ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · MAY 2023
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/may-2023-report
Monthly Traffic Safety Analysis
22,125 CRASHES IN
OHIO, OH
MAY 2023
In May 2023, Ohio recorded 22,125 total traffic crashes, a 1.9% decrease from the 22,549 crashes in May 2022. While overall crashes and injuries declined slightly, the most notable year-over-year shift was a 9.5% increase in fatalities, which rose from 116 to 127. The number of fatal crashes also increased by 16.2%, from 105 to 122, indicating a rise in crash severity despite a lower overall crash volume.
22,125
▼ -1.9%was 22,549
Total Crash Events
127
▲ 9.5%was 116
Persons Killed
8,579
▼ -1.4%was 8,700
Persons Injured
3,977
▲ 2.6%was 3,878
Hit-and-Run Crashes
Note: "Persons Killed" (127) counts individual fatalities across all crash events. "Fatal" in the severity table below (122) 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 · 2023-05-01 to 2023-05-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data for May indicates a slight decrease in the total number of traffic incidents. Crashes fell by 1.9% from 22,549 to 22,125, and total injuries decreased by 1.4% from 8,700 to 8,579. In contrast to this downward trend in volume, the number of fatalities increased by 9.5%, from 116 in May 2022 to 127 in May 2023.
3,977
Hit-and-Run Crashes — May 2023
▲ 2.6% vs prior (3,878)
Hit-and-run incidents increased in both count and proportion year-over-year. The total number of hit-and-run crashes rose from 3,878 in May 2022 to 3,977 in May 2023. This change resulted in an increase in the hit-and-run rate, which grew from 17.2% to 18.0% of all crashes.
Vulnerable Road User Casualties
10
Pedestrians Killed
117
Motorists Killed
224
Pedestrians Injured
8,355
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-05-01 to 2023-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes remained remarkably consistent year-over-year. Tuesday was the peak day for crashes in both May 2023 (3,722 crashes) and May 2022 (3,830 crashes). Similarly, the 4 PM hour was the single busiest hour in both periods, with 1,990 crashes in the current period and 2,026 in the prior period. The overall daily and hourly distributions showed no significant shifts between the two years.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-05-01 to 2023-05-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-05-01 to 2023-05-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While overall crashes declined, the severity of crashes increased from May 2022 to May 2023. The number of fatal crashes rose from 105 to 122, and their proportion of all crashes increased from 0.5% to 0.6%. Similarly, serious injury crashes increased from 598 to 613. Consequently, the fatal crash rate per 100 crashes grew from 0.47 to 0.55 year-over-year.
Severity is per crash event (most severe injury). 122 fatal crash events resulted in 127 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-05-01 to 2023-05-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-05-01 to 2023-05-31 · Most severe injury per crash record
Road & Environmental Conditions
Crashes in May 2023 occurred under better conditions compared to the prior year. The proportion of crashes in clear weather increased from 63.2% to 74.4%, while crashes during rain fell from 14.1% to 8.8%. This trend was mirrored in road surface conditions, with crashes on dry roads rising from 78.7% to 86.8% of the total and crashes on wet roads decreasing from 20.4% to 12.4%. Lighting conditions remained stable, with daylight crashes accounting for roughly 75% of incidents in both periods.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-05-01 to 2023-05-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-05-01 to 2023-05-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-05-01 to 2023-05-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes showed high stability year-over-year, with Chevrolet, Ford, Honda, Toyota, and Dodge remaining the top five most common makes in both May 2022 and May 2023. The age distribution of persons involved in crashes also remained largely consistent. There was a slight proportional increase in individuals aged 65 and older, who represented 10.9% of persons in May 2023 compared to 10.1% in the prior year.
Top Vehicle Makes (40,222 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-05-01 to 2023-05-31 · Vehicle unit records
3,766 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (48,506 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-05-01 to 2023-05-31 · 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: 2023-05-01 through 2023-05-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2023-05-01 through 2023-05-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 22,125
- Total persons involved: 51,279
- Total vehicles involved: 40,222
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: May 2023." Published July 5, 2026. Reporting period: 2023-05-01 to 2023-05-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/may-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2023-05-01 – 2023-05-31
Generated: July 5, 2026 · All rights reserved