Yearly Traffic Safety Analysis

344 CRASHES IN
ATHENS, OH
2024

All metrics benchmarked against2023

Total crashes in Athens decreased by 14.85% from 404 in the prior period to 344 in the current period. This reduction was accompanied by a 26.56% decrease in total injuries, falling from 128 to 94. The most notable shift was the significant increase in hit-and-run crash rates, rising from 4.7% to 7.3% of all crashes.

344

-14.9%was 404

Total Crash Events

1

Persons Killed

94

-26.6%was 128

Persons Injured

25

31.6%was 19

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, crashes in Athens showed a downward trend year-over-year, with total crashes decreasing by 60 incidents, representing a 14.85% reduction from the prior period. Total injuries also saw a substantial decline, dropping by 34 individuals, a 26.56% decrease. Fatalities remained stable at 1 in both periods.

25

Hit-and-Run Crashes — 2024

31.6% vs prior (19)

Hit-and-run crashes increased by 31.58% year-over-year, rising from 19 incidents in the prior period to 25 in the current period. This resulted in an increase in the hit-and-run crash rate from 4.7% to 7.3% of all crashes. The data indicates an upward trend in the proportion of crashes involving a hit-and-run.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

1

Motorists Killed

Prior: 10.0%

8

Pedestrians Injured

Prior: 633.3%

86

Motorists Injured

Prior: 122-29.5%

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 remained Friday in both periods, though the number of crashes on Fridays decreased from 100 in the prior period to 78 in the current period. The peak crash hour shifted from 5 p.m. with 38 crashes in the prior period to 3 p.m. with 31 crashes in the current period. Crashes occurring in the 5 a.m. hour decreased from 9 in the prior period to 0 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 number of fatal crashes remained consistent at 1 for both periods, though the fatal crash rate slightly increased from 0.25% to 0.29% due to fewer total crashes. Serious injury crashes decreased by 42.86%, from 14 to 8, while minor injury crashes decreased by 34.62%, from 52 to 34. Overall, crashes resulting in any injury (serious, minor, or possible) decreased from 100 in the prior period to 74 in the current period.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.3%
0.0%prior 1
Serious Injury8serious injury crashes2.3%
-42.9%prior 14
Minor Injury34minor injury crashes9.9%
-34.6%prior 52
Possible Injury32possible injury crashes9.3%
-5.9%prior 34
No Injury269no injury crashes78.2%
-11.2%prior 303

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

The proportion of crashes occurring in clear weather conditions increased from 60.4% in the prior period to 65.4% in the current period. Similarly, crashes on dry road surfaces increased proportionally from 77.2% to 80.5%. Crashes occurring in wet conditions decreased proportionally from 20.3% to 16.9%, and crashes on dark, unlighted roadways decreased from 11.9% to 10.5% of all crashes.

Weather

Clear225 (65.4%)
-7.8%prior 244
Cloudy77 (22.4%)
-24.5%prior 102
Rain31 (9.0%)
-26.2%prior 42
Snow8 (2.3%)
0.0%prior 8
Fog; Smog; Smoke3 (0.9%)

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

Lighting

Daylight246 (71.5%)
-13.4%prior 284
Dark - Lighted Roadway50 (14.5%)
-9.1%prior 55
Dark - Roadway Not Lighted36 (10.5%)
-25.0%prior 48
Dawn/Dusk11 (3.2%)
-21.4%prior 14
Dark - Unknown Roadway Lighting1 (0.3%)

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

Road Surface

Dry277 (80.5%)
-11.2%prior 312
Wet58 (16.9%)
-29.3%prior 82
Snow5 (1.5%)
Ice2 (0.6%)
Slush2 (0.6%)

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 persons involved in crashes decreased from 926 in the prior period to 763 in the current period. The proportion of persons aged 0-15 involved in crashes decreased from 8.2% to 6.7%, and for those aged 65+ it decreased from 12.1% to 11.0%. Among top vehicle makes, Toyota moved from third to first place, increasing its count from 81 to 84, while Ford moved from first to third, decreasing from 103 to 70 vehicles involved.

Top Vehicle Makes (599 vehicles)

1
TOYOTA84 (14%)
3.7%prior 81
2
HONDA82 (13.7%)
-6.8%prior 88
3
FORD70 (11.7%)
-32.0%prior 103
4
CHEVROLET69 (11.5%)
9.5%prior 63
5
JEEP35 (5.8%)
-2.8%prior 36
6
NISSAN33 (5.5%)
-21.4%prior 42
7
HYUNDAI31 (5.2%)
-8.8%prior 34
8
SUBARU24 (4%)
-44.2%prior 43
9
DODGE21 (3.5%)
-22.2%prior 27
10
KIA19 (3.2%)
-38.7%prior 31

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

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

Sex Distribution (753 persons with recorded sex)

Male393 (52.2%)
-15.7%prior 466
Female360 (47.8%)
-18.7%prior 443

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: Athens, OH
  • Total crash records analyzed: 344
  • Total persons involved: 763
  • Total vehicles involved: 599

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). "Athens, 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/athens/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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Athens, OH Crash Report — 2024 | ThatCarHitMe.com