ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · APRIL 2023
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-2023-report
Monthly Traffic Safety Analysis
19,512 CRASHES IN
OHIO, OH
APRIL 2023
In April 2023, there were 19,512 total crashes statewide, representing a 3.3% decrease from the 20,169 crashes recorded in April 2022. This downward trend was also reflected in crash outcomes, with total fatalities decreasing by 11.2% from 116 to 103 and total injuries falling by 3.6% from 7,497 to 7,227 over the same period.
19,512
▼ -3.3%was 20,169
Total Crash Events
103
▼ -11.2%was 116
Persons Killed
7,227
▼ -3.6%was 7,497
Persons Injured
3,653
▼ -0.9%was 3,688
Hit-and-Run Crashes
Note: "Persons Killed" (103) counts individual fatalities across all crash events. "Fatal" in the severity table below (89) 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 · 2023-04-01 to 2023-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic safety metrics improved in April 2023 compared to the same month in the prior year. Total crashes decreased by 3.3%, from 20,169 to 19,512. Similarly, the number of people killed in crashes fell by 11.2% (from 116 to 103), and the number of people injured decreased by 3.6% (from 7,497 to 7,227).
3,653
Hit-and-Run Crashes — April 2023
▼ -0.9% vs prior (3,688)
While the total number of hit-and-run crashes remained nearly constant, decreasing slightly from 3,688 in April 2022 to 3,653 in April 2023, the rate of these incidents showed a small increase. Because overall crashes declined, hit-and-runs constituted a larger proportion of incidents in the current period. The hit-and-run rate rose from 18.3% to 18.7% of all crashes year-over-year.
Vulnerable Road User Casualties
9
Pedestrians Killed
94
Motorists Killed
158
Pedestrians Injured
7,069
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-04-01 to 2023-04-30 · 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 largely consistent between April 2022 and April 2023. Friday was the peak day for crashes in both periods, although the number of Friday crashes decreased from 3,923 to 3,103. The afternoon commute hour of 4 p.m. was also the peak hour in both years, with 1,674 crashes in April 2023 compared to 1,752 in the prior year.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-04-01 to 2023-04-30 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-04-01 to 2023-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity distribution of crashes was nearly identical year-over-year. In both April 2023 and April 2022, fatal crashes accounted for 0.5% of all incidents, and serious injury crashes made up 2.5%. While the total number of fatal crashes decreased from 106 to 89, their proportion relative to all crashes did not change. The percentage of crashes resulting in any injury (serious, minor, or possible) was 25.7% in April 2023, a negligible change from 25.6% in the prior year.
Severity is per crash event (most severe injury). 89 fatal crash events resulted in 103 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-04-01 to 2023-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-04-01 to 2023-04-30 · Most severe injury per crash record
Road & Environmental Conditions
Crash conditions in April 2023 were generally clearer compared to the same month in 2022. Crashes occurring in clear weather made up a larger share of the total, increasing from 55.6% (11,219 crashes) to 64.3% (12,549 crashes). Correspondingly, the proportion of crashes on wet road surfaces decreased from 22.0% to 17.2%. The distribution of crashes by lighting conditions remained stable, with daylight crashes accounting for approximately 72% of all incidents in both periods.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-04-01 to 2023-04-30 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-04-01 to 2023-04-30 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-04-01 to 2023-04-30 · Road surface condition field
Vehicles & Demographics
The composition of vehicles and persons involved in crashes showed little change year-over-year. The top three vehicle types remained Passenger Cars, Sport Utility Vehicles, and Pick-ups, with their involvement counts decreasing slightly in line with the overall reduction in crashes. Similarly, the ranking of the most frequently involved vehicle makes was stable, with Chevrolet, Ford, and Honda leading in both April 2023 and April 2022. The age distribution of all persons involved in crashes also saw no significant shifts between the two periods.
Top Vehicle Makes (35,511 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-04-01 to 2023-04-30 · Vehicle unit records
3,395 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (42,467 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-04-01 to 2023-04-30 · 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: 2023-04-01 through 2023-04-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2023-04-01 through 2023-04-30 (30 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 19,512
- Total persons involved: 45,080
- Total vehicles involved: 35,511
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 2023." Published July 5, 2026. Reporting period: 2023-04-01 to 2023-04-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/april-2023-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: 2023-04-01 – 2023-04-30
Generated: July 5, 2026 · All rights reserved