ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · JANUARY 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/january-2023-report
Monthly Traffic Safety Analysis
22,290 CRASHES IN
OHIO, OH
JANUARY 2023
In January 2023, Ohio recorded 22,290 traffic crashes, a 4.1% decrease from the 23,241 crashes reported in January 2022. Despite the overall reduction in collisions, the number of fatalities increased from 82 to 88 year-over-year. A notable shift occurred in crashes involving vulnerable road users, with motorcycle-involved incidents increasing from 13 to 34 and pedestrian-involved crashes rising from 156 to 212.
22,290
▼ -4.1%was 23,241
Total Crash Events
88
▲ 7.3%was 82
Persons Killed
7,030
▼ -1.5%was 7,139
Persons Injured
3,877
▼ -2.2%was 3,963
Hit-and-Run Crashes
Note: "Persons Killed" (88) counts individual fatalities across all crash events. "Fatal" in the severity table below (80) 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 · 2023-01-01 to 2023-01-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic safety trends showed a slight improvement in January 2023 compared to the previous year, with total crashes decreasing by 4.1% from 23,241 to 22,290. The number of injuries also saw a marginal decline of 1.5%, falling from 7,139 to 7,030. However, this positive trend did not extend to crash fatalities, which rose by 7.3% from 82 to 88.
3,877
Hit-and-Run Crashes — January 2023
▼ -2.2% vs prior (3,963)
The total number of hit-and-run crashes saw a slight decrease from 3,963 in January 2022 to 3,877 in January 2023. However, relative to the overall number of crashes, the hit-and-run rate trended slightly upward. Hit-and-run incidents accounted for 17.4% of all crashes in the current period, compared to 17.1% in the prior year.
Vulnerable Road User Casualties
14
Pedestrians Killed
74
Motorists Killed
198
Pedestrians Injured
6,832
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-01-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between January 2022 and January 2023. The day with the highest number of crashes changed from Monday (4,294 crashes) in the prior year to Tuesday (3,697 crashes) in the current period. Similarly, the peak hour for collisions moved from 3 p.m. (1,851 crashes) in 2022 to 6 p.m. (1,651 crashes) in 2023, indicating a shift in peak crash times to the later part of the evening commute.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-01-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-01-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes decreased, the severity of crashes slightly worsened in January 2023 compared to the prior year. The proportion of fatal crashes increased from 0.3% to 0.4% of all incidents, with the absolute count of fatal crashes rising from 78 to 80. Crashes involving serious injuries also saw a proportional increase, rising from 1.6% to 1.8% of the total. Consequently, the share of crashes with no reported injuries fell from 77.7% to 77.0%.
Severity is per crash event (most severe injury). 80 fatal crash events resulted in 88 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-01-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-01-31 · Most severe injury per crash record
Road & Environmental Conditions
A notable shift in environmental conditions occurred between the two periods. In January 2023, there was a significant increase in crashes happening in the rain (2,960, up from 959) and on wet roads (7,412, up from 3,699). Conversely, crashes attributed to snow (4,213, down from 5,033) and on dry roads (10,557, down from 12,574) both decreased. The distribution of crashes by lighting conditions remained relatively stable, with daylight crashes accounting for the majority in both years.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-01-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-01-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-01-31 · Road surface condition field
Vehicles & Demographics
The composition of vehicles and persons involved in crashes remained largely consistent year-over-year. The top three vehicle makes involved in collisions were Chevrolet, Ford, and Honda in both January 2023 and January 2022, with each seeing a decrease in total incidents. The 26-34 age group constituted the largest segment of individuals involved in crashes in both years, though their total number decreased from 8,250 to 7,464, mirroring the overall decline in crash participants.
Top Vehicle Makes (38,400 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-01-31 · Vehicle unit records
3,499 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (45,009 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-01-31 · 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: 2023-01-01 through 2023-01-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-01-31 (31 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 22,290
- Total persons involved: 47,804
- Total vehicles involved: 38,400
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: January 2023." Published July 5, 2026. Reporting period: 2023-01-01 to 2023-01-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/january-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: 2023-01-01 – 2023-01-31
Generated: July 5, 2026 · All rights reserved