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
20,169 CRASHES IN
OHIO, OH
APRIL 2022
In April 2022, there were 20,169 total crashes, a 4.0% decrease from the 20,999 crashes recorded in April 2021. Despite the overall reduction in crashes and a corresponding 8.8% drop in injuries, the most notable year-over-year change was an 11.5% increase in total fatalities, which rose from 104 to 116.
20,169
▼ -4.0%was 20,999
Total Crash Events
116
▲ 11.5%was 104
Persons Killed
7,497
▼ -8.8%was 8,218
Persons Injured
3,688
▼ -7.5%was 3,989
Hit-and-Run Crashes
Note: "Persons Killed" (116) counts individual fatalities across all crash events. "Fatal" in the severity table below (106) 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
Overall traffic crash volume decreased in April 2022 compared to the same month in the prior year. Total crashes fell by 4.0%, from 20,999 to 20,169. However, this downward trend did not extend to the most severe outcomes, as total fatalities increased from 104 to 116.
3,688
Hit-and-Run Crashes — April 2022
▼ -7.5% vs prior (3,989)
Hit-and-run incidents decreased both in absolute numbers and as a percentage of total crashes. In April 2022, there were 3,688 hit-and-run crashes, down from 3,989 in the same month of the previous year. The hit-and-run rate also declined, falling from 19.0% of all crashes in April 2021 to 18.3% in April 2022.
Vulnerable Road User Casualties
11
Pedestrians Killed
105
Motorists Killed
169
Pedestrians Injured
7,328
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 remained broadly consistent year-over-year, with Friday being the peak day and 4 p.m. being the peak hour in both periods. In April 2022, Friday saw 3,923 crashes, compared to 3,994 in April 2021. The peak 4 p.m. hour recorded 1,752 crashes in the current period, down from 1,817 in the prior year.
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
While total crashes decreased, the severity of outcomes worsened year-over-year. The number of fatal crashes rose from 96 to 106, and the fatal crash rate increased from 0.46% to 0.53% of all crashes. The proportion of crashes resulting in minor injuries decreased from 14.0% to 12.9%, while the share of no-injury crashes increased from 72.4% to 73.8%.
Severity is per crash event (most severe injury). 106 fatal crash events resulted in 116 persons killed.
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
The proportion of crashes occurring in adverse conditions increased in April 2022 compared to the prior year. Crashes on wet roads accounted for 22.0% of the total, up from 17.4% in April 2021, and the share of crashes during rain increased from 10.5% to 12.7%. In contrast, the distribution of crashes by lighting conditions remained stable, with approximately 71% of incidents in both periods occurring during daylight.
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
The top three vehicle makes involved in crashes remained consistent year-over-year: Chevrolet, Ford, and Honda, although the number of crashes involving Chevrolet and Ford vehicles decreased. The age demographics of persons involved in crashes also showed a similar pattern between the two periods. The 26-34 age group represented the largest cohort of individuals in both April 2022 (7,230 persons) and April 2021 (7,790 persons), with no significant shifts in proportional representation among age groups.
Top Vehicle Makes (36,696 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-04-01 to 2022-04-30 · Vehicle unit records
3,451 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (42,950 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 5, 2026
Data Coverage
- Reporting period: 2022-04-01 through 2022-04-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 20,169
- Total persons involved: 45,593
- Total vehicles involved: 36,696
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 5, 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 5, 2026 · All rights reserved