ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · AUGUST 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/august-2024-report
Monthly Traffic Safety Analysis
20,475 CRASHES IN
OHIO, OH
AUGUST 2024
In August 2024, there were 20,475 total crashes, a 1.75% decrease from the 20,839 crashes recorded in August 2023. Despite the overall drop in collisions, the number of fatalities increased significantly, rising from 102 to 130 year-over-year.
20,475
▼ -1.7%was 20,839
Total Crash Events
130
▲ 27.5%was 102
Persons Killed
8,162
▼ -3.0%was 8,418
Persons Injured
3,595
▼ -2.8%was 3,699
Hit-and-Run Crashes
Note: "Persons Killed" (130) counts individual fatalities across all crash events. "Fatal" in the severity table below (118) 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 · 2024-08-01 to 2024-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash volume showed a slight year-over-year decline in August, with total crashes falling by 1.75% from 20,839 in 2023 to 20,475 in 2024. The number of injuries also saw a modest decrease of 3.0%. However, this was contrasted by a substantial 27.5% increase in fatalities, which rose from 102 to 130 over the same period.
3,595
Hit-and-Run Crashes — August 2024
▼ -2.8% vs prior (3,699)
The number of hit-and-run crashes decreased from 3,699 in August 2023 to 3,595 in August 2024. This corresponded with a slight drop in the hit-and-run rate, which fell from 17.8% to 17.6% of all crashes. The overall trend for hit-and-run incidents shows a marginal decline year-over-year.
Vulnerable Road User Casualties
13
Pedestrians Killed
117
Motorists Killed
197
Pedestrians Injured
7,965
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The time of day when crashes were most frequent remained consistent, with the 4 p.m. hour being the peak in both August 2024 (1,763 crashes) and August 2023 (1,891 crashes). However, the peak day for crashes shifted from Thursday in the prior year (3,814 crashes) to Friday in the current period (3,848 crashes). Weekday crash distribution also changed, with Friday seeing a substantial increase in incidents compared to the previous year.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes worsened year-over-year. The number of fatal crashes increased from 99 to 118, raising their share of all crashes from 0.5% to 0.6%. Similarly, serious injury crashes rose from 605 to 632, accounting for 3.1% of all incidents compared to 2.9% in the prior year. Conversely, the proportion of crashes involving minor or possible injuries decreased slightly from a combined 24.5% to 24.1%.
Severity is per crash event (most severe injury). 118 fatal crash events resulted in 130 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Most severe injury per crash record
Road & Environmental Conditions
The distribution of crashes by environmental conditions shifted towards better weather year-over-year. Crashes occurring in clear weather made up 76.1% of the total in August 2024, up from 70.9% in August 2023. Correspondingly, crashes in rainy conditions decreased from 9.1% to 5.9% of the total. The proportion of incidents on dry road surfaces increased from 85.6% to 90.3%, while the share of crashes during daylight hours remained stable at approximately 75.6%.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Road surface condition field
Vehicles & Demographics
The top vehicle makes involved in crashes remained largely unchanged, with Chevrolet (5,294) and Ford (5,056) leading in August 2024, consistent with the prior year. The most common vehicle types were also stable, dominated by Passenger Cars, Sport Utility Vehicles, and Pickups in both periods. The age demographics of persons involved in crashes showed minimal year-over-year shifts, with all age groups maintaining similar proportions of the total.
Top Vehicle Makes (37,634 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Vehicle unit records
3,065 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (45,293 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · 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: 2024-08-01 through 2024-08-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2024-08-01 through 2024-08-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 20,475
- Total persons involved: 47,705
- Total vehicles involved: 37,634
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: August 2024." Published July 5, 2026. Reporting period: 2024-08-01 to 2024-08-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/august-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: 2024-08-01 – 2024-08-31
Generated: July 5, 2026 · All rights reserved