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
20,162 CRASHES IN
OHIO, OH
JULY 2022
In July 2022, there were 20,162 total crashes, a decrease from 22,107 crashes in July 2021, representing an 8.8% year-over-year reduction. The most notable shift was this overall decline in crashes, which was accompanied by corresponding decreases in total fatalities and injuries. Key metrics such as hit-and-run incidents and DUI-related crashes also saw a decline.
20,162
▼ -8.8%was 22,107
Total Crash Events
131
▼ -10.9%was 147
Persons Killed
7,983
▼ -13.4%was 9,222
Persons Injured
3,759
▼ -13.2%was 4,332
Hit-and-Run Crashes
Note: "Persons Killed" (131) counts individual fatalities across all crash events. "Fatal" in the severity table below (120) 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
Traffic safety metrics showed a positive trend in July 2022 compared to the same month in the prior year. Total crashes fell from 22,107 to 20,162. Similarly, the number of fatalities decreased from 147 to 131, and total injuries dropped from 9,222 to 7,983, indicating a general improvement in road safety outcomes for the period.
3,759
Hit-and-Run Crashes — July 2022
▼ -13.2% vs prior (4,332)
Hit-and-run incidents decreased in both count and rate year-over-year. The total number of hit-and-run crashes fell from 4,332 in July 2021 to 3,759 in July 2022. The hit-and-run rate, as a percentage of all crashes, also trended downward from 19.6% to 18.6%.
Vulnerable Road User Casualties
15
Pedestrians Killed
116
Motorists Killed
182
Pedestrians Injured
7,801
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 temporal distribution of crashes remained consistent year-over-year. Friday was the day with the most crashes in both July 2022 (3,833) and July 2021 (4,033). The 4 p.m. hour was the peak time for collisions in both periods, with 1,659 crashes in the current period and 1,911 in the prior. While the peak times did not shift, the volume of crashes during these peaks decreased.
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
The severity of crashes showed a slight shift toward less severe outcomes. The fatal crash rate decreased marginally from 0.62% in July 2021 to 0.60% in July 2022. While the proportion of serious injury crashes held steady at 3.0%, the share of 'Possible Injury' crashes declined from 11.0% to 9.8%. Correspondingly, the proportion of 'No Injury' crashes increased from 70.8% to 72.2% of all incidents.
Severity is per crash event (most severe injury). 120 fatal crash events resulted in 131 persons killed.
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 distribution of crashes across various environmental conditions saw no significant shifts between July 2021 and July 2022. In both periods, a vast majority of incidents occurred in daylight (approximately 75%) and on dry road surfaces (approximately 85%). The proportion of crashes happening in clear weather was 71.0% in the current period, slightly up from 68.2% in the prior period, though the absolute number of crashes under all conditions decreased.
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
Vehicle and person demographics involved in crashes remained stable year-over-year. The top five vehicle makes—Chevrolet, Ford, Honda, Toyota, and Dodge—were identical in rank for both periods, with involvement counts for each decreasing in line with the overall trend. The distribution of involved persons by age group also showed no significant changes, with the 26-34 age group consistently representing the largest share in both July 2022 and July 2021.
Top Vehicle Makes (36,650 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-07-01 to 2022-07-31 · Vehicle unit records
3,431 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (43,510 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 5, 2026
Data Coverage
- Reporting period: 2022-07-01 through 2022-07-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 20,162
- Total persons involved: 46,144
- Total vehicles involved: 36,650
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 5, 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 5, 2026 · All rights reserved