Monthly Traffic Safety Analysis

214 CRASHES IN
OHIO, OH
AUGUST 2024

All metrics benchmarked againstAugust 2023

In August 2024, Allen County recorded 214 total vehicle crashes, a 3.4% increase from the 207 crashes documented in August 2023. While total crashes saw a slight rise, reported injuries decreased from 95 to 84. The most significant year-over-year change was the occurrence of one fatal crash in the current period, compared to zero in the prior year's same month.

214

3.4%was 207

Total Crash Events

1

Persons Killed

84

-11.6%was 95

Persons Injured

28

-24.3%was 37

Hit-and-Run Crashes

Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2024-08-01 to 2024-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash trends in Allen County showed a slight increase year-over-year, with total collisions rising from 207 in August 2023 to 214 in August 2024. Despite this increase in crash volume, the number of individuals injured in these incidents decreased by 11.6%, from 95 to 84. The data for August 2024 includes one fatality, whereas none were recorded in the same month of the previous year.

28

Hit-and-Run Crashes — August 2024

-24.3% vs prior (37)

Hit-and-run incidents trended downward in August 2024 compared to the same month in the prior year. The total number of hit-and-run crashes fell from 37 to 28. This decline is also reflected in the hit-and-run rate, which dropped from 17.9% of all crashes in August 2023 to 13.1% in August 2024.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0%

84

Motorists Injured

Prior: 93-9.7%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The timing of crashes shifted slightly between the two periods. In August 2024, the peak day for crashes was Friday, with 43 incidents, a change from August 2023 when Wednesday was the peak day with an identical 43 crashes. The busiest time of day also changed, with the peak moving from 12 p.m. (23 crashes) in the prior year to a three-way tie at 12 p.m., 2 p.m., and 4 p.m. in the current year, each with 19 crashes.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes shifted in August 2024, marked by the recording of one fatal crash, which accounted for 0.5% of all incidents, compared to zero fatal crashes in August 2023. The proportion of crashes resulting in serious injuries decreased, falling from 2.9% (6 crashes) in the prior year to 1.4% (3 crashes) in the current period. Correspondingly, property-damage-only crashes increased as a share of the total, rising from 68.6% to 74.8% year-over-year.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.5%
Serious Injury3serious injury crashes1.4%
-50.0%prior 6
Minor Injury33minor injury crashes15.4%
-2.9%prior 34
Possible Injury17possible injury crashes7.9%
-32.0%prior 25
No Injury160no injury crashes74.8%
12.7%prior 142

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Most severe injury per crash record

Road & Environmental Conditions

The distribution of environmental conditions during crashes remained largely consistent year-over-year. Collisions in clear weather and daylight conditions constituted the vast majority in both August 2024 (69.6% and 79.4%, respectively) and August 2023 (69.6% and 78.7%, respectively). There was a minor decrease in the proportion of crashes occurring on wet road surfaces, from 13.0% of all incidents in the prior year to 10.7% in the current period.

Weather

Clear149 (69.6%)
3.5%prior 144
Cloudy44 (20.6%)
2.3%prior 43
Rain20 (9.3%)
17.6%prior 17
Other/Unknown1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Weather condition at time of crash

Lighting

Daylight170 (79.4%)
4.3%prior 163
Dark - Roadway Not Lighted17 (7.9%)
-26.1%prior 23
Dark - Lighted Roadway15 (7.0%)
0.0%prior 15
Dawn/Dusk8 (3.7%)
Dark - Unknown Roadway Lighting3 (1.4%)
Other/Unknown1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Lighting condition field

Road Surface

Dry189 (88.3%)
5.0%prior 180
Wet23 (10.7%)
-14.8%prior 27
Other/Unknown1 (0.5%)
Water (Standing; Moving)1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Road surface condition field

Vehicles & Demographics

An analysis of vehicles involved in crashes shows Chevrolet (69 vehicles) surpassed Ford (59 vehicles) as the most frequently involved make in August 2024, reversing the order from August 2023. The age demographics of persons involved in crashes also shifted, with a decrease in the proportion of individuals aged 16-20 (from 15.1% to 10.8%). Conversely, the 55-64 age group's involvement increased from 6.6% to 11.9% of all persons.

Top Vehicle Makes (392 vehicles)

1
CHEVROLET69 (17.6%)
13.1%prior 61
2
FORD59 (15.1%)
-9.2%prior 65
3
HONDA42 (10.7%)
16.7%prior 36
4
DODGE18 (4.6%)
-33.3%prior 27
5
TOYOTA15 (3.8%)
-11.8%prior 17
6
HYUNDAI15 (3.8%)
25.0%prior 12
7
GMC15 (3.8%)
25.0%prior 12
8
CHRYSLER14 (3.6%)
27.3%prior 11
9
NISSAN13 (3.3%)
85.7%prior 7
10
JEEP12 (3.1%)
-25.0%prior 16

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · Vehicle unit records

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

Sex Distribution (469 persons with recorded sex)

Male270 (57.6%)
5.5%prior 256
Female199 (42.4%)
-6.1%prior 212

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-08-01 to 2024-08-31 · 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: 2024-08-01 through 2024-08-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2024-08-01 through 2024-08-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 214
  • Total persons involved: 489
  • Total vehicles involved: 392

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: August 2024." Published July 6, 2026. Reporting period: 2024-08-01 to 2024-08-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/august-2024-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 — August 2024 | ThatCarHitMe.com