ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · 2022
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/2022-annual-report
Yearly Traffic Safety Analysis
1,050 CRASHES IN
OHIO, OH
2022
In 2022, Darke County recorded 1,050 total crashes, a slight decrease of 0.6% from the 1,056 crashes reported in 2021. Despite the marginal drop in total collisions, the number of fatalities increased significantly. There were 14 fatalities in 2022, a 55.6% rise from the 9 fatalities recorded in the prior year.
1,050
▼ -0.6%was 1,056
Total Crash Events
14
▲ 55.6%was 9
Persons Killed
340
▲ 5.3%was 323
Persons Injured
122
▲ 7.0%was 114
Hit-and-Run Crashes
Note: "Persons Killed" (14) counts individual fatalities across all crash events. "Fatal" in the severity table below (11) 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 · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash volume in Darke County remained relatively stable, with a minor 0.6% decrease from 1,056 crashes in 2021 to 1,050 in 2022. However, the severity of these crashes worsened year-over-year. Total injuries rose by 5.3% from 323 to 340, and total fatalities saw a substantial increase of 55.6%, climbing from 9 to 14.
122
Hit-and-Run Crashes — 2022
▲ 7.0% vs prior (114)
Hit-and-run incidents trended upward in 2022 compared to the prior year. The total number of hit-and-run crashes increased from 114 in 2021 to 122 in 2022. As a proportion of all crashes, the hit-and-run rate also rose, from 10.8% in 2021 to 11.6% in 2022.
Vulnerable Road User Casualties
1
Pedestrians Killed
13
Motorists Killed
8
Pedestrians Injured
332
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between 2021 and 2022. The peak day for collisions moved from Friday (182 crashes) in 2021 to Tuesday (163 crashes) in 2022. Similarly, the peak hour for crashes shifted an hour earlier, from 7 p.m. in the prior year to 6 p.m. in the current year. Overall, the daily crash distribution in 2022 was more evenly spread across weekdays compared to 2021, which had a distinct Friday peak.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity increased in 2022 compared to the previous year. The number of fatal crashes rose from 8 to 11, and the fatal crash rate increased from 0.76 to 1.05 per 100 crashes. The proportion of serious injury crashes also grew, from 2.6% of all crashes in 2021 to 3.5% in 2022. Crashes resulting in no injury decreased as a share of the total, from 77.5% in 2021 to 75.9% in 2022.
Severity is per crash event (most severe injury). 11 fatal crash events resulted in 14 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Road & Environmental Conditions
Environmental conditions at the time of crashes remained broadly consistent between 2021 and 2022. In both periods, the majority of incidents occurred in daylight (54.1% in 2022 vs. 54.4% in 2021) and on dry roads (77.2% in 2022 vs. 76.6% in 2021). The proportion of crashes happening in clear weather increased slightly from 66.2% to 69.0%, while the share of crashes in cloudy conditions decreased. There were no major shifts in the distribution of crashes across different lighting, road surface, or weather conditions.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The types of vehicles and persons involved in crashes showed some year-over-year shifts. Chevrolet (331 vehicles) and Ford (237 vehicles) remained the top two most-involved vehicle makes in 2022, though their counts decreased from 345 and 281, respectively. Honda replaced Dodge as the third most common make. Regarding persons involved, there was a notable decrease in the 16-20 age group, which fell from 254 individuals in 2021 to 203 in 2022.
Top Vehicle Makes (1,563 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
107 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,723 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 1,050
- Total persons involved: 1,810
- Total vehicles involved: 1,563
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: 2022." Published July 6, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2022-annual-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: 2022-01-01 – 2022-12-31
Generated: July 6, 2026 · All rights reserved