ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · APRIL 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/april-2024-report
Monthly Traffic Safety Analysis
19,735 CRASHES IN
OHIO, OH
APRIL 2024
In April 2024, Ohio recorded 19,735 traffic crashes, a 1.1% increase from the 19,512 crashes reported in April 2023. While overall crash volumes and total fatalities (99 vs. 103) remained relatively stable, the number of pedestrians killed saw a significant year-over-year increase, rising from 9 to 16. Total injuries experienced a slight rise of 1.0%, from 7,227 to 7,298.
19,735
▲ 1.1%was 19,512
Total Crash Events
99
▼ -3.9%was 103
Persons Killed
7,298
▲ 1.0%was 7,227
Persons Injured
3,446
▼ -5.7%was 3,653
Hit-and-Run Crashes
Note: "Persons Killed" (99) counts individual fatalities across all crash events. "Fatal" in the severity table below (90) 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 · 2024-04-01 to 2024-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crash volume in Ohio saw a slight increase in April 2024 compared to the previous year, rising by 1.1% from 19,512 to 19,735. This minor upward trend was accompanied by a small decrease in fatalities, which fell from 103 to 99. Conversely, the number of individuals injured in crashes grew by 1.0% to 7,298.
3,446
Hit-and-Run Crashes — April 2024
▼ -5.7% vs prior (3,653)
Hit-and-run incidents showed a downward trend in April 2024 compared to the same month in the previous year. The total number of hit-and-run crashes decreased from 3,653 to 3,446. Correspondingly, the hit-and-run rate, which measures the percentage of all crashes that are hit-and-runs, fell from 18.7% in April 2023 to 17.5% in April 2024.
Vulnerable Road User Casualties
16
Pedestrians Killed
83
Motorists Killed
192
Pedestrians Injured
7,106
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · 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 April 2023 and April 2024. The peak day for crashes moved from Friday (3,103 crashes) in the prior year to Tuesday (3,579 crashes) in the current period. The peak hour for collisions also shifted slightly earlier, from the 4 PM hour in 2023 to the 3 PM hour in 2024, which saw 1,709 crashes.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity distribution of crashes remained remarkably stable year-over-year. The fatal crash rate was unchanged at 0.46% of total crashes in both April 2023 and April 2024, with 90 fatal crashes in the current period compared to 89 in the prior. The proportions of serious injury crashes (2.6% vs. 2.5%), minor injury crashes (13.1% in both periods), and no-injury crashes (73.8% in both periods) also saw negligible changes.
Severity is per crash event (most severe injury). 90 fatal crash events resulted in 99 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Most severe injury per crash record
Road & Environmental Conditions
Comparing April 2024 to the prior year, there was a noticeable shift in crash conditions. The proportion of crashes occurring in clear weather decreased from 64.3% to 58.6%, while crashes in rainy conditions increased from 11.5% to 16.8% of the total. This corresponds with a rise in crashes on wet road surfaces, which accounted for 24.9% of incidents in the current period versus 17.2% in the prior period. Lighting conditions at the time of crashes remained largely unchanged year-over-year.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Road surface condition field
Vehicles & Demographics
The composition of vehicles and persons involved in crashes showed high stability year-over-year. The top four vehicle makes involved in collisions remained Chevrolet, Ford, Honda, and Toyota in both April 2023 and April 2024, with only minor fluctuations in their counts. Similarly, the age distribution of all persons involved in crashes was nearly identical across both periods, with the 26-34 age group consistently representing the largest share of individuals.
Top Vehicle Makes (35,851 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Vehicle unit records
3,105 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (42,914 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · 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: 2024-04-01 through 2024-04-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2024-04-01 through 2024-04-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 19,735
- Total persons involved: 45,422
- Total vehicles involved: 35,851
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: April 2024." Published July 5, 2026. Reporting period: 2024-04-01 to 2024-04-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/april-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: 2024-04-01 – 2024-04-30
Generated: July 5, 2026 · All rights reserved