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
233 CRASHES IN
OHIO, OH
MAY 2024
In May 2024, Allen County recorded 233 total crashes, a 3.7% decrease from the 242 crashes reported in May 2023. Despite the overall decline in collisions, the number of fatalities doubled from one to two. The most notable year-over-year change was in crashes involving pedestrians, which increased from one in May 2023 to six in May 2024.
233
▼ -3.7%was 242
Total Crash Events
2
▲ 100.0%was 1
Persons Killed
85
▼ -16.7%was 102
Persons Injured
41
▼ -2.4%was 42
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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
Traffic crashes in Allen County saw a slight year-over-year decrease in May 2024, with total collisions falling by 3.7% from 242 to 233. The number of people injured also declined by 16.7%, from 102 to 85. However, the number of fatalities increased from one in May 2023 to two in May 2024.
41
Hit-and-Run Crashes — May 2024
▼ -2.4% vs prior (42)
The number of hit-and-run incidents remained stable year-over-year, with 41 incidents in May 2024 compared to 42 in May 2023. Despite the slight drop in the absolute number of crashes, the hit-and-run rate saw a marginal increase. Hit-and-runs constituted 17.6% of all crashes in the current period, up slightly from 17.4% in the prior year.
Vulnerable Road User Casualties
0
Pedestrians Killed
2
Motorists Killed
6
Pedestrians Injured
79
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 day with the most crashes changed from Wednesday (44 crashes) in the prior year to Friday (45 crashes) in the current period. The peak hour for collisions also moved earlier in the day, from 5 p.m. in May 2023 (22 crashes) to 1 p.m. in May 2024 (19 crashes).
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
The severity of crashes worsened in terms of fatalities but improved for injuries year-over-year. The number of fatal crashes doubled from one to two, and the corresponding fatal crash rate increased from 0.41% to 0.86%. Conversely, the proportion of crashes resulting in any type of injury decreased from 32.6% in May 2023 to 26.2% in May 2024, while no-injury crashes rose from 66.9% to 73.0% of all incidents.
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 distribution of environmental conditions during crashes remained largely consistent between May 2023 and May 2024. In both periods, crashes predominantly occurred in clear weather and on dry road surfaces. Crashes in rainy conditions accounted for 10.3% of the total in May 2024, compared to 9.9% in the prior year, indicating no significant shift.
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
A comparison of vehicles involved in crashes shows a shift in the top makes between the two periods. In May 2024, Ford was the most common make with 86 vehicles, surpassing Chevrolet, which dropped to 59 from 73 in the prior year. The total number of passenger cars and SUVs involved in crashes decreased from 319 to 275, while the number of pickup trucks increased from 47 to 55.
Top Vehicle Makes (407 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-05-01 to 2024-05-31 · Vehicle unit records
32 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (504 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 6, 2026
Data Coverage
- Reporting period: 2024-05-01 through 2024-05-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 233
- Total persons involved: 533
- Total vehicles involved: 407
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 6, 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 6, 2026 · All rights reserved