ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · MARCH 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/march-2022-report
Monthly Traffic Safety Analysis
214 CRASHES IN
OHIO, OH
MARCH 2022
In March 2022, Allen County recorded 214 total crashes, an 8.5% decrease from the 234 crashes reported in March 2021. Despite the overall decline in collisions, the number of crashes involving a driver under the influence more than doubled, increasing from 7 to 16 year-over-year. Total injuries also saw a decrease from 84 in the prior period to 66 in the current period.
214
▼ -8.5%was 234
Total Crash Events
0
Persons Killed
66
▼ -21.4%was 84
Persons Injured
52
▲ 36.8%was 38
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 · 2022-03-01 to 2022-03-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic collisions in Allen County trended downward in March 2022 compared to the same month in the prior year. Total crashes decreased by 8.5%, from 234 to 214. The number of people injured in these incidents also fell by 21.4%, from 84 to 66, while fatalities remained at zero for both periods.
52
Hit-and-Run Crashes — March 2022
▲ 36.8% vs prior (38)
Hit-and-run incidents increased significantly in March 2022 compared to the same month a year prior. The total number of hit-and-run crashes rose from 38 to 52, representing a 36.8% increase. Consequently, the hit-and-run rate, or the proportion of all crashes that were hit-and-runs, climbed from 16.2% in March 2021 to 24.3% in March 2022.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Motorists Killed
1
Pedestrians Injured
65
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-03-01 to 2022-03-31 · 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 a notable shift between the two periods. While Wednesday remained the day with the highest number of crashes in both March 2022 (40 crashes) and March 2021 (44 crashes), the peak hour for collisions changed significantly. In the current period, the 7 a.m. hour saw the most crashes with 25 incidents, a stark contrast to the prior year's peak at 3 p.m. with 24 crashes.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-03-01 to 2022-03-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-03-01 to 2022-03-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity generally decreased in March 2022 compared to the previous year, with zero fatal crashes recorded in either period. The number of serious injury crashes was halved, falling from 6 to 3, and their share of all crashes dropped from 2.6% to 1.4%. Similarly, minor and possible injury crashes also saw declines in both count and proportion. Consequently, the percentage of crashes resulting in no injuries increased from 74.8% in March 2021 to 79% in March 2022.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-03-01 to 2022-03-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-03-01 to 2022-03-31 · Most severe injury per crash record
Road & Environmental Conditions
Crashes in both periods occurred predominantly in clear weather and daylight on dry roads. However, March 2022 saw a higher proportion of crashes under adverse conditions compared to March 2021. Crashes on dry roads decreased from 89.3% to 82.2% of the total, with 8 crashes on ice and 4 on snow reported in the current period, conditions not present in the prior year's data. Similarly, crashes in clear weather dropped from 73.5% to 63.1% of all incidents year-over-year.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-03-01 to 2022-03-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-03-01 to 2022-03-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-03-01 to 2022-03-31 · Road surface condition field
Vehicles & Demographics
An analysis of vehicles involved shows a shift in the top makes, with Chevrolet (65 vehicles) surpassing Ford (55 vehicles) as the most common make in crashes for March 2022; this reverses the order from March 2021 when Ford led with 86 vehicles. Regarding driver and occupant demographics, the number of individuals aged 0-15 involved in crashes doubled from 35 to 70 year-over-year. The 26-34 age group also saw an increase, rising from 63 to 74 persons involved in collisions.
Top Vehicle Makes (381 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-03-01 to 2022-03-31 · Vehicle unit records
46 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (456 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-03-01 to 2022-03-31 · 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: 2022-03-01 through 2022-03-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2022-03-01 through 2022-03-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 214
- Total persons involved: 496
- Total vehicles involved: 381
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: March 2022." Published July 6, 2026. Reporting period: 2022-03-01 to 2022-03-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/march-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: 2022-03-01 – 2022-03-31
Generated: July 6, 2026 · All rights reserved