ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · MAY 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/may-2022-report
Monthly Traffic Safety Analysis
22,549 CRASHES IN
OHIO, OH
MAY 2022
In May 2022, there were 22,549 crashes in Ohio, a 2.0% decrease from the 23,002 crashes recorded in May 2021. While overall incidents and fatalities declined, pedestrian fatalities increased significantly, rising from 7 in the prior period to 19 in the current period. The rate of DUI-involved crashes also saw a notable decrease, falling from 5.6% to 4.4% of all crashes.
22,549
▼ -2.0%was 23,002
Total Crash Events
116
▼ -4.9%was 122
Persons Killed
8,700
▼ -5.2%was 9,182
Persons Injured
3,878
▼ -13.1%was 4,461
Hit-and-Run Crashes
Note: "Persons Killed" (116) counts individual fatalities across all crash events. "Fatal" in the severity table below (105) 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 · 2022-05-01 to 2022-05-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for May 2022 indicates a general downward trend compared to the same month in the previous year. Total crashes fell by 2.0% from 23,002 to 22,549. Similarly, total injuries decreased by 5.2% from 9,182 to 8,700, and total fatalities saw a 4.9% reduction from 122 to 116.
3,878
Hit-and-Run Crashes — May 2022
▼ -13.1% vs prior (4,461)
Hit-and-run incidents decreased in both volume and rate in May 2022 compared to May 2021. The total number of hit-and-run crashes fell by 13.1% from 4,461 to 3,878. As a percentage of all crashes, the hit-and-run rate declined from 19.4% in the prior period to 17.2% in the current period.
Vulnerable Road User Casualties
19
Pedestrians Killed
97
Motorists Killed
171
Pedestrians Injured
8,529
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-05-01 to 2022-05-31 · 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 May 2022, the peak day for crashes was Tuesday with 3,830 incidents, a change from Friday (3,619 crashes) in May 2021. The peak hour also shifted slightly later in the day, from 3 PM (1,957 crashes) in the prior year to 4 PM (2,026 crashes) in the current period.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-05-01 to 2022-05-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-05-01 to 2022-05-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity of crashes showed a slight decrease year-over-year. The proportion of fatal crashes remained stable at 0.5% of all incidents in both May 2021 and May 2022. However, the share of crashes resulting in any level of injury (Serious, Minor, or Possible) declined from 27.8% in the prior period to 26.6% in the current period, with a corresponding increase in the proportion of non-injury crashes from 71.7% to 73.0%.
Severity is per crash event (most severe injury). 105 fatal crash events resulted in 116 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-05-01 to 2022-05-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-05-01 to 2022-05-31 · Most severe injury per crash record
Road & Environmental Conditions
Crashes occurring in adverse weather and road conditions made up a larger proportion of the total in May 2022 compared to the previous year. The share of crashes on wet roads increased from 16.7% to 20.4%, and incidents during rain grew from 11.8% to 14.1% of the total. Consequently, the proportion of crashes on dry roads and in clear weather saw a corresponding decrease.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-05-01 to 2022-05-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-05-01 to 2022-05-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-05-01 to 2022-05-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes—Chevrolet, Ford, and Honda—remained the same in both periods, with only minor changes in their total counts. While Passenger Cars continued to be the most frequent vehicle type involved, their share of total vehicles decreased from 51.0% to 49.5% year-over-year. In contrast, the involvement of Sport Utility Vehicles grew from 22.6% to 23.9% of all vehicles in crashes. The age distribution of persons involved in collisions remained consistent, with no significant shifts observed.
Top Vehicle Makes (40,829 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-05-01 to 2022-05-31 · Vehicle unit records
3,661 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (49,436 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-05-01 to 2022-05-31 · 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: 2022-05-01 through 2022-05-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2022-05-01 through 2022-05-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 22,549
- Total persons involved: 52,315
- Total vehicles involved: 40,829
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: May 2022." Published July 5, 2026. Reporting period: 2022-05-01 to 2022-05-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/may-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: 2022-05-01 – 2022-05-31
Generated: July 5, 2026 · All rights reserved