ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · 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/2024-annual-report
Yearly Traffic Safety Analysis
1,881 CRASHES IN
OHIO, OH
2024
In 2024, Ashtabula County recorded 1,881 total vehicle crashes, a 1.5% increase from the 1,854 crashes reported in 2023. While total crashes and fatalities (21 in 2024 vs. 19 in 2023) saw a slight rise, total injuries decreased by 4.0% from 682 to 655. One of the most notable shifts was a 91.3% increase in head-on collisions, which rose from 23 in 2023 to 44 in 2024.
1,881
▲ 1.5%was 1,854
Total Crash Events
21
▲ 10.5%was 19
Persons Killed
655
▼ -4.0%was 682
Persons Injured
165
Hit-and-Run Crashes
Note: "Persons Killed" (21) counts individual fatalities across all crash events. "Fatal" in the severity table below (20) 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 · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crash trends in Ashtabula County remained relatively stable year-over-year, with a minor 1.5% increase in total incidents from 1,854 in 2023 to 1,881 in 2024. While total injuries decreased by 4.0% (from 682 to 655), the number of fatalities increased from 19 to 21. The fatal crash rate saw a marginal increase from 1.02 to 1.06 per 100 crashes.
165
Hit-and-Run Crashes — 2024
▼ 0.0% vs prior (165)
The number of hit-and-run crashes in Ashtabula County was identical in both periods, with 165 incidents reported in 2024 and 2023. Due to a slight increase in the total number of crashes in 2024, the hit-and-run rate decreased marginally from 8.9% to 8.8%. This indicates a stable trend for hit-and-run incidents year-over-year.
Vulnerable Road User Casualties
0
Pedestrians Killed
21
Motorists Killed
11
Pedestrians Injured
644
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The daily pattern of crashes shifted between the two periods, with Friday becoming the peak day for crashes in 2024 with 361 incidents, a change from Thursday in 2023 which had 294 incidents. The peak hour for crashes remained consistent, with the 3 p.m. hour seeing the highest volume in both 2024 (137 crashes) and 2023 (146 crashes). Hourly crash distributions were otherwise broadly similar year-over-year.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes showed a mixed trend year-over-year. The number of fatal crashes increased slightly from 19 to 20, and the fatal crash rate rose from 1.02% to 1.06%. Conversely, crashes resulting in serious injuries decreased from 63 in 2023 to 51 in 2024, a drop from 3.4% to 2.7% of all crashes. The proportion of crashes with no injuries increased from 72.4% to 73.2%.
Severity is per crash event (most severe injury). 20 fatal crash events resulted in 21 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions remained largely consistent between 2023 and 2024, with most incidents in both years occurring in clear weather and on dry roads. There was a slight increase in the proportion of crashes occurring during snowy weather, from 6.1% of total crashes in 2023 to 8.5% in 2024. The share of crashes on snowy road surfaces also rose from 5.1% to 7.2%. Crashes in dark, unlighted conditions decreased as a percentage of the total, from 26.7% in 2023 to 23.9% in 2024.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The types and makes of vehicles involved in crashes remained consistent year-over-year. Passenger cars, Sport Utility Vehicles, and Pick-ups were the three most common vehicle types in both periods. The top five vehicle makes—Chevrolet, Ford, Honda, Toyota, and Jeep/Dodge—also remained unchanged in their top rankings. The age distribution of persons involved in crashes was also stable, with no significant shifts in the proportional representation of any age group between 2023 and 2024.
Top Vehicle Makes (2,856 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
169 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (3,886 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 1,881
- Total persons involved: 3,976
- Total vehicles involved: 2,856
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: 2024." Published July 6, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2024-annual-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: 2024-01-01 – 2024-12-31
Generated: July 6, 2026 · All rights reserved