sign19 (2.9%)
9
Unsafe Speed13 (2%)

Showing top 9 of 19 reported. 10 additional (51 total) not shown: Improper Backing, Swerving to Avoid, Improper Turn, Left of Center, Operating Defective Equipment, Improper Passing, Load shifting/Falling/Spilling, Improper Crossing, Improper Start From a Parked Position, 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

A total of 68 commercial vehicles were involved in crashes, representing 5.5% of all vehicles. Of these, 37 were Semi-Tractor Trailers and 31 were classified as Other Commercial Vehicles.

Vulnerable Road Users & Motorcycles

In 2021, 9 pedestrians and bicyclists were involved in crashes. Additionally, 9 motorcyclists were involved in crashes. In total, 18 vulnerable road users were involved in crashes.

Impairment (Alcohol / Drugs)

There were 37 crashes in 2021 where driver impairment was a factor, representing 5.6% of all crashes. Of these, 29 crashes involved alcohol impairment, 5 involved drug impairment, and 3 involved both alcohol and drugs.

Driver Condition

Among drivers involved in crashes, 31 were reported as "Under the Influence of Medications / Drugs / Alcohol." Additionally, 7 drivers "Fell Asleep; Fainted; Fatigued; etc.", 4 were described as "Emotional," and 1 had a "Physical Impairment." These abnormal conditions collectively accounted for 43 drivers, or 3.6% of all drivers involved.

Driver Condition

1
Apparently Normal1,065 (92.1%)
2
Other/Unknown48 (4.2%)
3
Under the Influence of Medications / Drugs / Alcohol31 (2.7%)
4
Fell Asleep; Fainted; Fatigued; etc.7 (0.6%)
5
Emotional (E.G.; Depressed; Angry; Disturbed)4 (0.3%)
6
Physical Impairment1 (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

Driver Distraction

Distracted driving was a factor for 47 drivers, representing 4.0% of all drivers involved in crashes. The most common specific distractions included "Other distraction inside the vehicle" (19 drivers) and "Other distraction outside the vehicle" (12 drivers). Operating an electronic device was noted for 8 drivers, and manually operating a communication device for 5 drivers.

Driver Distraction

1
Not Distracted1,054 (91.7%)
2
Other/Unknown48 (4.2%)
3
Other distraction inside the vehicle19 (1.7%)
4
Other distraction outside the vehicle12 (1%)
5
Other activity with an electronic device8 (0.7%)
6
Manually operating an electronic communication device (texting; typing; dialing)5 (0.4%)
7
Talking on hand-held communication device2 (0.2%)
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

In 2021, 191 crashes (28.9% of all crashes) occurred on curves, indicating elevated risk in these areas. Additionally, 117 crashes (17.7%) occurred on roadway grades, further highlighting locations with increased crash potential.

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 common pre-crash action reported for vehicles was "Straight Ahead," accounting for 587 instances (47.6% of vehicles). "Slowing or Stopped In Traffic" was the second most frequent action, noted for 226 vehicles (18.3%). Additionally, 111 vehicles (9.0%) were "Negotiating a Curve" immediately before a crash.

Pre-Crash Driver Action

1
Straight Ahead587 (47.6%)
2
Slowing or Stopped In Traffic226 (18.3%)
3
Negotiating a Curve111 (9%)
4
Making Left Turn87 (7.1%)
5
Changing Lanes83 (6.7%)
6
Parked28 (2.3%)
7
Other/Unknown25 (2%)
8
Entering Traffic Lane22 (1.8%)
9
Leaving Traffic Lane19 (1.5%)

Showing top 9 of 16 reported. 7 additional (44 total) not shown: Making Right Turn, Backing, Overtaking/Passing, Making U-Turn, Entering or Crossing Specified Location, Walking; Running; Jogging; Playing, Standing Outside Disabled Vehicle.

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 manner of collision was "Angle," accounting for 211 crashes or 31.9% of all incidents. "Not Collision Between Two Vehicles in Transport" was also significant, representing 172 crashes (26%). Rear-end collisions comprised 164 incidents, or 24.8% of the total.

Manner of Collision

"Other" combines 2 smaller categories (2 records): Rear-to-rear (1), Sideswipe; opposite direction (1).

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

Vehicle Type

"Passenger Car" was the dominant vehicle type involved in crashes, accounting for 726 vehicles (59.0%). "Sport Utility Vehicle" followed with 244 vehicles. Commercial vehicles, including Semi-Tractors, Single Unit Trucks, Cargo Vans, and Buses, collectively represented 71 vehicles (5.8%) involved in crashes.

Vehicle Type

"Other" combines 9 smaller categories (47 records): Cargo Van (11), Motorcycle 2 Wheeled (10), Heavy Equipment (6), Pedestrian/Skater (5), Bicycle (4), Bus (16+ Passengers) (4), Other Vehicle (3), Van (9-15 Seats) (3), Farm Equipment (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 1,183 individuals (75.5%). Occupants accounted for 379 individuals (24.2%). There were 5 pedestrians involved in crashes, representing 0.3% of all persons.

Person Type

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

Person Injury Severity

Out of 1,567 persons involved in crashes, 4 individuals sustained fatal injuries. A total of 253 persons sustained some level of injury, comprising 16.1% of all individuals involved. The remaining 1,274 persons sustained no 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 participants for whom safety equipment use was recorded, 1,377 individuals used shoulder and lap belts. A total of 30 individuals were reported as using no safety equipment. Child restraint systems (forward-facing, rear-facing, or booster seats) were used by 65 individuals.

Occupant Safety Equipment

"Other" combines 3 smaller categories (10 records): Lap Belt Only Used (7), Shoulder Belt Only Used (2), Lighting - Pedestrian / Bicycle Only (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 accounted for 151 incidents, representing 22.8% of all crashes. Two-vehicle crashes were the most common, with 460 incidents. There were 9 crashes involving four or more 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: Dublin, OH
  • Total crash records analyzed: 661
  • Total persons involved: 1,567
  • Total vehicles involved: 1,232

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). "Dublin, 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/dublin/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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