Monthly Traffic Safety Analysis

185 CRASHES IN
OHIO, OH
JULY 2024

All metrics benchmarked againstJuly 2023

In July 2024, Allen County recorded 185 total crashes, a 3.1% decrease from the 191 crashes reported in July 2023. Despite the overall reduction in collisions, the number of injuries rose by 38.6%, from 57 to 79. The most notable year-over-year change was the 43.2% decrease in hit-and-run incidents, which fell from 37 to 21.

185

-3.1%was 191

Total Crash Events

0

-100.0%was 1

Persons Killed

79

38.6%was 57

Persons Injured

21

-43.2%was 37

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 · 2024-07-01 to 2024-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Year-over-year, total crashes in Allen County saw a slight decline, falling by 3.1% from 191 in July 2023 to 185 in July 2024. However, the severity of these incidents increased, with total injuries climbing by 38.6% from 57 to 79. Fatalities decreased from one in the prior period to zero in the current period.

21

Hit-and-Run Crashes — July 2024

-43.2% vs prior (37)

Hit-and-run incidents saw a significant downward trend in Allen County. The number of hit-and-run crashes fell by 43.2%, from 37 in July 2023 to 21 in July 2024. Consequently, the hit-and-run rate, which represents the percentage of all crashes that were hit-and-runs, decreased from 19.4% to 11.4% over the same period.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 1-100.0%

2

Pedestrians Injured

Prior: 0%

77

Motorists Injured

Prior: 5735.1%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. In July 2024, the peak day for crashes was Wednesday with 42 incidents, a change from Monday (32 incidents) in the prior year. The peak hour for collisions also moved slightly later in the day, from 3 p.m. (15 crashes) in July 2023 to 4 p.m. (17 crashes) in July 2024.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While Allen County recorded no fatal crashes in July 2024, down from one in July 2023, the overall proportion of injury-related crashes increased. Crashes resulting in any level of injury accounted for 30.3% of all incidents in the current period, a notable rise from 19.3% in the prior year. Specifically, the share of Minor Injury crashes increased from 11.5% to 17.3% of the total, and Possible Injury crashes rose from 4.7% to 9.2%.

Outcome by Severity (Crash Events)

Serious Injury7serious injury crashes3.8%
16.7%prior 6
Minor Injury32minor injury crashes17.3%
45.5%prior 22
Possible Injury17possible injury crashes9.2%
88.9%prior 9
No Injury129no injury crashes69.7%
-15.7%prior 153

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Most severe injury per crash record

Road & Environmental Conditions

The proportion of crashes occurring in adverse weather and road conditions increased year-over-year. Crashes in rainy weather rose from 5.8% (11 incidents) of the total in July 2023 to 10.8% (20 incidents) in July 2024. Similarly, collisions on wet road surfaces increased from 8.4% (16 crashes) to 16.2% (30 crashes). The distribution of crashes by lighting conditions remained relatively stable between the two periods.

Weather

Clear134 (72.4%)
-5.0%prior 141
Cloudy30 (16.2%)
-14.3%prior 35
Rain20 (10.8%)
81.8%prior 11
Other/Unknown1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Weather condition at time of crash

Lighting

Daylight135 (73.0%)
-4.3%prior 141
Dark - Roadway Not Lighted25 (13.5%)
13.6%prior 22
Dark - Lighted Roadway14 (7.6%)
-12.5%prior 16
Dawn/Dusk9 (4.9%)
0.0%prior 9
Dark - Unknown Roadway Lighting1 (0.5%)
Other/Unknown1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Lighting condition field

Road Surface

Dry153 (82.7%)
-12.6%prior 175
Wet30 (16.2%)
87.5%prior 16
Other/Unknown1 (0.5%)
Water (Standing; Moving)1 (0.5%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Road surface condition field

Vehicles & Demographics

The top vehicle makes involved in crashes remained consistent, with Ford (55 vehicles) and Chevrolet (51 vehicles) leading in July 2024, similar to the prior year. While the top rankings were stable, the types of vehicles involved showed a shift; crashes involving Passenger Cars increased from 151 to 175, while those involving Sport Utility Vehicles decreased from 88 to 53. The number of Pick up trucks in collisions saw a slight increase from 41 to 46.

Top Vehicle Makes (323 vehicles)

1
FORD55 (17%)
-5.2%prior 58
2
CHEVROLET51 (15.8%)
-3.8%prior 53
3
DODGE28 (8.7%)
16.7%prior 24
4
HONDA27 (8.4%)
-3.6%prior 28
5
TOYOTA16 (5%)
6.7%prior 15
6
CHRYSLER15 (4.6%)
87.5%prior 8
7
NISSAN15 (4.6%)
66.7%prior 9
8
KIA11 (3.4%)
-42.1%prior 19
9
GMC11 (3.4%)
-15.4%prior 13
10
JEEP10 (3.1%)
-9.1%prior 11

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · Vehicle unit records

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

Sex Distribution (406 persons with recorded sex)

Male227 (55.9%)
6.6%prior 213
Female179 (44.1%)
4.1%prior 172

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-07-01 to 2024-07-31 · 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: 2024-07-01 through 2024-07-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2024-07-01 through 2024-07-31 (31 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 185
  • Total persons involved: 421
  • Total vehicles involved: 323

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: July 2024." Published July 6, 2026. Reporting period: 2024-07-01 to 2024-07-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/july-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

ThatCarHitMe.com · An Injuria.ai Company

Allen County, OH Crash Report — July 2024 | ThatCarHitMe.com