ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · JULY 2023
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/july-2023-report
Monthly Traffic Safety Analysis
20,033 CRASHES IN
OHIO, OH
JULY 2023
In July 2023, Ohio recorded 20,033 total traffic crashes, a 0.6% decrease from the 20,162 crashes reported in July 2022. While overall crash volume remained stable, the data shows a notable 31.8% year-over-year increase in bicycle-involved crashes, rising from 132 to 174 incidents. Concurrently, total fatalities decreased by 8.4% from 131 to 120.
20,033
▼ -0.6%was 20,162
Total Crash Events
120
▼ -8.4%was 131
Persons Killed
8,170
▲ 2.3%was 7,983
Persons Injured
3,863
▲ 2.8%was 3,759
Hit-and-Run Crashes
Note: "Persons Killed" (120) counts individual fatalities across all crash events. "Fatal" in the severity table below (114) 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 · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic crash trends in Ohio for July show a slight year-over-year decrease in overall volume, with 129 fewer crashes in July 2023 compared to July 2022, a 0.6% reduction. While total crashes and fatalities (down 8.4%) declined, the number of people injured increased by 2.3%, from 7,983 to 8,170. This indicates a largely stable trend in crash volume with a mixed change in outcomes.
3,863
Hit-and-Run Crashes — July 2023
▲ 2.8% vs prior (3,759)
Hit-and-run incidents increased in both absolute numbers and as a percentage of total crashes. In July 2023, there were 3,863 hit-and-run crashes, up from 3,759 in July 2022, representing a 2.8% increase. The hit-and-run rate also climbed, rising from 18.6% of all crashes in the prior year to 19.3% in the current period.
Vulnerable Road User Casualties
14
Pedestrians Killed
106
Motorists Killed
180
Pedestrians Injured
7,990
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-07-01 to 2023-07-31 · 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 the two periods. In July 2023, the peak day for crashes was Monday with 3,319 incidents, a change from July 2022 when Friday was the peak day with 3,833 crashes. The peak hour for crashes also moved slightly later, from the 4 PM hour in 2022 (1,659 crashes) to the 5 PM hour in 2023 (1,636 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity distribution of crashes remained largely consistent year-over-year, with the fatal crash rate decreasing slightly from 0.60% in July 2022 to 0.57% in July 2023. The proportion of crashes resulting in serious injuries saw a minor increase from 3.0% to 3.1% of all crashes. Correspondingly, crashes with no injuries decreased as a share of the total, from 72.2% to 71.6%.
Severity is per crash event (most severe injury). 114 fatal crash events resulted in 120 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record
Road & Environmental Conditions
The environmental conditions under which crashes occurred were largely similar year-over-year, with most incidents happening in daylight (75.3% in 2023 vs 74.9% in 2022) and on dry roads (84.7% in 2023 vs 85.4% in 2022). A minor shift was observed in weather conditions, with the proportion of crashes in clear weather decreasing from 71.0% to 67.7%, and crashes in cloudy conditions increasing from 18.5% to 20.8%. The share of crashes in rainy conditions remained stable at approximately 9.3%.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes showed little change, with Chevrolet, Ford, Honda, Toyota, and Dodge remaining the top five most common makes in both July 2023 and July 2022. Similarly, the age distribution of persons involved in crashes was largely consistent. However, there was a slight increase in the proportion of individuals aged 65 and older, who accounted for 11.2% of persons involved in crashes in 2023, up from 10.7% in the prior year.
Top Vehicle Makes (36,284 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records
3,660 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (43,342 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2023-07-01 through 2023-07-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 20,033
- Total persons involved: 46,136
- Total vehicles involved: 36,284
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: July 2023." Published July 5, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/july-2023-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: 2023-07-01 – 2023-07-31
Generated: July 5, 2026 · All rights reserved