ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · JULY 2022
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-2022-report
Monthly Traffic Safety Analysis
222 CRASHES IN
OHIO, OH
JULY 2022
In July 2022, Allen County recorded 222 total traffic crashes, a 3.3% increase from the 215 crashes documented in July 2021. While the overall crash volume remained relatively stable, the most significant year-over-year change was the occurrence of 3 fatalities in the current period, compared to none in the prior year.
222
▲ 3.3%was 215
Total Crash Events
3
Persons Killed
87
▲ 3.6%was 84
Persons Injured
37
▼ -9.8%was 41
Hit-and-Run Crashes
Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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 · 2022-07-01 to 2022-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends in Allen County show a slight increase in July 2022 compared to the same month in 2021. Total crashes rose from 215 to 222, while total injuries increased marginally from 84 to 87. The most notable change was in crash severity, with fatalities increasing from zero to three.
37
Hit-and-Run Crashes — July 2022
▼ -9.8% vs prior (41)
Hit-and-run incidents decreased in July 2022 compared to the previous year. The total count of hit-and-run crashes fell from 41 to 37. This resulted in a lower hit-and-run rate, which dropped from 19.1% of all crashes in July 2021 to 16.7% in July 2022.
Vulnerable Road User Casualties
1
Pedestrians Killed
2
Motorists Killed
2
Pedestrians Injured
85
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-07-01 to 2022-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes shifted between the two periods. In July 2022, Friday was the peak day for crashes with 46 incidents, and the peak hour was noon with 19 crashes. This is a change from July 2021, when Tuesday was the peak day (41 crashes) and 3 p.m. was the peak hour (20 crashes). A larger portion of crashes occurred on weekends (Friday-Sunday) in the current period, totaling 124 incidents compared to 86 in the prior year.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-07-01 to 2022-07-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-07-01 to 2022-07-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity increased in July 2022, with 3 fatal crashes (1.4% of total) compared to zero in July 2021. The proportion of serious injury crashes was unchanged at 2.3% in both periods. However, the percentage of minor injury crashes decreased from 17.2% to 12.2%, while crashes resulting in no injury rose from 72.1% to 74.8% of all incidents.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-07-01 to 2022-07-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-07-01 to 2022-07-31 · Most severe injury per crash record
Road & Environmental Conditions
The conditions under which crashes occurred were broadly similar year-over-year, with most incidents happening in clear weather on dry roads. The proportion of crashes in rainy weather saw a small increase from 8.8% (19 crashes) in July 2021 to 12.6% (28 crashes) in July 2022. Similarly, crashes on wet roads rose from 13.5% to 14.9% of the total, while crashes in dark or dusk conditions decreased slightly from 29.3% to 26.6%.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-07-01 to 2022-07-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-07-01 to 2022-07-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-07-01 to 2022-07-31 · Road surface condition field
Vehicles & Demographics
While Passenger Cars remained the most common vehicle in crashes, their count decreased from 190 to 173 year-over-year, while Sport Utility Vehicles increased from 73 to 87. Ford became the most frequent vehicle make involved in crashes with 74 vehicles, overtaking Chevrolet, which had 57 in the prior period. Among persons involved, the 16-20 age group saw an increase from 60 individuals in July 2021 to 70 in July 2022.
Top Vehicle Makes (385 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-07-01 to 2022-07-31 · Vehicle unit records
33 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (465 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-07-01 to 2022-07-31 · 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: 2022-07-01 through 2022-07-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2022-07-01 through 2022-07-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 222
- Total persons involved: 493
- Total vehicles involved: 385
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 2022." Published July 6, 2026. Reporting period: 2022-07-01 to 2022-07-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/july-2022-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: 2022-07-01 – 2022-07-31
Generated: July 6, 2026 · All rights reserved