ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · DECEMBER 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/december-2024-report
Monthly Traffic Safety Analysis
22,794 CRASHES IN
OHIO, OH
DECEMBER 2024
In December 2024, there were 22,794 total crashes, a 4.3% increase from the 21,864 crashes recorded in December 2023. Despite the rise in overall collisions, the number of fatalities saw a significant year-over-year decrease, falling from 94 to 69. This represents a 26.6% reduction in traffic-related deaths compared to the same period in the prior year.
22,794
▲ 4.3%was 21,864
Total Crash Events
69
▼ -26.6%was 94
Persons Killed
7,320
▼ -1.5%was 7,432
Persons Injured
3,633
▼ -5.2%was 3,831
Hit-and-Run Crashes
Note: "Persons Killed" (69) counts individual fatalities across all crash events. "Fatal" in the severity table below (65) 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 · 2024-12-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data shows an upward trend in the total number of crashes, which increased by 4.3% from 21,864 in December 2023 to 22,794 in December 2024. However, the outcomes of these crashes were less severe, with total injuries decreasing by 1.5% and total fatalities dropping by 26.6% over the same period.
3,633
Hit-and-Run Crashes — December 2024
▼ -5.2% vs prior (3,831)
The number of hit-and-run incidents decreased from 3,831 in December 2023 to 3,633 in December 2024, representing a 5.2% reduction. The hit-and-run rate, calculated as the percentage of all crashes that were hit-and-runs, also trended downward, falling from 17.5% in the prior year to 15.9% in the current period.
Vulnerable Road User Casualties
13
Pedestrians Killed
56
Motorists Killed
274
Pedestrians Injured
7,046
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-12-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed a notable shift between December 2023 and December 2024. The peak day for collisions moved from Friday (4,222 crashes) in the prior year to Tuesday (3,867 crashes) in the current period. The peak hour for crashes, however, remained consistent at 5 PM in both years, with 2,038 crashes in December 2024 compared to 2,062 in the previous year.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-12-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-12-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes decreased year-over-year. The proportion of fatal crashes fell from 0.4% of all incidents in December 2023 to 0.3% in December 2024. Similarly, the share of crashes resulting in serious injuries declined from 2.0% to 1.8%, while the proportion of crashes with no reported injuries increased from 75.9% to 76.9%.
Severity is per crash event (most severe injury). 65 fatal crash events resulted in 69 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-12-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-12-01 to 2024-12-31 · Most severe injury per crash record
Road & Environmental Conditions
Comparing crash conditions, there was a significant increase in crashes occurring in winter weather. Crashes in snowy conditions more than doubled, rising from 942 in December 2023 to 2,381 in December 2024. Correspondingly, crashes on snowy roads increased from 600 to 1,552, and crashes on icy roads increased from 206 to 892. The distribution of crashes by lighting conditions remained relatively stable, with most incidents in both periods occurring during daylight hours.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-12-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-12-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-12-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The composition of vehicles involved in crashes remained largely consistent year-over-year. Chevrolet, Ford, and Honda were the top three vehicle makes in both December 2023 and December 2024, with minimal changes in their rankings. An increase was noted in the number of Sport Utility Vehicles involved in crashes, which rose from 9,942 to 11,060. The age distribution of persons involved in crashes also showed stability, with the 26-34 age group representing the largest cohort in both periods.
Top Vehicle Makes (40,237 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-12-01 to 2024-12-31 · Vehicle unit records
3,262 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (47,840 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-12-01 to 2024-12-31 · 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: 2024-12-01 through 2024-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2024-12-01 through 2024-12-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 22,794
- Total persons involved: 50,483
- Total vehicles involved: 40,237
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: December 2024." Published July 5, 2026. Reporting period: 2024-12-01 to 2024-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/december-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: 2024-12-01 – 2024-12-31
Generated: July 5, 2026 · All rights reserved