ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · MAY 2024
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-2024-report
Monthly Traffic Safety Analysis
22,008 CRASHES IN
OHIO, OH
MAY 2024
In May 2024, Ohio recorded 22,008 total traffic crashes, a slight decrease of 0.5% from the 22,125 crashes documented in May 2023. While the overall crash volume remained stable, the most notable year-over-year shift was a 12.6% reduction in traffic fatalities. The state registered 111 fatalities in May 2024, a significant decline from the 127 deaths recorded in the same month of the prior year.
22,008
▼ -0.5%was 22,125
Total Crash Events
111
▼ -12.6%was 127
Persons Killed
8,672
▲ 1.1%was 8,579
Persons Injured
3,727
▼ -6.3%was 3,977
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 · 2024-05-01 to 2024-05-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall volume of traffic crashes in Ohio remained relatively stable year-over-year, with a minor decrease of 0.5% from May 2023 to May 2024. Total crashes fell from 22,125 to 22,008. However, this period saw a significant 12.6% reduction in fatalities, which dropped from 127 to 111, while total injuries experienced a slight 1.1% increase.
3,727
Hit-and-Run Crashes — May 2024
▼ -6.3% vs prior (3,977)
Hit-and-run incidents decreased in both total count and as a percentage of all crashes compared to the previous year. In May 2024, authorities recorded 3,727 hit-and-run crashes, down from 3,977 in May 2023. This change reflects a downward trend in the hit-and-run rate, which fell from 18.0% to 16.9% of all crashes.
Vulnerable Road User Casualties
7
Pedestrians Killed
104
Motorists Killed
218
Pedestrians Injured
8,454
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-05-01 to 2024-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between May 2023 and May 2024. The peak day for crashes moved from Tuesday (3,722 incidents) in the prior year to Friday (3,990 incidents) in the current period. The peak hour for collisions also shifted slightly earlier, from 4 p.m. in 2023 (1,990 crashes) to 3 p.m. in 2024 (1,960 crashes), with both times falling within the afternoon rush hour.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-05-01 to 2024-05-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-05-01 to 2024-05-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity metrics showed improvement year-over-year, with the fatal crash rate declining from 0.55% in May 2023 to 0.46% in May 2024. The total number of fatal crashes decreased from 122 to 102. The proportion of crashes resulting in serious injury remained stable at approximately 2.7-2.8%, while crashes involving minor injuries saw a slight increase from 13.7% to 14.1% of all incidents.
Severity is per crash event (most severe injury). 102 fatal crash events resulted in 111 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-05-01 to 2024-05-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-05-01 to 2024-05-31 · Most severe injury per crash record
Road & Environmental Conditions
The proportion of crashes occurring in adverse conditions increased in May 2024 compared to the previous year. Crashes in rainy weather rose from 8.8% of all incidents in May 2023 to 11.0% in May 2024. Similarly, collisions on wet road surfaces increased from 12.4% to 16.6% of the monthly total. The distribution of crashes by lighting conditions remained largely unchanged, with daylight accounting for approximately 76.6% of crashes in both periods.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-05-01 to 2024-05-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-05-01 to 2024-05-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-05-01 to 2024-05-31 · Road surface condition field
Vehicles & Demographics
The distribution of vehicles involved in crashes remained consistent year-over-year. Chevrolet (5,603 vehicles) and Ford (5,502 vehicles) were the top two makes involved in collisions in May 2024, swapping positions with the prior year but showing little change in volume. The age demographics of persons involved in crashes also showed stability, with the 26-34 age group representing the largest cohort in both May 2024 (7,834 persons) and May 2023 (7,726 persons).
Top Vehicle Makes (40,078 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-05-01 to 2024-05-31 · Vehicle unit records
3,273 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (48,448 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-05-01 to 2024-05-31 · 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: 2024-05-01 through 2024-05-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2024-05-01 through 2024-05-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 22,008
- Total persons involved: 51,018
- Total vehicles involved: 40,078
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 2024." Published July 5, 2026. Reporting period: 2024-05-01 to 2024-05-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/may-2024-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: 2024-05-01 – 2024-05-31
Generated: July 5, 2026 · All rights reserved