ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · AUGUST 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/august-2022-report
Monthly Traffic Safety Analysis
21,572 CRASHES IN
OHIO, OH
AUGUST 2022
In August 2022, Ohio recorded 21,572 traffic crashes, a 5.2% decrease from the 22,766 crashes reported in August 2021. Despite the overall reduction in collisions, the number of fatalities increased by 9.8%, rising from 132 to 145 year-over-year. This divergence, with fewer crashes but more deaths, represents the most significant trend in the data.
21,572
▼ -5.2%was 22,766
Total Crash Events
145
▲ 9.8%was 132
Persons Killed
8,538
▼ -9.7%was 9,454
Persons Injured
3,812
▼ -11.5%was 4,308
Hit-and-Run Crashes
Note: "Persons Killed" (145) counts individual fatalities across all crash events. "Fatal" in the severity table below (135) 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 · 2022-08-01 to 2022-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crash volume in Ohio decreased in August 2022 compared to the same month in the prior year. Total crashes fell by 5.2% from 22,766 to 21,572, and total injuries saw a corresponding 9.7% drop from 9,454 to 8,538. However, this downward trend did not extend to fatalities, which rose by 9.8% from 132 to 145.
3,812
Hit-and-Run Crashes — August 2022
▼ -11.5% vs prior (4,308)
Hit-and-run incidents decreased in both absolute numbers and as a percentage of total crashes. The number of hit-and-run crashes fell from 4,308 in August 2021 to 3,812 in August 2022. This corresponds to a decrease in the hit-and-run rate, which dropped from 18.9% to 17.7% of all crashes.
Vulnerable Road User Casualties
21
Pedestrians Killed
124
Motorists Killed
205
Pedestrians Injured
8,333
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-08-01 to 2022-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some consistency year-over-year. The peak hour for crashes remained 4 PM in both August 2022 (1,873 crashes) and August 2021 (1,979 crashes). However, the peak day for crashes shifted from Tuesday in 2021 (3,849 crashes) to Wednesday in 2022 (3,665 crashes).
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-08-01 to 2022-08-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-08-01 to 2022-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes declined, the proportion of fatal crashes increased from 0.5% to 0.6% of all incidents year-over-year, with the count of fatal crashes rising from 122 to 135. Conversely, the share of crashes resulting in minor injuries decreased from 15.0% to 14.2%, and the proportion of crashes with no injuries increased from 70.8% to 72.2%.
Severity is per crash event (most severe injury). 135 fatal crash events resulted in 145 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-08-01 to 2022-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-08-01 to 2022-08-31 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions were generally more favorable in August 2022 compared to August 2021. The proportion of crashes occurring in the rain decreased from 9.4% to 7.3%, and crashes on wet road surfaces dropped from 14.3% to 11.2% of the total. Lighting conditions remained stable, with approximately 75.7% of crashes in both periods occurring during daylight.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-08-01 to 2022-08-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-08-01 to 2022-08-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-08-01 to 2022-08-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes remained consistent year-over-year, with Chevrolet, Ford, and Honda being the top three in both periods, though counts for each decreased. An analysis of persons involved shows a slight shift in age demographics, with the proportion of individuals aged 65 and older increasing from 10.1% to 10.9%, while the share of those aged 16-20 decreased from 11.7% to 11.2%.
Top Vehicle Makes (39,846 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-08-01 to 2022-08-31 · Vehicle unit records
3,620 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (47,627 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-08-01 to 2022-08-31 · 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: 2022-08-01 through 2022-08-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2022-08-01 through 2022-08-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 21,572
- Total persons involved: 50,304
- Total vehicles involved: 39,846
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 2022." Published July 5, 2026. Reporting period: 2022-08-01 to 2022-08-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/august-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: 2022-08-01 – 2022-08-31
Generated: July 5, 2026 · All rights reserved