ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · APRIL 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/april-2022-report
Monthly Traffic Safety Analysis
212 CRASHES IN
OHIO, OH
APRIL 2022
In April 2022, Allen County recorded 212 total crashes, a 13.8% decrease from the 246 crashes documented in April 2021. This downward trend was also reflected in casualties, with total injuries falling from 122 to 92 and fatalities decreasing from two to one over the same period. The most notable shift was the increase in the proportion of crashes occurring in adverse conditions, despite the overall drop in incidents.
212
▼ -13.8%was 246
Total Crash Events
1
▼ -50.0%was 2
Persons Killed
92
▼ -24.6%was 122
Persons Injured
43
▲ 4.9%was 41
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 · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for Allen County indicates a year-over-year improvement in traffic safety for the month of April. Total crashes fell by 13.8%, from 246 in April 2021 to 212 in April 2022. This positive trend included a reduction in both fatalities, which decreased from two to one, and total injuries, which dropped by 24.6% from 122 to 92.
43
Hit-and-Run Crashes — April 2022
▲ 4.9% vs prior (41)
The number of hit-and-run crashes remained relatively stable, with 43 incidents in April 2022 compared to 41 in April 2021. However, because the total number of crashes decreased during this period, the hit-and-run rate trended upward. In April 2022, hit-and-runs accounted for 20.3% of all crashes, an increase from the 16.7% rate recorded in the same month of the previous year.
Vulnerable Road User Casualties
0
Pedestrians Killed
1
Motorists Killed
3
Pedestrians Injured
89
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-04-01 to 2022-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in Allen County shifted between April 2021 and April 2022. The peak day for crashes moved from Thursday (49 crashes) in the prior year to Friday (53 crashes) in the current period. Similarly, the peak hour for collisions shifted later in the evening, from 4 p.m. (25 crashes) in 2021 to 6 p.m. (17 crashes) in 2022.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes in Allen County generally decreased year-over-year. In April 2022, there was one fatal crash, down from two in April 2021, and the fatal crash rate fell from 0.81 to 0.47 per 100 crashes. The proportion of crashes resulting in any form of injury also declined from 32.1% to 27.8%, while no-injury crashes constituted a larger share of the total, rising from 67.9% to 72.2%.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-04-01 to 2022-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record
Road & Environmental Conditions
While most crashes in both periods occurred in clear weather on dry roads, there was a notable shift toward more adverse conditions in April 2022. The proportion of crashes happening in the rain increased from 8.9% in April 2021 to 16.0% in April 2022. Correspondingly, crashes on wet road surfaces rose from 16.7% to 27.4% of the total. Additionally, a smaller share of collisions took place in daylight (65.6% vs. 74.8% a year prior), with a corresponding increase in crashes under dark conditions.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-04-01 to 2022-04-30 · Road surface condition field
Vehicles & Demographics
Passenger cars, Sport Utility Vehicles, and Pick-up trucks were the most common vehicles involved in crashes in both periods, though the number of SUVs involved saw a notable decrease from 100 in April 2021 to 68 in April 2022. Conversely, the count of semi-tractors in collisions increased from 11 to 18. Among vehicle makes, Ford and Chevrolet were tied for the most-involved make in April 2022 with 62 vehicles each, a change from the prior year when Ford (75) led Chevrolet (74).
Top Vehicle Makes (363 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-04-01 to 2022-04-30 · Vehicle unit records
35 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (423 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-04-01 to 2022-04-30 · 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: 2022-04-01 through 2022-04-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2022-04-01 through 2022-04-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 212
- Total persons involved: 453
- Total vehicles involved: 363
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: April 2022." Published July 6, 2026. Reporting period: 2022-04-01 to 2022-04-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/april-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: 2022-04-01 – 2022-04-30
Generated: July 6, 2026 · All rights reserved