Yearly Traffic Safety Analysis

345 CRASHES IN
AVON, OH
2024

All metrics benchmarked against2023

In 2024, Avon experienced 345 crashes, a decrease from 484 crashes reported in 2023. This represents a 28.72% reduction in total crashes year-over-year. A notable shift includes an increase in total fatalities, rising from 0 in 2023 to 2 in 2024.

345

▼ -28.7%was 484

Total Crash Events

2

Persons Killed

108

▼ -34.5%was 165

Persons Injured

22

▼ -37.1%was 35

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 · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash trends in Avon show a significant decline from 2023 to 2024. Total crashes decreased by 28.72%, from 484 to 345. Similarly, total injuries saw a substantial reduction of 34.55%, falling from 165 to 108.

22

Hit-and-Run Crashes — 2024

▼ -37.1% vs prior (35)

Hit-and-run incidents decreased year-over-year, with 22 crashes reported in 2024 compared to 35 in 2023. The hit-and-run rate also saw a reduction, moving from 7.2% in 2023 to 6.4% in 2024.

Vulnerable Road User Casualties

2

Motorists Killed

Prior: 0→%

108

Motorists Injured

Prior: 163↓-33.7%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns for crashes shifted between the two periods. In 2024, the peak day for crashes was Friday with 75 incidents, whereas in 2023, Tuesday was the peak day with 92 incidents. The peak hour for crashes also shifted, with 5 PM recording 38 crashes in 2024, compared to 4 PM recording 52 crashes in 2023.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The distribution of crash severity shows changes year-over-year. Fatal crashes increased from 0 in 2023 to 2 in 2024, raising the fatal crash rate from 0% to 0.58%. While serious injuries remained constant at 3 incidents in both years, minor injuries decreased from 53 to 35, and possible injuries decreased from 62 to 42.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.6%
Serious Injury3serious injury crashes0.9%
→0.0%prior 3
Minor Injury35minor injury crashes10.1%
↓-34.0%prior 53
Possible Injury42possible injury crashes12.2%
↓-32.3%prior 62
No Injury263no injury crashes76.2%
↓-28.1%prior 366

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crash conditions show a general decrease across most categories. Crashes occurring in clear weather decreased from 284 to 215, while those in cloudy conditions fell from 111 to 74. Crashes on dry road surfaces decreased from 364 to 257, and crashes on wet surfaces decreased from 85 to 71. Notably, crashes occurring in dark conditions on unlighted roadways increased from 10 to 15.

Weather

Clear215 (62.3%)
↓-24.3%prior 284
Cloudy74 (21.4%)
↓-33.3%prior 111
Rain37 (10.7%)
↓-28.8%prior 52
Snow19 (5.5%)
↓-48.6%prior 37

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash

Lighting

Daylight261 (75.7%)
↓-30.0%prior 373
Dark - Lighted Roadway44 (12.8%)
↓-34.3%prior 67
Dawn/Dusk23 (6.7%)
↓-25.8%prior 31
Dark - Roadway Not Lighted15 (4.3%)
↑50.0%prior 10
Dark - Unknown Roadway Lighting2 (0.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field

Road Surface

Dry257 (74.5%)
↓-29.4%prior 364
Wet71 (20.6%)
↓-16.5%prior 85
Snow16 (4.6%)
↓-33.3%prior 24
Ice1 (0.3%)
↓-85.7%prior 7

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 945 in 2023 to 644 in 2024. Passenger cars involved in crashes decreased from 399 to 304, and sport utility vehicles decreased from 340 to 198. Conversely, the number of motorcycles involved in crashes increased from 1 in 2023 to 7 in 2024.

Top Vehicle Makes (644 vehicles)

1
FORD84 (13%)
↓-48.5%prior 163
2
CHEVROLET79 (12.3%)
↓-33.6%prior 119
3
TOYOTA59 (9.2%)
↓-24.4%prior 78
4
HONDA55 (8.5%)
↓-32.1%prior 81
5
NISSAN31 (4.8%)
↓-27.9%prior 43
6
KIA30 (4.7%)
↓-55.9%prior 68
7
JEEP27 (4.2%)
↓-37.2%prior 43
8
DODGE25 (3.9%)
↓-19.4%prior 31
9
BUICK24 (3.7%)
↑4.3%prior 23
10
HYUNDAI23 (3.6%)
↓-34.3%prior 35

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records

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

Sex Distribution (862 persons with recorded sex)

Male439 (50.9%)
↓-30.6%prior 633
Female423 (49.1%)
↓-30.0%prior 604

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2024-01-01 through 2024-12-31 (366 days)
  • Geographic scope: Avon, OH
  • Total crash records analyzed: 345
  • Total persons involved: 867
  • Total vehicles involved: 644

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). "Avon, OH Crash Intelligence Report: 2024." Published July 5, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/avon/2024-annual-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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Avon, OH Crash Report — 2024 | ThatCarHitMe.com