Monthly Traffic Safety Analysis

229 CRASHES IN
OHIO, OH
JUNE 2022

All metrics benchmarked againstJune 2021

In Allen County, total crashes increased by 10.6% from 207 in June 2021 to 229 in June 2022. While total injuries decreased slightly, fatalities doubled from one to two. The most notable year-over-year shift was a 180% increase in motorcycle-involved crashes, which rose from 5 to 14.

229

10.6%was 207

Total Crash Events

2

100.0%was 1

Persons Killed

86

-7.5%was 93

Persons Injured

29

-31.0%was 42

Hit-and-Run Crashes

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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 · 2022-06-01 to 2022-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

In June 2022, Allen County experienced a 10.6% increase in total crashes compared to June 2021, rising from 207 to 229 incidents. While total injuries decreased by 7.5% from 93 to 86, the number of fatalities doubled from one to two over the same period.

29

Hit-and-Run Crashes — June 2022

-31.0% vs prior (42)

Hit-and-run incidents saw a notable decrease in June 2022 compared to the same month in 2021. The total number of hit-and-run crashes fell by 31%, from 42 to 29. This downward trend is also reflected in the hit-and-run rate, which dropped from 20.3% of all crashes in June 2021 to 12.7% in June 2022.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 0%

1

Motorists Killed

Prior: 10.0%

3

Pedestrians Injured

Prior: 0%

83

Motorists Injured

Prior: 93-10.8%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-06-01 to 2022-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal pattern of crashes shifted year-over-year, with the peak day for collisions moving from Monday (35 crashes) in June 2021 to Friday (47 crashes) in June 2022. The peak hour for crashes remained in the afternoon, shifting slightly earlier from 3 p.m. in the prior year (24 crashes) to 2 p.m. in the current period (25 crashes).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-06-01 to 2022-06-30 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-06-01 to 2022-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The number of fatal crashes doubled from one in June 2021 to two in June 2022, with the corresponding fatal crash rate rising from 0.48% to 0.87%. While the proportion of serious injury crashes decreased from 3.9% to 2.6%, minor injury crashes increased their share from 13.5% to 16.6% of all incidents. The percentage of crashes resulting in no injuries remained stable at 72.5% in both periods.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.9%
100.0%prior 1
Serious Injury6serious injury crashes2.6%
-25.0%prior 8
Minor Injury38minor injury crashes16.6%
35.7%prior 28
Possible Injury17possible injury crashes7.4%
-15.0%prior 20
No Injury166no injury crashes72.5%
10.7%prior 150

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-06-01 to 2022-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-06-01 to 2022-06-30 · Most severe injury per crash record

Road & Environmental Conditions

Crashes in June 2022 occurred under more favorable conditions compared to the prior year. The proportion of collisions in 'Clear' weather increased from 67.1% to 85.6%, while those in 'Rain' decreased from 8.2% to 3.1%. Correspondingly, crashes on 'Dry' road surfaces made up a larger share of the total, rising from 86.0% to 94.8%. The share of crashes occurring in daylight remained steady at approximately 75% for both periods.

Weather

Clear196 (85.6%)
41.0%prior 139
Cloudy24 (10.5%)
-52.0%prior 50
Rain7 (3.1%)
-58.8%prior 17
Other/Unknown2 (0.9%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-06-01 to 2022-06-30 · Weather condition at time of crash

Lighting

Daylight171 (74.7%)
9.6%prior 156
Dark - Roadway Not Lighted30 (13.1%)
57.9%prior 19
Dark - Lighted Roadway16 (7.0%)
-11.1%prior 18
Dawn/Dusk11 (4.8%)
0.0%prior 11
Other/Unknown1 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-06-01 to 2022-06-30 · Lighting condition field

Road Surface

Dry217 (94.8%)
21.9%prior 178
Wet10 (4.4%)
-61.5%prior 26
Other/Unknown1 (0.4%)
Sand; Mud; Dirt; Oil; Gravel1 (0.4%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-06-01 to 2022-06-30 · Road surface condition field

Vehicles & Demographics

The top vehicle makes involved in crashes remained consistent, with Chevrolet, Ford, and Honda leading in both periods. In June 2022, Chevrolet-involved vehicles increased to 70 from 61, surpassing Ford (64 vehicles) as the most common make. The 26-34 age group represented the largest number of persons involved in crashes in both years, increasing from 79 individuals in June 2021 to 82 in June 2022.

Top Vehicle Makes (396 vehicles)

1
CHEVROLET70 (17.7%)
14.8%prior 61
2
FORD64 (16.2%)
1.6%prior 63
3
HONDA37 (9.3%)
-7.5%prior 40
4
CHRYSLER18 (4.5%)
50.0%prior 12
5
DODGE18 (4.5%)
-10.0%prior 20
6
TOYOTA17 (4.3%)
21.4%prior 14
7
KIA16 (4%)
45.5%prior 11
8
GMC15 (3.8%)
-6.3%prior 16
9
NISSAN14 (3.5%)
40.0%prior 10
10
FREIGHTLINER12 (3%)
100.0%prior 6

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-06-01 to 2022-06-30 · Vehicle unit records

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

Sex Distribution (499 persons with recorded sex)

Male276 (55.3%)
19.0%prior 232
Female223 (44.7%)
14.9%prior 194

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-06-01 to 2022-06-30 · 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: 2022-06-01 through 2022-06-30
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2022-06-01 through 2022-06-30 (30 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 229
  • Total persons involved: 519
  • Total vehicles involved: 396

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: June 2022." Published July 6, 2026. Reporting period: 2022-06-01 to 2022-06-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/june-2022-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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Allen County, OH Crash Report — June 2022 | ThatCarHitMe.com