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
20,098 CRASHES IN
OHIO, OH
MARCH 2022
In March 2022, Ohio recorded 20,098 traffic crashes, a 3.0% increase from the 19,520 crashes reported in March 2021. While overall collisions rose, fatalities decreased by 8.8% from 102 to 93. A notable year-over-year shift was the significant increase in crashes occurring in snowy conditions, which rose from 32 to 1,160.
20,098
▲ 3.0%was 19,520
Total Crash Events
93
▼ -8.8%was 102
Persons Killed
7,279
▼ -1.8%was 7,414
Persons Injured
3,642
▼ -6.3%was 3,886
Hit-and-Run Crashes
Note: "Persons Killed" (93) counts individual fatalities across all crash events. "Fatal" in the severity table below (79) 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 crash volume in Ohio saw a slight increase of 3.0% in March 2022 compared to the same month in the prior year, rising from 19,520 to 20,098. Despite the rise in total incidents, the number of people killed and injured decreased by 8.8% (from 102 to 93) and 1.8% (from 7,414 to 7,279) respectively.
3,642
Hit-and-Run Crashes — March 2022
▼ -6.3% vs prior (3,886)
Hit-and-run incidents decreased in both absolute numbers and as a proportion of total crashes. In March 2022, there were 3,642 hit-and-run crashes, down from 3,886 in March 2021. The hit-and-run rate, representing the percentage of all crashes that were hit-and-runs, also trended downward, falling from 19.9% to 18.1% year-over-year.
Vulnerable Road User Casualties
8
Pedestrians Killed
85
Motorists Killed
161
Pedestrians Injured
7,118
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 remained largely consistent year-over-year, with Wednesday being the peak day and 3 p.m. the peak hour in both March 2022 and March 2021. A notable shift occurred in the daily distribution, as crashes on Thursday increased from 2,673 to 3,404, making it the second-busiest day in March 2022. In contrast, crashes on Monday and Tuesday saw a year-over-year decrease.
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
The rate of fatal crashes per 100 collisions decreased from 0.44 in March 2021 to 0.39 in March 2022, with the total number of fatal crashes falling from 86 to 79. The overall proportion of crashes resulting in any level of injury (serious, minor, or possible) declined from 26.7% to 24.9% year-over-year. Correspondingly, crashes with no reported injuries increased their share from 72.9% to 74.7% of all incidents.
Severity is per crash event (most severe injury). 79 fatal crash events resulted in 93 persons killed.
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
A significant shift in driving conditions occurred between the two periods, primarily related to weather. In March 2022, crashes during snowy weather increased dramatically to 1,160 from just 32 in March 2021, and crashes on snow-covered roads rose from 20 to 736. Consequently, the proportion of crashes on dry roads decreased from 87.9% in the prior year to 75.5% in the current year. Lighting conditions remained relatively stable, with daylight crashes accounting for 63.4% of incidents in March 2022, similar to 65.4% in March 2021.
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
The composition of vehicles and persons involved in crashes showed little change year-over-year. The top five vehicle makes involved in collisions remained the same in both March 2022 and March 2021: Chevrolet, Ford, Honda, Toyota, and Dodge, with only minor variations in their total counts. Similarly, the age distribution of all persons involved in crashes was consistent, with the 26-34 age group representing the largest share in both periods (16.0% in 2022 vs. 16.4% in 2021).
Top Vehicle Makes (35,854 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-03-01 to 2022-03-31 · Vehicle unit records
3,436 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (42,246 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 5, 2026
Data Coverage
- Reporting period: 2022-03-01 through 2022-03-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 20,098
- Total persons involved: 44,921
- Total vehicles involved: 35,854
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 5, 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 5, 2026 · All rights reserved