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
277 CRASHES IN
OHIO, OH
MAY 2022
In May 2022, Allen County recorded 277 traffic crashes, a 22.0% increase from the 227 crashes reported in May 2021. Despite the rise in total collisions and an increase in injuries from 94 to 108, the number of fatalities fell from one to zero year-over-year. One of the most notable shifts was a decrease in crashes involving a DUI, which fell from 18 to 10.
277
▲ 22.0%was 227
Total Crash Events
0
▼ -100.0%was 1
Persons Killed
108
▲ 14.9%was 94
Persons Injured
38
▲ 5.6%was 36
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 · 2022-05-01 to 2022-05-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic crashes in Allen County showed a distinct upward trend in the year-over-year comparison for May. Total crashes increased by 22.0%, rising from 227 in May 2021 to 277 in May 2022. This was accompanied by a 14.9% increase in total injuries from 94 to 108, even as fatalities dropped to zero from one in the prior year.
38
Hit-and-Run Crashes — May 2022
▲ 5.6% vs prior (36)
The total number of hit-and-run incidents increased slightly from 36 in May 2021 to 38 in May 2022. However, because total crashes increased at a faster pace, the rate of hit-and-runs relative to all crashes showed a downward trend. The hit-and-run rate fell from 15.9% of all crashes in the prior period to 13.7% in the current period.
Vulnerable Road User Casualties
0
Motorists Killed
108
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 remained focused on the latter part of the week and the afternoon commute. The peak hour for crashes shifted slightly from 3 p.m. in May 2021 (30 crashes) to 4 p.m. in May 2022 (26 crashes). The busiest days for crashes in the current period were Friday and Saturday (44 crashes each), compared to Monday and Saturday in the prior period (38 crashes each). Notably, crashes during the 5 a.m. hour increased from zero in 2021 to 11 in 2022.
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
Crash severity improved with the elimination of fatalities, which dropped from one in May 2021 to zero in May 2022. The number of serious injury crashes remained unchanged at six incidents in both periods. While the absolute number of injury-related crashes increased, the overall proportion of crashes involving any injury was nearly identical at 26.4% in May 2022 versus 26.0% in May 2021. The share of no-injury crashes also held steady at 73.6% for both periods.
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
While most crashes in both periods occurred in clear weather and on dry roads, May 2022 saw a higher proportion of incidents in adverse conditions compared to the previous year. The number of crashes on wet roads more than doubled from 24 to 55, with their share of total crashes increasing from 10.6% to 19.9%. Correspondingly, collisions during rainy conditions increased from 21 to 40. The proportion of crashes occurring during daylight hours decreased from 72.7% in May 2021 to 66.1% in May 2022.
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
Ford (102 vehicles) and Chevrolet (71 vehicles) remained the top two vehicle makes involved in crashes, with both seeing an increase in counts from the prior year. When analyzing the age of persons involved, the 16-20 and 26-34 age groups were the most represented in both periods. The number of individuals in the 45-54 and 55-64 age brackets involved in crashes saw substantial year-over-year increases, rising from 42 to 79 and 51 to 80, respectively.
Top Vehicle Makes (478 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-05-01 to 2022-05-31 · Vehicle unit records
28 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (616 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 6, 2026
Data Coverage
- Reporting period: 2022-05-01 through 2022-05-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 277
- Total persons involved: 639
- Total vehicles involved: 478
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 6, 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 6, 2026 · All rights reserved