Monthly Traffic Safety Analysis

209 CRASHES IN
OHIO, OH
JUNE 2023

All metrics benchmarked againstJune 2022

In June 2023, Allen County recorded 209 total crashes, an 8.7% decrease from the 229 crashes reported in June 2022. The total number of injuries remained stable with 89 in the current period compared to 86 in the prior year. The most significant change was the reduction in fatalities, which dropped from two in June 2022 to zero in June 2023.

209

-8.7%was 229

Total Crash Events

0

-100.0%was 2

Persons Killed

89

3.5%was 86

Persons Injured

30

3.4%was 29

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 · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Traffic safety in Allen County showed a positive trend in June 2023 compared to the same month a year prior, with total crashes declining by 8.7% from 229 to 209. While total injuries saw a marginal increase from 86 to 89, there was a significant improvement as traffic fatalities were eliminated, dropping from two to zero year-over-year.

30

Hit-and-Run Crashes — June 2023

3.4% vs prior (29)

The number of hit-and-run incidents remained nearly constant, with 30 crashes in June 2023 compared to 29 in June 2022. However, because the total number of crashes decreased year-over-year, the hit-and-run rate increased. Hit-and-runs accounted for 14.4% of all crashes in the current period, up from 12.7% in the prior year, indicating an upward trend in the proportion of these incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 1-100.0%

0

Motorists Killed

Prior: 1-100.0%

2

Pedestrians Injured

Prior: 3-33.3%

87

Motorists Injured

Prior: 834.8%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · 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 shifts between June 2022 and June 2023. While Friday remained the peak day for crashes in both periods (47 and 39 crashes, respectively), the peak hour for collisions moved from the 2 p.m. hour in 2022 (25 crashes) to the 4 p.m. hour in 2023 (27 crashes). Notably, Wednesday crashes decreased significantly from 46 in the prior year to 20 in the current year.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity improved in June 2023, with zero fatal crashes recorded, down from two fatal crashes in June 2022. The proportion of crashes resulting in any injury remained relatively stable, accounting for 25.8% of all crashes in the current period compared to 26.6% in the prior period. The data shows a decrease in crashes classified as 'Minor Injury' (from 38 to 22) and an increase in 'Possible Injury' crashes (from 17 to 25).

Outcome by Severity (Crash Events)

Serious Injury7serious injury crashes3.3%
16.7%prior 6
Minor Injury22minor injury crashes10.5%
-42.1%prior 38
Possible Injury25possible injury crashes12%
47.1%prior 17
No Injury155no injury crashes74.2%
-6.6%prior 166

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Most severe injury per crash record

Road & Environmental Conditions

The majority of crashes in both periods occurred in clear weather and on dry roads. However, June 2023 saw a higher proportion of crashes in adverse conditions compared to June 2022. Crashes in the rain increased from 7 to 15, and collisions on wet roads doubled from 10 to 20. Consequently, the share of crashes on dry roads decreased from 94.8% in the prior period to 89.9% in the current period.

Weather

Clear152 (72.7%)
-22.4%prior 196
Cloudy36 (17.2%)
50.0%prior 24
Rain15 (7.2%)
114.3%prior 7
Fog; Smog; Smoke5 (2.4%)
Other/Unknown1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Weather condition at time of crash

Lighting

Daylight147 (70.3%)
-14.0%prior 171
Dark - Roadway Not Lighted34 (16.3%)
13.3%prior 30
Dark - Lighted Roadway14 (6.7%)
-12.5%prior 16
Dawn/Dusk11 (5.3%)
0.0%prior 11
Dark - Unknown Roadway Lighting2 (1.0%)
Other/Unknown1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Lighting condition field

Road Surface

Dry188 (90.0%)
-13.4%prior 217
Wet20 (9.6%)
100.0%prior 10
Other/Unknown1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Road surface condition field

Vehicles & Demographics

Passenger Cars (184) and Sport Utility Vehicles (80) were the most common vehicles in crashes in June 2023, consistent with the prior year. Motorcycle-involved crashes saw a significant decrease, with only 3 incidents compared to 14 in June 2022. In terms of vehicle makes, Ford (68 vehicles) surpassed Chevrolet (46 vehicles) as the most frequently involved make, reversing the ranking from the previous year when Chevrolet had 70 and Ford had 64.

Top Vehicle Makes (349 vehicles)

1
FORD68 (19.5%)
6.3%prior 64
2
CHEVROLET46 (13.2%)
-34.3%prior 70
3
HONDA29 (8.3%)
-21.6%prior 37
4
TOYOTA21 (6%)
23.5%prior 17
5
DODGE19 (5.4%)
5.6%prior 18
6
JEEP13 (3.7%)
18.2%prior 11
7
HYUNDAI10 (2.9%)
0.0%prior 10
8
KIA10 (2.9%)
-37.5%prior 16
9
BUICK9 (2.6%)
28.6%prior 7
10
NISSAN9 (2.6%)
-35.7%prior 14

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · Vehicle unit records

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

Sex Distribution (453 persons with recorded sex)

Male228 (50.3%)
-17.4%prior 276
Female225 (49.7%)
0.9%prior 223

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-06-01 to 2023-06-30 · 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: 2023-06-01 through 2023-06-30
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2023-06-01 through 2023-06-30 (30 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 209
  • Total persons involved: 471
  • Total vehicles involved: 349

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 2023." Published July 6, 2026. Reporting period: 2023-06-01 to 2023-06-30. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/june-2023-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 2023 | ThatCarHitMe.com