SponsoredThatCarHitMe.com

If you're a data point in this report, call us.

We'll evaluate whether you have a case. Free, and no pressure.

(888) 988-8341Free for accident victims

Yearly Traffic Safety Analysis

155 CRASHES IN
GENOA, OH
2023

All metrics benchmarked against2022

Total crashes in Genoa decreased by 4.9% year-over-year, from 163 crashes in 2022 to 155 crashes in 2023. A notable shift was the increase in total fatalities from 0 in 2022 to 1 in 2023. Despite the overall reduction in crashes, the presence of a fatal crash marks a significant change in safety outcomes.

155

▼ -4.9%was 163

Total Crash Events

Persons Killed

▲ 1.8%was 56

Persons Injured

▲ 22.2%was 9

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 · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Genoa showed a slight downward trend, decreasing by 4.9% from 163 crashes in 2022 to 155 crashes in 2023. While total injuries remained relatively stable, with 56 in 2022 and 57 in 2023, the jurisdiction recorded one fatality in 2023 compared to zero in the prior year.

Hit-and-Run Crashes — 2023

▲ 22.2% vs prior (9)

Hit-and-run crashes increased year-over-year, rising from 9 incidents in 2022 to 11 incidents in 2023. This represents an increase in the hit-and-run rate from 5.5% of all crashes in 2022 to 7.1% in 2023.

Vulnerable Road User Casualties

Motorists Killed

Prior: 0→%

Motorists Injured

Prior: 56↑1.8%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · 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 2022, with 31 crashes, to Wednesday in 2023, with 33 crashes. Similarly, the peak hour for crashes moved from 5 PM in 2022, with 15 incidents, to 3 PM in 2023, with 16 incidents. The monthly distribution of crashes varied, with May recording the highest number of crashes in 2022 (20 crashes) and March recording the highest in 2023 (19 crashes).

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased from 0 in 2022 to 1 in 2023. Crashes resulting in serious injuries (severity A) decreased significantly, from 5 incidents in 2022 to 1 in 2023. Conversely, crashes with minor injuries (severity B) increased from 21 in 2022 to 31 in 2023, while possible injury crashes (severity C) decreased from 14 to 9.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.6%

Serious Injury1serious injury crashes0.6%

↓-80.0%prior 5

Minor Injury31minor injury crashes20%

↑47.6%prior 21

Possible Injury9possible injury crashes5.8%

↓-35.7%prior 14

No Injury113no injury crashes72.9%

↓-8.1%prior 123

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased from 109 in 2022 to 91 in 2023, while crashes in rainy conditions more than doubled, from 10 to 24. There was a notable decrease in crashes occurring in "Dark - Roadway Not Lighted" conditions, dropping from 44 in 2022 to 28 in 2023. Crashes on wet road surfaces increased from 27 in 2022 to 38 in 2023.

Weather

Clear91 (58.7%)

↓-16.5%prior 109

Cloudy27 (17.4%)

↓-15.6%prior 32

Rain24 (15.5%)

↑140.0%prior 10

Snow11 (7.1%)

↑37.5%prior 8

Fog; Smog; Smoke1 (0.6%)

Sleet; Hail1 (0.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight114 (73.5%)

↑16.3%prior 98

Dark - Roadway Not Lighted28 (18.1%)

↓-36.4%prior 44

Dawn/Dusk10 (6.5%)

↓-9.1%prior 11

Dark - Lighted Roadway2 (1.3%)

↓-75.0%prior 8

Other/Unknown1 (0.6%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry108 (69.7%)

↓-12.2%prior 123

Wet38 (24.5%)

↑40.7%prior 27

Snow5 (3.2%)

↓-16.7%prior 6

Ice4 (2.6%)

↓-33.3%prior 6

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes remained stable, with 276 in 2022 and 278 in 2023. Honda vehicles became the most frequently involved make in 2023 with 55 incidents, surpassing Ford which dropped from 52 to 33 incidents. There was a significant decrease in persons aged 0-15 involved in crashes, from 48 in 2022 to 18 in 2023, and also a decrease in the 16-20 age group, from 74 to 57.

Top Vehicle Makes (278 vehicles)

HONDA55 (19.8%)

↑14.6%prior 48

FORD33 (11.9%)

↓-36.5%prior 52

TOYOTA28 (10.1%)

↑3.7%prior 27

CHEVROLET28 (10.1%)

↓-9.7%prior 31

GMC14 (5%)

↑180.0%prior 5

HYUNDAI10 (3.6%)

↑42.9%prior 7

JEEP10 (3.6%)

↓-23.1%prior 13

LEXUS7 (2.5%)

↑16.7%prior 6

MAZDA7 (2.5%)

NISSAN7 (2.5%)

↓-22.2%prior 9

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (326 persons with recorded sex)

Male178 (54.6%)

↓-12.3%prior 203

Female148 (45.4%)

↓-9.2%prior 163

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
Report generated: August 22, 2026

Data Coverage

Reporting period: 2023-01-01 through 2023-12-31 (365 days)
Geographic scope: Genoa, OH
Total crash records analyzed: 155
Total persons involved: 333
Total vehicles involved: 278

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: 2023." Published August 22, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/genoa/2023-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

ThatCarHitMe.com · An Injuria.ai Company