Yearly Traffic Safety Analysis

430 CRASHES IN
BETHEL, OH
2022

All metrics benchmarked against2021

Total crashes in Bethel increased by 4.37%, from 412 in 2021 to 430 in 2022. A notable shift was the absence of fatalities in 2022, down from 7 fatalities reported in 2021. Concurrently, total injuries rose by 28.06%, from 139 in 2021 to 178 in 2022.

430

4.4%was 412

Total Crash Events

0

-100.0%was 7

Persons Killed

178

28.1%was 139

Persons Injured

48

-20.0%was 60

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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, crashes in Bethel increased by 4.37% year-over-year, with 430 crashes in 2022 compared to 412 in 2021. While total fatalities decreased by 100% from 7 in 2021 to 0 in 2022, total injuries rose by 28.06% during the same period, from 139 to 178.

48

Hit-and-Run Crashes — 2022

-20.0% vs prior (60)

Hit-and-run crashes decreased by 20% year-over-year, falling from 60 incidents in 2021 to 48 in 2022. This resulted in a reduction of the hit-and-run rate from 14.6% of total crashes in 2021 to 11.2% in 2022.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 7-100.0%

4

Pedestrians Injured

Prior: 40.0%

174

Motorists Injured

Prior: 13528.9%

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 peak day for crashes shifted from Monday in 2021 (70 crashes) to Wednesday in 2022 (70 crashes), maintaining the same peak count. The peak hour for crashes also shifted, moving from 5 PM with 38 crashes in 2021 to 3 PM with 41 crashes in 2022. Monthly patterns showed a higher number of crashes in October 2021 (53) compared to October 2022 (33), while December 2022 recorded 49 crashes, an increase from 42 in December 2021.

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

Fatal crashes saw a significant decrease, falling from 6 crashes (1.5% of total) in 2021 to 0 crashes in 2022. Conversely, serious injury crashes (Severity A) more than doubled, increasing from 9 (2.2%) in 2021 to 19 (4.4%) in 2022. Minor injury crashes (Severity B) also rose from 62 (15%) to 72 (16.7%), and possible injury crashes (Severity C) increased from 23 (5.6%) to 33 (7.7%).

Outcome by Severity (Crash Events)

Serious Injury19serious injury crashes4.4%
111.1%prior 9
Minor Injury72minor injury crashes16.7%
16.1%prior 62
Possible Injury33possible injury crashes7.7%
43.5%prior 23
No Injury306no injury crashes71.2%
-1.9%prior 312

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

Crashes occurring in clear weather conditions increased from 242 in 2021 to 292 in 2022, while rain-related crashes decreased from 56 to 37. Crashes during daylight hours increased from 220 to 262, with crashes in dark, unlighted roadway conditions decreasing from 132 to 115. Regarding road surface, crashes on dry roads increased from 302 to 335, crashes on wet roads decreased from 86 to 65, and crashes on icy roads increased from 4 to 10.

Weather

Clear292 (67.9%)
20.7%prior 242
Cloudy83 (19.3%)
-4.6%prior 87
Rain37 (8.6%)
-33.9%prior 56
Snow10 (2.3%)
-16.7%prior 12
Other/Unknown4 (0.9%)
-33.3%prior 6
Sleet; Hail3 (0.7%)
Freezing Rain or Freezing Drizzle1 (0.2%)

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

Lighting

Daylight262 (60.9%)
19.1%prior 220
Dark - Roadway Not Lighted115 (26.7%)
-12.9%prior 132
Dark - Lighted Roadway28 (6.5%)
12.0%prior 25
Dawn/Dusk19 (4.4%)
-38.7%prior 31
Other/Unknown4 (0.9%)
Dark - Unknown Roadway Lighting2 (0.5%)

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

Road Surface

Dry335 (77.9%)
10.9%prior 302
Wet65 (15.1%)
-24.4%prior 86
Snow17 (4.0%)
21.4%prior 14
Ice10 (2.3%)
Other/Unknown2 (0.5%)
Slush1 (0.2%)

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

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 662 in 2021 to 698 in 2022. Among vehicle types, Passenger Car involvement increased from 312 to 325, and Motorcycle 2 Wheeled involvement significantly rose from 5 to 22, while Pick up truck involvement decreased from 119 to 104. In terms of demographics, the 16-20 age group saw a decrease in persons involved from 127 to 107, whereas the 0-15 age group increased from 115 to 142, and the 26-34 age group rose from 130 to 155.

Top Vehicle Makes (698 vehicles)

1
CHEVROLET142 (20.3%)
25.7%prior 113
2
FORD92 (13.2%)
-14.8%prior 108
3
HONDA66 (9.5%)
43.5%prior 46
4
TOYOTA43 (6.2%)
0.0%prior 43
5
DODGE42 (6%)
-8.7%prior 46
6
HYUNDAI31 (4.4%)
29.2%prior 24
7
KIA31 (4.4%)
63.2%prior 19
8
GMC26 (3.7%)
85.7%prior 14
9
NISSAN24 (3.4%)
-22.6%prior 31
10
JEEP19 (2.7%)
-24.0%prior 25

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

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

Sex Distribution (914 persons with recorded sex)

Male510 (55.8%)
8.3%prior 471
Female404 (44.2%)
13.2%prior 357

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: Bethel, OH
  • Total crash records analyzed: 430
  • Total persons involved: 945
  • Total vehicles involved: 698

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). "Bethel, 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/bethel/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

Bethel, OH Crash Report — 2022 | ThatCarHitMe.com