Yearly Traffic Safety Analysis

23,553 CRASHES IN
OHIO, OH
2023

All metrics benchmarked against2022

In Franklin County, total traffic crashes increased from 22,709 in 2022 to 23,553 in 2023, a rise of approximately 3.7%. While overall crash volume saw a modest increase, the number of reported hit-and-run incidents rose significantly by 27.8%, from 6,533 to 8,350 year-over-year.

23,553

▲ 3.7%was 22,709

Total Crash Events

130

▲ 3.2%was 126

Persons Killed

10,524

▲ 0.1%was 10,509

Persons Injured

8,350

▲ 27.8%was 6,533

Hit-and-Run Crashes

Note: "Persons Killed" (130) counts individual fatalities across all crash events. "Fatal" in the severity table below (119) 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 · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall traffic crash trends in Franklin County show an increase between 2022 and 2023. The total number of crashes rose by 3.7% from 22,709 to 23,553. While total injuries remained nearly stable with a minor increase of 15 persons, fatalities rose slightly from 126 to 130.

8,350

Hit-and-Run Crashes — 2023

▲ 27.8% vs prior (6,533)

Hit-and-run crashes in Franklin County saw a significant upward trend from 2022 to 2023. The total number of hit-and-run incidents increased by 27.8%, from 6,533 to 8,350. This pushed the hit-and-run rate, which measures the percentage of all crashes that were hit-and-runs, from 28.8% in 2022 to 35.5% in 2023.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 35↓-14.3%

100

Motorists Killed

Prior: 91↑9.9%

518

Pedestrians Injured

Prior: 428↑21.0%

10,006

Motorists Injured

Prior: 10,081↓-0.7%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes in Franklin County remained consistent year-over-year. Friday continued to be the peak day for crashes in 2023 with 3,981 incidents, up from 3,729 in 2022. Similarly, the 5 p.m. hour remained the peak hour for collisions in both periods, with 1,836 crashes in 2023 compared to 1,856 in 2022.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution of crashes saw minor shifts between 2022 and 2023. The number of fatal crashes was unchanged at 119 for both years, and the fatal crash rate remained stable at approximately 0.5% of all crashes. The combined proportion of crashes involving an injury decreased slightly from 32.6% in 2022 to 31.1% in 2023, while crashes with no reported injuries increased from 66.9% to 68.3% of the total.

Severity is per crash event (most severe injury). 119 fatal crash events resulted in 130 persons killed.

Outcome by Severity (Crash Events)

Fatal119fatal crashes0.5%

→0.0%prior 119

Serious Injury547serious injury crashes2.3%

↑2.1%prior 536

Minor Injury4,129minor injury crashes17.5%

↑0.8%prior 4,096

Possible Injury2,665possible injury crashes11.3%

↓-3.5%prior 2,761

No Injury16,093no injury crashes68.3%

↑5.9%prior 15,197

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Road & Environmental Conditions

The majority of crashes in both 2022 and 2023 occurred in clear weather and daylight conditions on dry roads, with proportions remaining relatively stable. There was a notable shift in crashes related to winter conditions, as the proportion of crashes occurring on snowy or icy roads decreased from 4.2% of all crashes in 2022 to 1.2% in 2023. Conversely, the proportion of crashes on wet roads increased slightly from 16.4% to 17.8%.

Weather

Clear15,346 (65.2%)

↑5.2%prior 14,594

Cloudy4,552 (19.3%)

↓-2.1%prior 4,651

Rain2,809 (11.9%)

↑18.7%prior 2,366

Other/Unknown455 (1.9%)

↑44.4%prior 315

Snow323 (1.4%)

↓-49.2%prior 636

Fog; Smog; Smoke40 (0.2%)

↓-9.1%prior 44

Sleet; Hail12 (0.1%)

↓-72.1%prior 43

Freezing Rain or Freezing Drizzle7 (0.0%)

↓-80.6%prior 36

Severe Crosswinds7 (0.0%)

↑40.0%prior 5

Blowing Sand; Soil; Dirt; Snow2 (0.0%)

↓-89.5%prior 19

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight14,716 (62.5%)

↑1.6%prior 14,479

Dark - Lighted Roadway5,680 (24.1%)

↑6.0%prior 5,361

Dark - Roadway Not Lighted1,332 (5.7%)

↑0.7%prior 1,323

Dawn/Dusk1,242 (5.3%)

↑7.7%prior 1,153

Other/Unknown357 (1.5%)

↑44.5%prior 247

Dark - Unknown Roadway Lighting226 (1.0%)

↑54.8%prior 146

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry18,682 (79.3%)

↑5.5%prior 17,714

Wet4,195 (17.8%)

↑12.5%prior 3,728

Other/Unknown364 (1.5%)

↑45.0%prior 251

Snow208 (0.9%)

↓-67.6%prior 642

Ice80 (0.3%)

↓-73.4%prior 301

Water (Standing; Moving)10 (0.0%)

↓-23.1%prior 13

Sand; Mud; Dirt; Oil; Gravel7 (0.0%)

↑16.7%prior 6

Slush7 (0.0%)

↓-87.0%prior 54

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The composition of vehicles and persons involved in crashes showed high consistency between 2022 and 2023. The top four vehicle makes involved in crashes remained Honda, Chevrolet, Ford, and Toyota, with each showing an increase in raw numbers but no change in their respective rankings. Similarly, the age distribution of persons involved in crashes was nearly identical year-over-year, with the 26-34 age group representing the largest share in both periods at 16.3% in 2023 and 17.1% in 2022.

Top Vehicle Makes (46,596 vehicles)

HONDA5,792 (12.4%)

↑2.6%prior 5,643

CHEVROLET5,207 (11.2%)

↑1.8%prior 5,117

FORD5,017 (10.8%)

↑0.4%prior 4,996

TOYOTA4,683 (10.1%)

↑2.6%prior 4,566

NISSAN2,412 (5.2%)

↓-0.6%prior 2,427

HYUNDAI2,183 (4.7%)

↓-1.0%prior 2,206

KIA1,766 (3.8%)

↑3.9%prior 1,699

DODGE1,671 (3.6%)

↓-2.7%prior 1,717

JEEP1,363 (2.9%)

↑5.6%prior 1,291

GMC928 (2%)

↑5.1%prior 883

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records

8,014 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (52,583 persons with recorded sex)

Male29,508 (56.1%)

↑2.0%prior 28,942

Female23,075 (43.9%)

→-0.0%prior 23,086

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events

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: 2023-01-01 through 2023-12-31
Report generated: July 6, 2026

Data Coverage

Reporting period: 2023-01-01 through 2023-12-31 (365 days)
Geographic scope: ohio, OH
Total crash records analyzed: 23,553
Total persons involved: 58,268
Total vehicles involved: 46,596

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: 2023." Published July 6, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2023-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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23,553 CRASHES INOHIO, OH2023