Monthly Traffic Safety Analysis

21,134 CRASHES IN
OHIO, OH
JUNE 2022

All metrics benchmarked againstJune 2021

In June 2022, Ohio recorded 21,134 total vehicle crashes, an 8.8% decrease from the 23,180 crashes documented in June 2021. This downward trend was accompanied by a notable 11.4% reduction in total injuries, which fell from 9,393 to 8,324 year-over-year. Meanwhile, total fatalities remained nearly unchanged, with 108 deaths in the current period compared to 111 in the prior period.

21,134

-8.8%was 23,180

Total Crash Events

108

-2.7%was 111

Persons Killed

8,324

-11.4%was 9,393

Persons Injured

3,746

-15.7%was 4,446

Hit-and-Run Crashes

Note: "Persons Killed" (108) counts individual fatalities across all crash events. "Fatal" in the severity table below (102) 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

Crash data for June indicates a general downward trend compared to the same month last year. Total crashes fell by 8.8%, from 23,180 to 21,134. Similarly, the number of people injured in these incidents decreased by 11.4% from 9,393 to 8,324, while fatalities saw a marginal decline from 111 to 108.

3,746

Hit-and-Run Crashes — June 2022

-15.7% vs prior (4,446)

Hit-and-run incidents decreased both in absolute numbers and as a percentage of total crashes. The number of hit-and-run crashes fell by 15.7%, from 4,446 in June 2021 to 3,746 in June 2022. This decline is also reflected in the hit-and-run rate, which dropped from 19.2% of all crashes in the prior period to 17.7% in the current period.

Vulnerable Road User Casualties

11

Pedestrians Killed

Prior: 17-35.3%

97

Motorists Killed

Prior: 943.2%

176

Pedestrians Injured

Prior: 1675.4%

8,148

Motorists Injured

Prior: 9,226-11.7%

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 patterns of crashes showed some consistency and some shifts year-over-year. Wednesday remained the peak day for crashes in both June 2022 (3,657 crashes) and June 2021 (4,093 crashes), though the volume decreased. However, the peak hour for collisions shifted slightly later in the day, from 4 PM in the prior period (2,074 crashes) to 5 PM in the current period (1,840 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

While the total number of fatal crashes was nearly identical year-over-year (102 vs. 101), the fatal crash rate per 100 crashes increased from 0.44 to 0.48. The proportion of crashes resulting in any level of injury (Serious, Minor, or Possible) decreased slightly, accounting for 27.1% of crashes in June 2022 compared to 27.9% in June 2021. Correspondingly, no-injury crashes constituted a larger share of the total, rising from 71.7% to 72.5%.

Severity is per crash event (most severe injury). 102 fatal crash events resulted in 108 persons killed.

Outcome by Severity (Crash Events)

Fatal102fatal crashes0.5%
1.0%prior 101
Serious Injury608serious injury crashes2.9%
-4.3%prior 635
Minor Injury2,970minor injury crashes14.1%
-10.9%prior 3,332
Possible Injury2,127possible injury crashes10.1%
-15.0%prior 2,501
No Injury15,327no injury crashes72.5%
-7.7%prior 16,611

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

Driving conditions were markedly different between the two periods, with a significant shift toward more favorable weather. In June 2022, 79.0% of crashes occurred in clear weather, a substantial increase from 65.4% in June 2021. Consequently, the proportion of crashes on wet roads was more than halved, dropping from 17.0% of the total in the prior year to 8.2% in the current period. The distribution of crashes by lighting conditions remained stable, with daylight crashes accounting for approximately 77% in both years.

Weather

Clear16,695 (79.0%)
10.2%prior 15,156
Cloudy3,038 (14.4%)
-38.8%prior 4,966
Rain1,144 (5.4%)
-58.3%prior 2,741
Other/Unknown188 (0.9%)
-14.9%prior 221
Fog; Smog; Smoke51 (0.2%)
-34.6%prior 78
Severe Crosswinds13 (0.1%)
85.7%prior 7
Freezing Rain or Freezing Drizzle4 (0.0%)
-33.3%prior 6
Sleet; Hail1 (0.0%)

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

Lighting

Daylight16,280 (77.0%)
-7.9%prior 17,674
Dark - Lighted Roadway2,083 (9.9%)
-18.2%prior 2,545
Dark - Roadway Not Lighted1,702 (8.1%)
1.1%prior 1,684
Dawn/Dusk865 (4.1%)
-13.4%prior 999
Other/Unknown157 (0.7%)
-6.5%prior 168
Dark - Unknown Roadway Lighting47 (0.2%)
-57.3%prior 110

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

Road Surface

Dry19,229 (91.0%)
1.0%prior 19,034
Wet1,727 (8.2%)
-56.2%prior 3,947
Other/Unknown143 (0.7%)
-6.5%prior 153
Sand; Mud; Dirt; Oil; Gravel20 (0.1%)
11.1%prior 18
Water (Standing; Moving)12 (0.1%)
-53.8%prior 26
Snow3 (0.0%)

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

Vehicles & Demographics

The composition of vehicles involved in crashes remained consistent year-over-year, with Passenger Cars, Sport Utility Vehicles, and Pick-ups being the most common types in both periods. The top vehicle makes also held their rankings, led by Chevrolet, Ford, and Honda. Analysis of persons involved shows a minor demographic shift; the proportion of individuals in the 16-20 age group decreased from 12.2% to 11.3% of the total, while the 65+ age group's share increased from 9.8% to 10.8%.

Top Vehicle Makes (38,339 vehicles)

1
CHEVROLET5,510 (14.4%)
-12.5%prior 6,299
2
FORD5,203 (13.6%)
-12.5%prior 5,947
3
HONDA3,416 (8.9%)
-6.1%prior 3,639
4
TOYOTA2,925 (7.6%)
-7.0%prior 3,146
5
DODGE1,972 (5.1%)
-12.3%prior 2,248
6
NISSAN1,766 (4.6%)
-7.9%prior 1,917
7
KIA1,487 (3.9%)
1.6%prior 1,463
8
JEEP1,466 (3.8%)
-9.7%prior 1,623
9
HYUNDAI1,445 (3.8%)
-5.5%prior 1,529
10
OTHER/UNKNOWN1,018 (2.7%)
1.2%prior 1,006

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

3,462 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (45,823 persons with recorded sex)

Male25,085 (54.7%)
-8.2%prior 27,328
Female20,738 (45.3%)
-8.0%prior 22,547

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 5, 2026

Data Coverage

  • Reporting period: 2022-06-01 through 2022-06-30 (30 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 21,134
  • Total persons involved: 48,373
  • Total vehicles involved: 38,339

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 5, 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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Ohio (Statewide) Crash Report — June 2022 | ThatCarHitMe.com