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Yearly Traffic Safety Analysis

169 CRASHES IN
GENOA, OH
2025

All metrics benchmarked against2024

Genoa experienced a 6.96% increase in total crashes year-over-year, rising from 158 crashes in the prior period to 169 crashes in the current period. Despite this increase, the number of DUI-related crashes saw a significant decrease of 46.15%, falling from 13 to 7. Total fatalities remained stable at 1 for both periods, while total injuries increased by 5.56%, from 72 to 76.

169

▲ 7.0%was 158

Total Crash Events

Persons Killed

▲ 5.6%was 72

Persons Injured

▼ -33.3%was 15

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 · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a slight increase in crash activity, with total crashes rising by 6.96% from 158 to 169. Total fatalities remained unchanged at 1 for both periods. However, total injuries increased by 5.56%, from 72 in the prior period to 76 in the current period.

Hit-and-Run Crashes — 2025

▼ -33.3% vs prior (15)

Hit-and-run crashes decreased by 33.33% year-over-year, falling from 15 in the prior period to 10 in the current period. Correspondingly, the hit-and-run rate decreased by 3.6 percentage points, from 9.5% to 5.9% of all crashes.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 0→0.0%

Motorists Killed

Prior: 1→0.0%

Pedestrians Injured

Prior: 2↓-50.0%

Motorists Injured

Prior: 70↑7.1%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Temporal patterns show a shift in peak crash times year-over-year. The peak day for crashes moved from Friday (35 crashes) in the prior period to Wednesday (33 crashes) in the current period. The peak hour also shifted from 7 AM (17 crashes) in the prior period to 5 PM (22 crashes) in the current period, indicating a change in when the most crashes occur.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The fatal crash rate slightly decreased from 0.63% in the prior period to 0.59% in the current period, with 1 fatal crash recorded in both periods. Serious injury crashes (severity A) increased by 100%, from 2 to 4, while minor injury crashes (severity B) rose by 23.08%, from 26 to 32. Conversely, possible injury crashes (severity C) decreased by 18.75%, from 16 to 13.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.6%

→0.0%prior 1

Serious Injury4serious injury crashes2.4%

↑100.0%prior 2

Minor Injury32minor injury crashes18.9%

↑23.1%prior 26

Possible Injury13possible injury crashes7.7%

↓-18.8%prior 16

No Injury119no injury crashes70.4%

↑5.3%prior 113

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather increased by 26.09%, from 92 to 116, while crashes in rainy conditions decreased by 30.43%, from 23 to 16. Crashes during 'Dark - Roadway Not Lighted' conditions increased by 38.46%, from 26 to 36. Crashes on wet road surfaces decreased by 25%, from 32 to 24.

Weather

Clear116 (68.6%)

↑26.1%prior 92

Cloudy28 (16.6%)

↓-9.7%prior 31

Rain16 (9.5%)

↓-30.4%prior 23

Snow8 (4.7%)

↓-20.0%prior 10

Fog; Smog; Smoke1 (0.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight124 (73.4%)

↑11.7%prior 111

Dark - Roadway Not Lighted36 (21.3%)

↑38.5%prior 26

Dawn/Dusk5 (3.0%)

↓-54.5%prior 11

Dark - Lighted Roadway4 (2.4%)

↓-55.6%prior 9

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry136 (80.5%)

↑17.2%prior 116

Wet24 (14.2%)

↓-25.0%prior 32

Snow7 (4.1%)

↓-22.2%prior 9

Ice2 (1.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased by 9.32%, from 279 to 305. There was a notable 175% increase in Semi-Tractor vehicles involved, rising from 4 to 11. Conversely, Sport Utility Vehicles involved in crashes decreased by 10.28%, from 107 to 96, while Passenger Cars involved increased by 20.59%, from 102 to 123.

Top Vehicle Makes (305 vehicles)

HONDA51 (16.7%)

↑15.9%prior 44

FORD41 (13.4%)

↑20.6%prior 34

CHEVROLET30 (9.8%)

→0.0%prior 30

TOYOTA26 (8.5%)

↑4.0%prior 25

NISSAN14 (4.6%)

↑40.0%prior 10

JEEP13 (4.3%)

↓-31.6%prior 19

KIA10 (3.3%)

→0.0%prior 10

HYUNDAI9 (3%)

↑28.6%prior 7

SUBARU9 (3%)

↑50.0%prior 6

VOLKSWAGEN8 (2.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records

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

Sex Distribution (393 persons with recorded sex)

Male220 (56.0%)

↑9.5%prior 201

Female173 (44.0%)

↑19.3%prior 145

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
Report generated: August 22, 2026

Data Coverage

Reporting period: 2025-01-01 through 2025-12-31 (365 days)
Geographic scope: Genoa, OH
Total crash records analyzed: 169
Total persons involved: 396
Total vehicles involved: 305

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). "Genoa, OH Crash Intelligence Report: 2025." Published August 22, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/genoa/2025-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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