Monthly Traffic Safety Analysis

19,977 CRASHES IN
OHIO, OH
JUNE 2023

All metrics benchmarked againstJune 2022

In June 2023, Ohio recorded 19,977 total traffic crashes, a 5.5% decrease from the 21,134 crashes reported in June 2022. Despite the overall reduction in collisions and a 5.4% drop in total injuries, the number of fatalities increased by 10.2%, rising from 108 to 119 year-over-year. This points to a rise in crash severity even as the total volume of crashes declined.

19,977

-5.5%was 21,134

Total Crash Events

119

10.2%was 108

Persons Killed

7,878

-5.4%was 8,324

Persons Injured

3,696

-1.3%was 3,746

Hit-and-Run Crashes

Note: "Persons Killed" (119) counts individual fatalities across all crash events. "Fatal" in the severity table below (106) 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 · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Year-over-year data for June indicates a downward trend in overall crash volume across Ohio. Total crashes fell by 5.5%, from 21,134 in June 2022 to 19,977 in June 2023. Similarly, the number of people injured in these incidents decreased by 5.4% from 8,324 to 7,878.

3,696

Hit-and-Run Crashes — June 2023

-1.3% vs prior (3,746)

While the absolute number of hit-and-run crashes decreased slightly from 3,746 in June 2022 to 3,696 in June 2023, the hit-and-run rate trended upwards. These incidents accounted for 18.5% of all crashes in the current period, an increase from the 17.7% rate observed in the same month of the previous year. This indicates that despite a drop in total collisions, hit-and-runs became a slightly larger proportion of the remaining crashes.

Vulnerable Road User Casualties

9

Pedestrians Killed

Prior: 11-18.2%

110

Motorists Killed

Prior: 9713.4%

159

Pedestrians Injured

Prior: 176-9.7%

7,719

Motorists Injured

Prior: 8,148-5.3%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The timing of crashes showed notable shifts between June 2022 and June 2023. The day with the most crashes moved from Wednesday (3,657 crashes) in the prior year to Friday (3,813 crashes) in the current period. The peak hour for collisions also shifted slightly earlier, from the 5 PM hour in 2022 (1,840 crashes) to the 4 PM hour in 2023 (1,807 crashes).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While total crashes decreased, the fatal crash rate rose from 0.48% in June 2022 to 0.53% in June 2023. The proportion of crashes resulting in serious injuries declined from 2.9% (608 incidents) to 2.6% (522 incidents). Crashes involving minor injuries also saw a slight proportional decrease from 14.1% to 13.9%, while the share of crashes with possible injuries increased slightly from 10.1% to 10.4%.

Severity is per crash event (most severe injury). 106 fatal crash events resulted in 119 persons killed.

Outcome by Severity (Crash Events)

Fatal106fatal crashes0.5%
3.9%prior 102
Serious Injury522serious injury crashes2.6%
-14.1%prior 608
Minor Injury2,770minor injury crashes13.9%
-6.7%prior 2,970
Possible Injury2,069possible injury crashes10.4%
-2.7%prior 2,127
No Injury14,510no injury crashes72.6%
-5.3%prior 15,327

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Most severe injury per crash record

Road & Environmental Conditions

The proportion of crashes occurring in adverse weather shifted significantly year-over-year. In June 2023, 8.9% of crashes occurred during rain, up from 5.4% in June 2022. Correspondingly, collisions on wet road surfaces increased from 8.2% to 12.5% of the total. The distribution of crashes by lighting conditions remained relatively stable, with approximately 76% of incidents in both periods happening during daylight hours.

Weather

Clear13,189 (66.0%)
-21.0%prior 16,695
Cloudy4,549 (22.8%)
49.7%prior 3,038
Rain1,782 (8.9%)
55.8%prior 1,144
Fog; Smog; Smoke259 (1.3%)
407.8%prior 51
Other/Unknown182 (0.9%)
-3.2%prior 188
Snow5 (0.0%)
Severe Crosswinds4 (0.0%)
-69.2%prior 13
Sleet; Hail3 (0.0%)
Blowing Sand; Soil; Dirt; Snow3 (0.0%)
Freezing Rain or Freezing Drizzle1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Weather condition at time of crash

Lighting

Daylight15,244 (76.3%)
-6.4%prior 16,280
Dark - Lighted Roadway2,057 (10.3%)
-1.2%prior 2,083
Dark - Roadway Not Lighted1,556 (7.8%)
-8.6%prior 1,702
Dawn/Dusk884 (4.4%)
2.2%prior 865
Other/Unknown145 (0.7%)
-7.6%prior 157
Dark - Unknown Roadway Lighting91 (0.5%)
93.6%prior 47

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Lighting condition field

Road Surface

Dry17,287 (86.5%)
-10.1%prior 19,229
Wet2,506 (12.5%)
45.1%prior 1,727
Other/Unknown145 (0.7%)
1.4%prior 143
Water (Standing; Moving)18 (0.1%)
50.0%prior 12
Sand; Mud; Dirt; Oil; Gravel14 (0.1%)
-30.0%prior 20
Ice3 (0.0%)
Snow2 (0.0%)
Slush2 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Road surface condition field

Vehicles & Demographics

The ranking of top vehicle makes involved in crashes remained largely consistent, with Chevrolet (5,151 vehicles) and Ford (4,955 vehicles) leading in June 2023, similar to the prior year. However, Dodge, which was the fifth most common make in June 2022 (1,972 vehicles), was replaced in the top five by Nissan (1,693 vehicles) in the current period. The age distribution of persons involved in crashes showed minimal changes, with all age groups maintaining similar proportional representation year-over-year.

Top Vehicle Makes (36,240 vehicles)

1
CHEVROLET5,151 (14.2%)
-6.5%prior 5,510
2
FORD4,955 (13.7%)
-4.8%prior 5,203
3
HONDA3,153 (8.7%)
-7.7%prior 3,416
4
TOYOTA2,742 (7.6%)
-6.3%prior 2,925
5
NISSAN1,693 (4.7%)
-4.1%prior 1,766
6
DODGE1,683 (4.6%)
-14.7%prior 1,972
7
KIA1,451 (4%)
-2.4%prior 1,487
8
JEEP1,427 (3.9%)
-2.7%prior 1,466
9
HYUNDAI1,359 (3.8%)
-6.0%prior 1,445
10
GMC1,016 (2.8%)
5.3%prior 965

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Vehicle unit records

3,380 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (42,987 persons with recorded sex)

Male23,826 (55.4%)
-5.0%prior 25,085
Female19,161 (44.6%)
-7.6%prior 20,738

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · 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: 2023-06-01 through 2023-06-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2023-06-01 through 2023-06-30 (30 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 19,977
  • Total persons involved: 45,614
  • Total vehicles involved: 36,240

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: June 2023." Published July 5, 2026. Reporting period: 2023-06-01 to 2023-06-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/june-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 — June 2023 | ThatCarHitMe.com