Yearly Traffic Safety Analysis

2,132 CRASHES IN
HAMILTON, OH
2022

All metrics benchmarked against2021

In 2022, total crashes in Hamilton decreased by 10.68% to 2132, down from 2387 crashes in 2021. The most significant year-over-year shift was a 77.78% reduction in total fatalities, which dropped from 9 in 2021 to 2 in 2022. This indicates a notable decline in overall crash incidents and their most severe outcomes.

2,132

▼ -10.7%was 2,387

Total Crash Events

2

▼ -77.8%was 9

Persons Killed

806

▼ -5.7%was 855

Persons Injured

515

▼ -13.0%was 592

Hit-and-Run Crashes

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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 · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for Hamilton shows a downward trend year-over-year. Total crashes decreased by 10.68%, falling from 2387 in 2021 to 2132 in 2022. Total fatalities saw a substantial decline of 77.78%, dropping from 9 in 2021 to 2 in 2022, while total injuries also decreased by 5.73%, from 855 to 806.

515

Hit-and-Run Crashes — 2022

▼ -13.0% vs prior (592)

Hit-and-run crashes decreased from 592 in 2021 to 515 in 2022, representing a 12.99% reduction. The hit-and-run crash rate also saw a slight decrease from 24.8% of total crashes in 2021 to 24.2% in 2022. This indicates a downward trend in both the absolute number and the proportion of hit-and-run incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 4↓-100.0%

2

Motorists Killed

Prior: 5↓-60.0%

17

Pedestrians Injured

Prior: 23↓-26.1%

789

Motorists Injured

Prior: 832↓-5.2%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · 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 Thursday in 2021, with 372 incidents, to Friday in 2022, with 359 incidents. The peak hour for crashes remained consistent at 4 PM in both years, with 198 crashes in 2021 and 199 crashes in 2022. Crashes on Monday decreased from 353 in 2021 to 293 in 2022, and Saturday crashes decreased from 333 to 272 during the same period.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The number of fatal crashes decreased significantly from 8 in 2021 to 2 in 2022, resulting in a fatal crash rate reduction from 0.34% to 0.09%. Serious injury crashes (code A) also declined from 29 in 2021 to 23 in 2022. Overall, injury crashes (codes A, B, C) decreased from 616 in 2021 to 564 in 2022.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.1%
↓-75.0%prior 8
Serious Injury23serious injury crashes1.1%
↓-20.7%prior 29
Minor Injury278minor injury crashes13%
↓-11.5%prior 314
Possible Injury263possible injury crashes12.3%
↓-3.7%prior 273
No Injury1,566no injury crashes73.5%
↓-11.2%prior 1,763

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased from 1380 in 2021 to 1273 in 2022, while crashes in rainy conditions also saw a reduction from 275 to 207. Similarly, crashes on dry road surfaces decreased from 1774 to 1639, and on wet surfaces from 521 to 355. The proportion of crashes occurring in daylight remained relatively stable, at 65.5% in 2021 and 65.1% in 2022.

Weather

Clear1,273 (59.7%)
↓-7.8%prior 1,380
Cloudy507 (23.8%)
↓-17.4%prior 614
Rain207 (9.7%)
↓-24.7%prior 275
Other/Unknown68 (3.2%)
↑19.3%prior 57
Snow49 (2.3%)
→0.0%prior 49
Blowing Sand; Soil; Dirt; Snow14 (0.7%)
Fog; Smog; Smoke6 (0.3%)
→0.0%prior 6
Sleet; Hail5 (0.2%)
Severe Crosswinds2 (0.1%)
Freezing Rain or Freezing Drizzle1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash

Lighting

Daylight1,388 (65.1%)
↓-11.2%prior 1,563
Dark - Lighted Roadway390 (18.3%)
↓-13.5%prior 451
Dark - Roadway Not Lighted165 (7.7%)
↓-14.5%prior 193
Dawn/Dusk125 (5.9%)
↑0.8%prior 124
Other/Unknown57 (2.7%)
↑18.8%prior 48
Dark - Unknown Roadway Lighting7 (0.3%)
↓-12.5%prior 8

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field

Road Surface

Dry1,639 (76.9%)
↓-7.6%prior 1,774
Wet355 (16.7%)
↓-31.9%prior 521
Snow63 (3.0%)
↑75.0%prior 36
Other/Unknown43 (2.0%)
↑16.2%prior 37
Ice25 (1.2%)
↑56.3%prior 16
Slush4 (0.2%)
Sand; Mud; Dirt; Oil; Gravel2 (0.1%)
Water (Standing; Moving)1 (0.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 4615 in 2021 to 4129 in 2022. Passenger Cars involved in crashes decreased from 2148 to 1872, while Sport Utility Vehicles involved increased slightly from 978 to 1003. The number of persons aged 0-15 involved in crashes increased from 619 in 2021 to 674 in 2022, while those aged 65+ decreased from 531 to 466.

Top Vehicle Makes (4,129 vehicles)

1
CHEVROLET683 (16.5%)
↓-5.4%prior 722
2
FORD580 (14%)
↓-10.1%prior 645
3
TOYOTA363 (8.8%)
↓-9.7%prior 402
4
HONDA333 (8.1%)
↓-11.4%prior 376
5
NISSAN209 (5.1%)
↓-7.5%prior 226
6
HYUNDAI176 (4.3%)
↓-7.9%prior 191
7
DODGE168 (4.1%)
↓-17.6%prior 204
8
KIA164 (4%)
↑2.5%prior 160
9
JEEP129 (3.1%)
↓-7.9%prior 140
10
GMC109 (2.6%)
↓-13.5%prior 126

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records

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

Sex Distribution (4,747 persons with recorded sex)

Male2,504 (52.7%)
↓-8.9%prior 2,748
Female2,243 (47.3%)
↓-2.0%prior 2,289

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2022-01-01 through 2022-12-31 (365 days)
  • Geographic scope: Hamilton, OH
  • Total crash records analyzed: 2,132
  • Total persons involved: 5,170
  • Total vehicles involved: 4,129

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: 2022." Published July 6, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/hamilton/2022-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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Hamilton, OH Crash Report — 2022 | ThatCarHitMe.com