ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · DECEMBER 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/december-2023-report
Monthly Traffic Safety Analysis
21,864 CRASHES IN
OHIO, OH
DECEMBER 2023
In December 2023, Ohio recorded 21,864 traffic crashes, a 10.3% decrease from the 24,364 crashes reported in December 2022. While total crashes, injuries, and fatalities all declined, the proportion of crashes resulting in severe or fatal outcomes increased. The most notable shift was a substantial decrease in crashes related to snow and ice, which fell from 4,360 in the prior period to 806 in the current period.
21,864
▼ -10.3%was 24,364
Total Crash Events
94
▼ -2.1%was 96
Persons Killed
7,432
▼ -3.0%was 7,661
Persons Injured
3,831
▼ -7.5%was 4,142
Hit-and-Run Crashes
Note: "Persons Killed" (94) counts individual fatalities across all crash events. "Fatal" in the severity table below (87) 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 · 2023-12-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic safety trends showed a positive direction in December 2023 compared to the same month in 2022. Total crashes fell by 10.3%, from 24,364 to 21,864. This downward trend was also reflected in total injuries, which decreased by 3.0% from 7,661 to 7,432, and total fatalities, which saw a slight reduction from 96 to 94.
3,831
Hit-and-Run Crashes — December 2023
▼ -7.5% vs prior (4,142)
While the absolute number of hit-and-run incidents decreased from 4,142 in December 2022 to 3,831 in December 2023, the hit-and-run rate trended upward. Hit-and-runs accounted for 17.5% of all crashes in the current period, an increase from the 17.0% rate recorded in the prior year. This indicates that despite a drop in overall collisions, hit-and-runs represented a larger portion of the total.
Vulnerable Road User Casualties
21
Pedestrians Killed
73
Motorists Killed
219
Pedestrians Injured
7,213
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained consistent year-over-year, with no change in the peak day or hour. Friday was the busiest day for traffic collisions in both December 2023 (4,222 crashes) and December 2022 (4,815 crashes). Similarly, the 5 PM hour was the peak time for crashes in both periods, though the count dropped from 2,236 to 2,062. No significant shifts in the daily or hourly distribution of crashes were observed.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Although total crashes decreased, the severity of crashes trended upwards year-over-year. The fatal crash rate increased from 0.36% to 0.40% of all incidents. The proportion of crashes resulting in a serious injury also grew, rising from 1.6% (383 crashes) in December 2022 to 2.0% (439 crashes) in December 2023. Consequently, the share of non-injury crashes declined from 77.6% to 75.9% of the total.
Severity is per crash event (most severe injury). 87 fatal crash events resulted in 94 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Most severe injury per crash record
Road & Environmental Conditions
A significant year-over-year shift occurred in crashes related to winter conditions, likely reflecting milder weather. Crashes on snowy roads dropped from 2,986 in December 2022 to 600 in December 2023, and collisions on icy surfaces fell from 1,374 to 206. Correspondingly, the proportion of crashes occurring on dry roads increased from 54.7% to 61.7%. Crash distributions across different lighting conditions remained relatively stable.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes were consistent year-over-year, with Chevrolet, Ford, Honda, and Toyota remaining the most common in both periods. The demographic distribution of persons involved in collisions also showed little change, with the proportions for age groups like 16-20 and 65+ remaining stable. The data indicates no significant shifts in vehicle types or the ages of people involved in crashes between December 2022 and December 2023.
Top Vehicle Makes (38,869 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · Vehicle unit records
3,483 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (46,380 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-12-01 to 2023-12-31 · 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: 2023-12-01 through 2023-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2023-12-01 through 2023-12-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 21,864
- Total persons involved: 49,200
- Total vehicles involved: 38,869
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 2023." Published July 5, 2026. Reporting period: 2023-12-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/december-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: 2023-12-01 – 2023-12-31
Generated: July 5, 2026 · All rights reserved