Yearly Traffic Safety Analysis

1,872 CRASHES IN
HAMILTON, OH
2023

All metrics benchmarked against2022

In 2023, Hamilton experienced 1872 total crashes, a decrease of 12.19% from the 2132 crashes recorded in 2022. Despite the overall reduction in crashes, total fatalities increased significantly by 150%, rising from 2 in 2022 to 5 in 2023.

1,872

▼ -12.2%was 2,132

Total Crash Events

▲ 150.0%was 2

Persons Killed

679

▼ -15.8%was 806

Persons Injured

427

▼ -17.1%was 515

Hit-and-Run Crashes

Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) 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 trends in Hamilton showed a notable decrease year-over-year, with total crashes falling by 12.19% from 2132 in 2022 to 1872 in 2023. Total injuries also decreased by 15.76%, from 806 in 2022 to 679 in 2023. However, total fatalities increased substantially by 150%, from 2 in 2022 to 5 in 2023.

427

Hit-and-Run Crashes — 2023

▼ -17.1% vs prior (515)

Hit-and-run incidents saw a decrease in both count and rate year-over-year. The number of hit-and-run crashes decreased from 515 in 2022 to 427 in 2023. The hit-and-run rate also decreased by 1.4 percentage points, from 24.2% of all crashes in 2022 to 22.8% in 2023.

Vulnerable Road User Casualties

Pedestrians Killed

Prior: 0→%

Motorists Killed

Prior: 2↑100.0%

Pedestrians Injured

Prior: 17↑5.9%

661

Motorists Injured

Prior: 789↓-16.2%

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

Temporal patterns in crashes showed some shifts between 2022 and 2023. The peak day for crashes moved from Friday in 2022 (359 crashes) to Tuesday in 2023 (297 crashes). Similarly, the peak crash hour shifted from 4 PM in 2022 (199 crashes) to 5 PM in 2023 (149 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

The distribution of crash severity saw changes year-over-year. The fatal crash rate increased from 0.09% of total crashes in 2022 to 0.27% in 2023. Serious injury crashes (code A) increased from 23 in 2022 to 27 in 2023, representing a slight increase in proportion from 1.1% to 1.4% of total crashes. Conversely, minor injury crashes (code B) decreased from 278 to 240, and possible injury crashes (code C) decreased from 263 to 223.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.3%

↑150.0%prior 2

Serious Injury27serious injury crashes1.4%

↑17.4%prior 23

Minor Injury240minor injury crashes12.8%

↓-13.7%prior 278

Possible Injury223possible injury crashes11.9%

↓-15.2%prior 263

No Injury1,377no injury crashes73.6%

↓-12.1%prior 1,566

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

Regarding crash conditions, the number of crashes occurring during adverse weather conditions generally decreased. Crashes during snow decreased from 49 in 2022 to 20 in 2023, and those on icy road surfaces fell from 25 to 8. However, crashes occurring during rain increased slightly from 207 in 2022 to 223 in 2023. The proportion of crashes occurring in clear weather or on dry road surfaces saw slight increases, despite overall crash count reductions.

Weather

Clear1,138 (60.8%)

↓-10.6%prior 1,273

Cloudy426 (22.8%)

↓-16.0%prior 507

Rain223 (11.9%)

↑7.7%prior 207

Other/Unknown37 (2.0%)

↓-45.6%prior 68

Snow20 (1.1%)

↓-59.2%prior 49

Blowing Sand; Soil; Dirt; Snow17 (0.9%)

↑21.4%prior 14

Fog; Smog; Smoke6 (0.3%)

→0.0%prior 6

Freezing Rain or Freezing Drizzle4 (0.2%)

Severe Crosswinds1 (0.1%)

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

Lighting

Daylight1,245 (66.5%)

↓-10.3%prior 1,388

Dark - Lighted Roadway340 (18.2%)

↓-12.8%prior 390

Dark - Roadway Not Lighted135 (7.2%)

↓-18.2%prior 165

Dawn/Dusk117 (6.3%)

↓-6.4%prior 125

Other/Unknown31 (1.7%)

↓-45.6%prior 57

Dark - Unknown Roadway Lighting4 (0.2%)

↓-42.9%prior 7

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

Road Surface

Dry1,464 (78.2%)

↓-10.7%prior 1,639

Wet359 (19.2%)

↑1.1%prior 355

Other/Unknown29 (1.5%)

↓-32.6%prior 43

Snow12 (0.6%)

↓-81.0%prior 63

Ice8 (0.4%)

↓-68.0%prior 25

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 decreased from 4129 in 2022 to 3615 in 2023. Passenger cars and SUVs remained the most frequently involved vehicle types, both seeing a decrease in their involvement counts. While all age groups saw a decrease in the number of persons involved in crashes, the proportional representation of the 0-15 age group decreased from 13.0% to 10.6%, whereas the 35-44 age group increased its representation from 13.3% to 15.2%.

Top Vehicle Makes (3,615 vehicles)

CHEVROLET549 (15.2%)

↓-19.6%prior 683

FORD482 (13.3%)

↓-16.9%prior 580

TOYOTA331 (9.2%)

↓-8.8%prior 363

HONDA328 (9.1%)

↓-1.5%prior 333

NISSAN168 (4.6%)

↓-19.6%prior 209

KIA162 (4.5%)

↓-1.2%prior 164

HYUNDAI150 (4.1%)

↓-14.8%prior 176

DODGE150 (4.1%)

↓-10.7%prior 168

JEEP116 (3.2%)

↓-10.1%prior 129

GMC107 (3%)

↓-1.8%prior 109

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

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

Sex Distribution (4,095 persons with recorded sex)

Male2,168 (52.9%)

↓-13.4%prior 2,504

Female1,927 (47.1%)

↓-14.1%prior 2,243

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: July 6, 2026

Data Coverage

Reporting period: 2023-01-01 through 2023-12-31 (365 days)
Geographic scope: Hamilton, OH
Total crash records analyzed: 1,872
Total persons involved: 4,407
Total vehicles involved: 3,615

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). "Hamilton, OH Crash Intelligence Report: 2023." Published July 6, 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/hamilton/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

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1,872 CRASHES INHAMILTON, OH2023