Monthly Traffic Safety Analysis

23,808 CRASHES IN
OHIO, OH
OCTOBER 2023

All metrics benchmarked againstOctober 2022

In October 2023, Ohio recorded 23,808 vehicle crashes, a 4.6% decrease from the 24,958 crashes reported in October 2022. This overall downturn was accompanied by similar decreases in fatalities and injuries. The most notable year-over-year shift was a 10.6% reduction in hit-and-run incidents, which fell from 4,195 to 3,751.

23,808

-4.6%was 24,958

Total Crash Events

111

-5.9%was 118

Persons Killed

8,500

-5.6%was 9,009

Persons Injured

3,751

-10.6%was 4,195

Hit-and-Run Crashes

Note: "Persons Killed" (111) counts individual fatalities across all crash events. "Fatal" in the severity table below (102) 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 · 2023-10-01 to 2023-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall traffic safety metrics improved in October 2023 compared to the same month in the prior year. Total crashes fell by 4.6% (from 24,958 to 23,808), while total injuries decreased by 5.6% (from 9,009 to 8,500). Fatalities also saw a decline of 5.9%, with 111 deaths recorded compared to 118 in the previous year.

3,751

Hit-and-Run Crashes — October 2023

-10.6% vs prior (4,195)

Hit-and-run incidents saw a marked decrease in October 2023 compared to the same month in 2022. The total number of hit-and-run crashes fell by 10.6% from 4,195 to 3,751. This downward trend is also reflected in the hit-and-run rate, which decreased from 16.8% of all crashes in the prior period to 15.8% in the current period.

Vulnerable Road User Casualties

15

Pedestrians Killed

Prior: 150.0%

96

Motorists Killed

Prior: 103-6.8%

274

Pedestrians Injured

Prior: 23317.6%

8,226

Motorists Injured

Prior: 8,776-6.3%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak hour for crashes remained consistent year-over-year at 4 p.m., although the number of crashes during this hour decreased from 1,978 to 1,857. However, the peak day for collisions shifted from Monday in the prior period (4,162 crashes) to Tuesday in the current period (4,019 crashes). This represents a significant increase in Tuesday crashes, which numbered only 3,275 in the prior year's period.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes showed a slight improvement year-over-year. The fatal crash rate decreased from 0.46% in October 2022 to 0.43% in October 2023, with fatal incidents dropping from 115 to 102. The proportion of crashes resulting in serious injuries also saw a marginal decline from 2.4% to 2.3%, while no-injury crashes constituted a slightly larger share of the total, rising from 74.4% to 74.7%.

Severity is per crash event (most severe injury). 102 fatal crash events resulted in 111 persons killed.

Outcome by Severity (Crash Events)

Fatal102fatal crashes0.4%
-11.3%prior 115
Serious Injury553serious injury crashes2.3%
-9.3%prior 610
Minor Injury3,088minor injury crashes13%
-2.7%prior 3,174
Possible Injury2,275possible injury crashes9.6%
-8.5%prior 2,485
No Injury17,790no injury crashes74.7%
-4.2%prior 18,574

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Most severe injury per crash record

Road & Environmental Conditions

There was a notable shift in crash conditions compared to the previous year, with a higher prevalence of adverse weather. Crashes occurring in rain accounted for 17.2% of incidents in October 2023 versus 8.8% in October 2022. Correspondingly, crashes on wet road surfaces increased from 13.4% to 25.3% of all collisions. The proportion of crashes in daylight remained relatively stable.

Weather

Clear13,272 (55.7%)
-24.5%prior 17,583
Cloudy5,996 (25.2%)
24.5%prior 4,816
Rain4,101 (17.2%)
86.5%prior 2,199
Other/Unknown223 (0.9%)
15.5%prior 193
Fog; Smog; Smoke123 (0.5%)
89.2%prior 65
Snow68 (0.3%)
119.4%prior 31
Sleet; Hail12 (0.1%)
-74.5%prior 47
Freezing Rain or Freezing Drizzle8 (0.0%)
-63.6%prior 22
Blowing Sand; Soil; Dirt; Snow3 (0.0%)
Severe Crosswinds2 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Weather condition at time of crash

Lighting

Daylight13,958 (58.6%)
-7.4%prior 15,076
Dark - Lighted Roadway3,964 (16.6%)
-4.8%prior 4,165
Dark - Roadway Not Lighted3,945 (16.6%)
3.9%prior 3,796
Dawn/Dusk1,615 (6.8%)
1.1%prior 1,597
Other/Unknown181 (0.8%)
-8.1%prior 197
Dark - Unknown Roadway Lighting145 (0.6%)
14.2%prior 127

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Lighting condition field

Road Surface

Dry17,562 (73.8%)
-17.9%prior 21,390
Wet6,016 (25.3%)
79.7%prior 3,348
Other/Unknown160 (0.7%)
12.7%prior 142
Snow29 (0.1%)
20.8%prior 24
Sand; Mud; Dirt; Oil; Gravel14 (0.1%)
40.0%prior 10
Ice14 (0.1%)
40.0%prior 10
Water (Standing; Moving)11 (0.0%)
-8.3%prior 12
Slush2 (0.0%)
-90.9%prior 22

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Road surface condition field

Vehicles & Demographics

The types of vehicles involved in crashes remained consistent year-over-year. The top four makes involved in collisions were Chevrolet, Ford, Honda, and Toyota in both periods, with no change in their ranking. Similarly, the age distribution of persons involved in crashes showed little change, with the 26-34 age group remaining the largest cohort in both October 2023 (15.6% of persons) and October 2022 (15.4% of persons).

Top Vehicle Makes (41,919 vehicles)

1
CHEVROLET5,999 (14.3%)
-9.0%prior 6,593
2
FORD5,872 (14%)
-5.5%prior 6,217
3
HONDA3,885 (9.3%)
-0.2%prior 3,893
4
TOYOTA3,292 (7.9%)
-6.3%prior 3,512
5
DODGE2,044 (4.9%)
-6.3%prior 2,181
6
NISSAN1,911 (4.6%)
-9.0%prior 2,101
7
JEEP1,840 (4.4%)
5.5%prior 1,744
8
KIA1,648 (3.9%)
-9.2%prior 1,815
9
HYUNDAI1,500 (3.6%)
-13.2%prior 1,728
10
GMC1,174 (2.8%)
-1.8%prior 1,196

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · Vehicle unit records

3,511 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (50,660 persons with recorded sex)

Male27,591 (54.5%)
-4.7%prior 28,942
Female23,069 (45.5%)
-5.9%prior 24,512

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-10-01 to 2023-10-31 · 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: 2023-10-01 through 2023-10-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2023-10-01 through 2023-10-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 23,808
  • Total persons involved: 53,414
  • Total vehicles involved: 41,919

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: October 2023." Published July 5, 2026. Reporting period: 2023-10-01 to 2023-10-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/october-2023-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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Ohio (Statewide) Crash Report — October 2023 | ThatCarHitMe.com