ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · APRIL 2024
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-2024-report
Monthly Traffic Safety Analysis
216 CRASHES IN
OHIO, OH
APRIL 2024
In April 2024, Allen County recorded 216 total crashes, a 10.8% increase from the 195 crashes reported in April 2023. While total incidents and injuries rose year-over-year, the number of crashes involving a driver under the influence decreased by 50%, from 8 in the prior period to 4 in the current period.
216
▲ 10.8%was 195
Total Crash Events
1
Persons Killed
72
▲ 12.5%was 64
Persons Injured
27
▼ -20.6%was 34
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2024-04-01 to 2024-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash trends in Allen County show an increase year-over-year. Total crashes rose by 10.8% from 195 in April 2023 to 216 in April 2024. Similarly, the number of people injured increased by 12.5%, from 64 to 72, while fatalities held steady at one death in each period.
27
Hit-and-Run Crashes — April 2024
▼ -20.6% vs prior (34)
Hit-and-run incidents decreased in Allen County year-over-year. The total number of hit-and-run crashes fell from 34 in April 2023 to 27 in April 2024. This corresponds to a drop in the hit-and-run rate, which declined from 17.4% of all crashes in the prior period to 12.5% in the current period.
Vulnerable Road User Casualties
1
Motorists Killed
72
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between the two periods. The peak day for crashes moved from Friday (36 incidents) in April 2023 to Tuesday (42 incidents) in April 2024. While the peak hour remained 3 p.m. in both periods, the number of crashes during that hour increased significantly from 17 to 29. Crashes in April 2024 were more concentrated on weekdays, with Monday through Thursday accounting for 150 incidents compared to 110 during the same days in the prior year.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall crash severity profile showed some changes year-over-year, though the number of fatal crashes remained constant at one for both April 2023 and April 2024. In April 2024, 3 crashes (1.4% of total) were classified as resulting in serious injuries, a category not present in the April 2023 data. The proportion of crashes with no injuries increased slightly from 76.4% in the prior period to 78.7% in the current period.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Most severe injury per crash record
Road & Environmental Conditions
While clear weather and dry roads were the most common conditions in both periods, there was a notable increase in crashes during adverse weather in April 2024. The number of crashes occurring in rain doubled from 23 to 46 year-over-year, and crashes on wet roads increased from 37 to 64. Consequently, the share of total crashes on wet roads rose from 19.0% in April 2023 to 29.6% in April 2024.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Road surface condition field
Vehicles & Demographics
Passenger cars, sport utility vehicles, and pickups remained the three most common vehicle types involved in crashes in both April 2023 and April 2024. The top vehicle makes also held steady, with Chevrolet (72 vehicles), Ford (58), and Honda (25) leading in crash involvement in the current period, all showing an increase in counts from the prior year. An analysis of persons involved in crashes shows a stable age distribution, with the 16-20 age group accounting for approximately 14.5% of individuals in April 2024, similar to 14.3% in the previous year.
Top Vehicle Makes (376 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · Vehicle unit records
20 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (493 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-04-01 to 2024-04-30 · 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: 2024-04-01 through 2024-04-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2024-04-01 through 2024-04-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 216
- Total persons involved: 511
- Total vehicles involved: 376
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 2024." Published July 6, 2026. Reporting period: 2024-04-01 to 2024-04-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/april-2024-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: 2024-04-01 – 2024-04-30
Generated: July 6, 2026 · All rights reserved