Yearly Traffic Safety Analysis

334 CRASHES IN
OHIO, OH
2022

All metrics benchmarked against2021

In Meigs County, total vehicle crashes decreased from 385 in 2021 to 334 in 2022, a 13.2% reduction. This overall decline was accompanied by fewer injuries and fatalities. The most notable year-over-year shift was a change in the peak day for crashes, moving from Saturday in the prior period to Tuesday in the current period.

334

-13.2%was 385

Total Crash Events

4

-20.0%was 5

Persons Killed

136

-14.5%was 159

Persons Injured

37

Hit-and-Run Crashes

Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) 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 safety trends in Meigs County showed improvement year-over-year. Total crashes fell by 13.2%, from 385 to 334. Correspondingly, the number of people injured decreased from 159 to 136, and total fatalities declined from 5 to 4.

37

Hit-and-Run Crashes — 2022

0.0% vs prior (37)

The absolute number of hit-and-run crashes in Meigs County remained constant at 37 incidents in both 2021 and 2022. However, due to the overall decrease in total crashes in 2022, the hit-and-run rate increased. This type of incident accounted for 11.1% of all crashes in 2022, up from 9.6% in the prior year.

Vulnerable Road User Casualties

4

Motorists Killed

Prior: 5-20.0%

136

Motorists Injured

Prior: 159-14.5%

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 timing of crashes shifted between the two periods. While the peak hour for collisions remained 3 p.m. in both 2022 (26 crashes) and 2021 (29 crashes), the peak day changed significantly. In 2022, Tuesday was the most frequent day for crashes with 54 incidents, whereas in 2021, Saturday saw the highest volume with 67 crashes.

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

The severity of crashes saw a mixed but generally stable profile year-over-year. The fatal crash rate decreased slightly from 1.3% in 2021 to 1.2% in 2022. The proportion of serious injury crashes increased from 5.2% to 6.3% of all incidents, while the share of minor injury crashes fell from 19.0% to 14.1%.

Outcome by Severity (Crash Events)

Fatal4fatal crashes1.2%
-20.0%prior 5
Serious Injury21serious injury crashes6.3%
5.0%prior 20
Minor Injury47minor injury crashes14.1%
-35.6%prior 73
Possible Injury22possible injury crashes6.6%
-8.3%prior 24
No Injury240no injury crashes71.9%
-8.7%prior 263

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

The environmental conditions under which crashes occurred remained broadly consistent year-over-year. In both 2022 and 2021, the majority of crashes happened in clear weather (62.6% and 62.1%, respectively) and on dry roads (77.8% and 77.4%, respectively). There was a minor shift in lighting conditions, with the proportion of crashes in daylight decreasing from 59.0% in 2021 to 55.4% in 2022, and crashes on dark, unlighted roadways increasing from 31.9% to 34.1%.

Weather

Clear209 (62.6%)
-12.6%prior 239
Cloudy76 (22.8%)
-16.5%prior 91
Rain35 (10.5%)
-5.4%prior 37
Snow9 (2.7%)
Fog; Smog; Smoke5 (1.5%)
-37.5%prior 8

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight185 (55.4%)
-18.5%prior 227
Dark - Roadway Not Lighted114 (34.1%)
-7.3%prior 123
Dawn/Dusk20 (6.0%)
-4.8%prior 21
Dark - Lighted Roadway14 (4.2%)
16.7%prior 12
Dark - Unknown Roadway Lighting1 (0.3%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry260 (77.8%)
-12.8%prior 298
Wet61 (18.3%)
-6.2%prior 65
Snow8 (2.4%)
60.0%prior 5
Sand; Mud; Dirt; Oil; Gravel3 (0.9%)
Ice2 (0.6%)
-77.8%prior 9

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

The distribution of vehicle types and makes involved in crashes showed little change between 2021 and 2022, with Passenger Cars, Sport Utility Vehicles, and Pick-ups being the most common. The top vehicle makes also remained consistent, led by Ford and Chevrolet in both years. However, the age distribution of persons involved in crashes shifted, with a notable decrease in the 16-20 age group (from 96 to 67 individuals) and an increase in the 0-15 age group (from 62 to 85 individuals).

Top Vehicle Makes (451 vehicles)

1
FORD76 (16.9%)
-19.1%prior 94
2
CHEVROLET72 (16%)
-22.6%prior 93
3
DODGE28 (6.2%)
-37.8%prior 45
4
HONDA27 (6%)
-22.9%prior 35
5
NISSAN25 (5.5%)
66.7%prior 15
6
TOYOTA24 (5.3%)
-27.3%prior 33
7
HYUNDAI22 (4.9%)
-4.3%prior 23
8
GMC21 (4.7%)
-27.6%prior 29
9
JEEP18 (4%)
5.9%prior 17
10
KIA15 (3.3%)
-42.3%prior 26

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records

32 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (604 persons with recorded sex)

Male335 (55.5%)
-9.7%prior 371
Female269 (44.5%)
-5.6%prior 285

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: 334
  • Total persons involved: 627
  • Total vehicles involved: 451

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

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Meigs County, OH Crash Report — 2022 | ThatCarHitMe.com