ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · MARCH 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/march-2024-report
Monthly Traffic Safety Analysis
18,366 CRASHES IN
OHIO, OH
MARCH 2024
In March 2024, Ohio recorded 18,366 traffic crashes, a 13.3% decrease from the 21,193 crashes reported in March 2023. While total crashes and the number of people injured saw a significant decline, the number of fatalities remained unchanged at 93 for both periods. This stability in deaths, despite fewer overall incidents, resulted in an increase in the fatal crash rate from 0.41% to 0.48% year-over-year.
18,366
▼ -13.3%was 21,193
Total Crash Events
93
Persons Killed
6,407
▼ -13.5%was 7,404
Persons Injured
3,366
▼ -13.2%was 3,877
Hit-and-Run Crashes
Note: "Persons Killed" (93) counts individual fatalities across all crash events. "Fatal" in the severity table below (89) 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 · 2024-03-01 to 2024-03-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic collisions in Ohio showed a downward trend in March 2024 compared to the previous year. Total crashes decreased by 13.3%, from 21,193 to 18,366. Similarly, the number of people injured in these crashes fell by 13.5% from 7,404 to 6,407.
3,366
Hit-and-Run Crashes — March 2024
▼ -13.2% vs prior (3,877)
The number of hit-and-run incidents decreased from 3,877 in March 2023 to 3,366 in March 2024, in line with the overall drop in total crashes. Despite this decrease in the absolute number of events, the hit-and-run rate remained perfectly stable. In both periods, hit-and-runs accounted for 18.3% of all reported crashes.
Vulnerable Road User Casualties
13
Pedestrians Killed
80
Motorists Killed
169
Pedestrians Injured
6,238
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained broadly similar year-over-year, with Friday being the peak day for crashes in both March 2024 (3,492 crashes) and March 2023 (4,075 crashes). However, the peak hour for collisions shifted slightly later in the day, from the 3 PM hour in 2023 (1,712 crashes) to the 4 PM hour in 2024 (1,464 crashes). Overall crash volumes were lower across most days and hours in the current period.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Despite a 13.3% drop in total crashes, the number of fatalities held constant at 93 in both March 2024 and March 2023. This led to an increase in the fatal crash rate from 0.41% to 0.48% year-over-year. The proportion of crashes resulting in serious injury remained stable at 2.1%, while crashes with minor injuries saw a slight proportional increase from 12.0% to 12.6%.
Severity is per crash event (most severe injury). 89 fatal crash events resulted in 93 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions in March 2024 were comparatively better than in March 2023, which may correlate with the overall reduction in crashes. Crashes occurring in clear weather constituted a larger share of the total (58.3% vs. 52.2%), while the proportion of crashes in rain (12.8% vs. 15.1%) and snow (2.7% vs. 7.6%) decreased. Similarly, a higher percentage of collisions happened on dry roads this year (75.4%) compared to the prior year (66.7%).
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Road surface condition field
Vehicles & Demographics
The composition of vehicles involved in crashes remained consistent between March 2023 and March 2024. Passenger Cars (48.9% of vehicles) and Sport Utility Vehicles (25.5%) continued to be the most common vehicle types, with their proportions largely unchanged. The top vehicle makes, led by Chevrolet and Ford, also saw no significant shifts in ranking. The age distribution of persons involved in crashes was also stable, with the 26-34 age group representing the largest cohort in both periods.
Top Vehicle Makes (33,009 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · Vehicle unit records
2,988 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (38,827 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-03-01 to 2024-03-31 · 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: 2024-03-01 through 2024-03-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2024-03-01 through 2024-03-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 18,366
- Total persons involved: 41,233
- Total vehicles involved: 33,009
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: March 2024." Published July 5, 2026. Reporting period: 2024-03-01 to 2024-03-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/march-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: 2024-03-01 – 2024-03-31
Generated: July 5, 2026 · All rights reserved