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
12,029 CRASHES IN
OHIO, OH
2022
In 2022, Montgomery County recorded 12,029 total vehicle crashes, a 6.6% decrease from the 12,883 crashes documented in 2021. This downward trend was also reflected in total injuries, which fell by 5.1% from 5,275 to 5,004. While most key metrics declined, the number of fatal crashes increased slightly from 61 to 64.
12,029
▼ -6.6%was 12,883
Total Crash Events
71
▼ -4.1%was 74
Persons Killed
5,004
▼ -5.1%was 5,275
Persons Injured
2,776
▼ -8.7%was 3,040
Hit-and-Run Crashes
Note: "Persons Killed" (71) counts individual fatalities across all crash events. "Fatal" in the severity table below (64) 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
Traffic crashes in Montgomery County showed a downward trend from 2021 to 2022. The total number of crashes decreased by 6.6%, from 12,883 to 12,029. This decline was accompanied by a 5.1% reduction in total injuries (from 5,275 to 5,004) and a 4.1% drop in fatalities (from 74 to 71).
2,776
Hit-and-Run Crashes — 2022
▼ -8.7% vs prior (3,040)
The volume of hit-and-run incidents decreased from 3,040 in 2021 to 2,776 in 2022, marking an 8.7% reduction. The hit-and-run rate, which measures the proportion of all crashes that are hit-and-runs, also trended down slightly. It fell from 23.6% in the prior year to 23.1% in the current year.
Vulnerable Road User Casualties
14
Pedestrians Killed
57
Motorists Killed
123
Pedestrians Injured
4,881
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 remained consistent year-over-year. Friday was the peak day for crashes in both 2022 (2,034 incidents) and 2021 (2,104 incidents). Similarly, the 5 p.m. hour was the most frequent time for collisions in both periods, with 1,069 crashes in 2022 compared to 1,110 in the prior year, highlighting the persistent risk during the evening commute.
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
While total crashes declined, the fatal crash rate saw a slight increase from 0.47% in 2021 to 0.53% in 2022, with the count of fatal crashes rising from 61 to 64. The overall distribution of injury severity remained largely stable between the two years. Crashes resulting in serious injuries constituted 2.4% of the total in 2022, a marginal increase from 2.3% in 2021, while no-injury crashes accounted for 71.3% of incidents, up from 71.0%.
Severity is per crash event (most severe injury). 64 fatal crash events resulted in 71 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
Crash conditions remained broadly similar between the two periods, with the majority of incidents occurring in daylight (64.7% in 2022 vs. 65.3% in 2021) and on dry roads (77.4% vs. 76.5%). There was a notable decrease in the number of crashes occurring in the rain, which fell from 1,627 incidents in 2021 to 1,215 in 2022. Crashes on wet road surfaces correspondingly declined from 2,554 to 2,082.
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 most common vehicle makes involved in crashes were consistent year-over-year, with Chevrolet, Ford, and Honda leading in both 2022 and 2021, though the absolute counts for each decreased. The age distribution of persons involved in crashes also showed little change; the 26-34 age group remained the most represented demographic in both periods, accounting for 4,796 individuals in 2022 compared to 5,074 in 2021. Passenger cars and Sport Utility Vehicles were the top two vehicle types in both years.
Top Vehicle Makes (22,981 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
2,615 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (27,127 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 5, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 12,029
- Total persons involved: 29,065
- Total vehicles involved: 22,981
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 5, 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 5, 2026 · All rights reserved