Yearly Traffic Safety Analysis

202 CRASHES IN
FAYETTE, OH
2024

All metrics benchmarked against2023

Fayette experienced a 9.8% increase in total crashes, rising from 184 in the prior period to 202 in the current period. A notable shift was the increase in total fatalities, with 1 fatality reported in the current period compared to 0 in the prior period.

202

9.8%was 184

Total Crash Events

1

Persons Killed

116

0.9%was 115

Persons Injured

17

-15.0%was 20

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

Trend Summary

Overall, crash activity in Fayette shows an increasing trend year-over-year. Total crashes rose by 9.8%, from 184 to 202. This period also saw an increase in total fatalities, from 0 to 1, while total injuries remained nearly stable, moving from 115 to 116.

17

Hit-and-Run Crashes — 2024

-15.0% vs prior (20)

Hit-and-run crashes decreased from 20 in the prior period to 17 in the current period. Correspondingly, the hit-and-run rate decreased from 10.9% to 8.4%.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

1

Motorists Killed

Prior: 0%

1

Pedestrians Injured

Prior: 2-50.0%

115

Motorists Injured

Prior: 1131.8%

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 peak day for crashes shifted from Friday in the prior period to Wednesday in the current period, both recording 35 crashes. The peak crash hour also shifted, moving from 3 p.m. with 20 crashes in the prior period to 6 p.m. with 23 crashes in the current period. Crashes on Saturday increased significantly, from 16 in the prior period to 28 in the current period.

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 current period recorded 1 fatal crash, accounting for 0.5% of all crashes, compared to 0 fatal crashes in the prior period. Serious injury crashes decreased from 5 (2.7%) in the prior period to 2 (1%) in the current period. Minor injury crashes saw a slight increase from 34 to 36, while possible injury crashes decreased from 34 to 31.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.5%
Serious Injury2serious injury crashes1%
-60.0%prior 5
Minor Injury36minor injury crashes17.8%
5.9%prior 34
Possible Injury31possible injury crashes15.3%
-8.8%prior 34
No Injury132no injury crashes65.3%
18.9%prior 111

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

Crashes occurring in clear weather increased from 124 to 129, and cloudy weather crashes rose from 43 to 50. Crashes in dark-lighted conditions increased from 14 to 26, while those in dark-unlighted conditions decreased from 24 to 18. Crashes on dry roads increased from 147 to 159, and snow-related crashes appeared in the current period with 2 incidents, compared to none in the prior period.

Weather

Clear129 (63.9%)
4.0%prior 124
Cloudy50 (24.8%)
16.3%prior 43
Rain18 (8.9%)
28.6%prior 14
Snow3 (1.5%)
Fog; Smog; Smoke2 (1.0%)

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

Lighting

Daylight149 (73.8%)
11.2%prior 134
Dark - Lighted Roadway26 (12.9%)
85.7%prior 14
Dark - Roadway Not Lighted18 (8.9%)
-25.0%prior 24
Dawn/Dusk9 (4.5%)
-18.2%prior 11

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

Road Surface

Dry159 (78.7%)
8.2%prior 147
Wet38 (18.8%)
5.6%prior 36
Ice2 (1.0%)
Snow2 (1.0%)
Sand; Mud; Dirt; Oil; Gravel1 (0.5%)

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

Vehicles & Demographics

Total vehicles involved in crashes increased from 333 to 383 year-over-year. Passenger Cars increased from 142 to 159, and Sport Utility Vehicles from 100 to 104. Pickup truck involvement saw a notable increase from 47 to 76, while Semi-Tractor involvement decreased from 10 to 7.

Top Vehicle Makes (383 vehicles)

1
CHEVROLET62 (16.2%)
12.7%prior 55
2
FORD57 (14.9%)
23.9%prior 46
3
TOYOTA34 (8.9%)
0.0%prior 34
4
NISSAN31 (8.1%)
72.2%prior 18
5
HONDA27 (7%)
42.1%prior 19
6
HYUNDAI22 (5.7%)
57.1%prior 14
7
JEEP15 (3.9%)
7.1%prior 14
8
DODGE14 (3.7%)
7.7%prior 13
9
KIA13 (3.4%)
-23.5%prior 17
10
GMC13 (3.4%)
30.0%prior 10

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

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

Sex Distribution (515 persons with recorded sex)

Male285 (55.3%)
11.3%prior 256
Female230 (44.7%)
4.1%prior 221

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: Fayette, OH
  • Total crash records analyzed: 202
  • Total persons involved: 525
  • Total vehicles involved: 383

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). "Fayette, 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/fayette/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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Fayette, OH Crash Report — 2024 | ThatCarHitMe.com