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
191 CRASHES IN
OHIO, OH
JULY 2023
In July 2023, Allen County recorded 191 traffic crashes, a 14.0% decrease from the 222 crashes documented in July 2022. The most significant year-over-year change was the reduction in traffic-related fatalities from three to one and a 34.5% decrease in total injuries from 87 to 57.
191
▼ -14.0%was 222
Total Crash Events
1
▼ -66.7%was 3
Persons Killed
57
▼ -34.5%was 87
Persons Injured
37
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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
Overall traffic safety trends in Allen County improved in July 2023 compared to the same month in the previous year. Total crashes decreased by 14.0%, from 222 to 191. This downward trend was also reflected in the number of people harmed, with total injuries falling by 34.5% (from 87 to 57) and fatalities decreasing from three to one.
37
Hit-and-Run Crashes — July 2023
▼ 0.0% vs prior (37)
The absolute number of hit-and-run crashes remained unchanged, with 37 incidents recorded in both July 2023 and July 2022. However, because the total number of crashes decreased in the current period, the hit-and-run rate increased. Hit-and-runs constituted 19.4% of all crashes in July 2023, up from 16.7% in the same month of the previous year.
Vulnerable Road User Casualties
1
Motorists Killed
57
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 32 incidents, a change from July 2022 when Friday was the peak day with 46 crashes. Similarly, the peak hour for collisions moved from noon in the prior year to the 3 p.m. hour in the current period.
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
Crash severity decreased in July 2023 compared to July 2022. The number of fatal crashes fell from three to one, with the fatal crash rate dropping from 1.35% to 0.52%. While the proportion of serious injury crashes saw a slight increase from 2.3% to 3.1%, the overall share of crashes resulting in any injury (serious, minor, or possible) declined from 23.9% in the prior year to 19.4% in the current period.
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 proportion of crashes occurring in adverse conditions was lower in July 2023 compared to the prior year. Crashes on wet roads decreased from 14.9% of the total in July 2022 to 8.4% in July 2023. Similarly, crashes during rainfall dropped from 12.6% to 5.8% of all incidents. The proportion of crashes occurring in dark or low-light conditions remained relatively stable, accounting for approximately 21% of crashes in both periods.
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 types of vehicles involved in crashes remained broadly consistent year-over-year, with passenger cars, SUVs, and pickup trucks being the most common in both periods. Ford and Chevrolet were the top two makes involved in collisions in both July 2023 and July 2022, although the number of Fords involved decreased from 74 to 58. The involvement of semi-tractors in crashes also saw a notable reduction, dropping from 18 vehicles in the prior year to 10 in the current period.
Top Vehicle Makes (334 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records
34 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (385 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 6, 2026
Data Coverage
- Reporting period: 2023-07-01 through 2023-07-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 191
- Total persons involved: 413
- Total vehicles involved: 334
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 6, 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 6, 2026 · All rights reserved