ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · AUGUST 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/august-2023-report
Monthly Traffic Safety Analysis
207 CRASHES IN
OHIO, OH
AUGUST 2023
In August 2023, Allen County recorded 207 total crashes, a 3.7% decrease from the 215 crashes reported in August 2022. While overall collisions declined, the number of crashes involving bicycles increased from zero in the prior year to five in the current period. Total injuries saw a slight increase from 87 to 95, despite the lower crash volume, and no fatalities were recorded in either period.
207
▼ -3.7%was 215
Total Crash Events
0
Persons Killed
95
▲ 9.2%was 87
Persons Injured
37
▼ -19.6%was 46
Hit-and-Run Crashes
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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 · 2023-08-01 to 2023-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year, total traffic crashes in Allen County showed a modest decline, falling by 3.7% from 215 in August 2022 to 207 in August 2023. Despite this decrease in total incidents, the number of people injured rose by 9.2%, from 87 to 95. No fatalities were recorded in either period.
37
Hit-and-Run Crashes — August 2023
▼ -19.6% vs prior (46)
Hit-and-run incidents decreased in both absolute numbers and as a percentage of total crashes. In August 2023, there were 37 hit-and-run crashes, down from 46 in August 2022. This represents a decline in the hit-and-run rate from 21.4% of all crashes in the prior year to 17.9% in the current year.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Motorists Killed
2
Pedestrians Injured
93
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-08-01 to 2023-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between the two periods. In August 2023, the highest number of crashes occurred on Wednesday (43) and during the 12 p.m. hour (23). This contrasts with August 2022, when crashes peaked on Monday (41) and during the 3 p.m. hour (28), indicating a shift from an end-of-day peak to a midday peak.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-08-01 to 2023-08-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-08-01 to 2023-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity profiles remained broadly similar year-over-year, with no fatal crashes reported in either August 2023 or August 2022. The proportion of crashes resulting in an injury increased from 38.8% in the prior period to 41.4% in the current period. This was driven by a rise in minor injury crashes, which accounted for 16.4% of all incidents compared to 14.4% a year earlier, while the share of no-injury crashes decreased from 71.2% to 68.6%.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-08-01 to 2023-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-08-01 to 2023-08-31 · Most severe injury per crash record
Road & Environmental Conditions
Environmental conditions for crashes were largely consistent year-over-year, with the vast majority of incidents in both periods occurring on dry roads (87.0% in both years). The most notable shift was in lighting conditions, where the proportion of crashes happening during daylight increased from 69.3% in August 2022 to 78.7% in August 2023. Crashes in rainy conditions remained stable, with 17 incidents in the current period versus 16 in the prior period.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-08-01 to 2023-08-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-08-01 to 2023-08-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-08-01 to 2023-08-31 · Road surface condition field
Vehicles & Demographics
Passenger cars, sport utility vehicles, and pickups were the most common vehicles involved in crashes in both periods. While the number of passenger cars involved decreased from 199 to 178, the number of pickups increased from 47 to 55. Among vehicle makes, Ford (65) and Chevrolet (61) remained the top two most frequently involved. Notably, the count of Honda vehicles involved in crashes increased significantly from 20 to 36 year-over-year, while Kia-involved vehicles were halved, dropping from 22 to 11.
Top Vehicle Makes (385 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-08-01 to 2023-08-31 · Vehicle unit records
31 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (468 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-08-01 to 2023-08-31 · 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: 2023-08-01 through 2023-08-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2023-08-01 through 2023-08-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 207
- Total persons involved: 498
- 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: August 2023." Published July 6, 2026. Reporting period: 2023-08-01 to 2023-08-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/august-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: 2023-08-01 – 2023-08-31
Generated: July 6, 2026 · All rights reserved