ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · CANTON, OH · 2024
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/canton/2024-annual-report
Yearly Traffic Safety Analysis
2,535 CRASHES IN
CANTON, OH
2024
Total crashes in Canton decreased by 5.72%, from 2,689 in the prior year to 2,535 in the current year. Despite this reduction in overall crashes, total fatalities significantly increased by 100%, rising from 5 to 10.
2,535
▼ -5.7%was 2,689
Total Crash Events
10
▲ 100.0%was 5
Persons Killed
787
▼ -0.6%was 792
Persons Injured
758
▼ -9.3%was 836
Hit-and-Run Crashes
Note: "Persons Killed" (10) counts individual fatalities across all crash events. "Fatal" in the severity table below (10) 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 crash trends indicate a decrease in total incidents, with crashes falling by 5.72% from 2,689 to 2,535 year-over-year. However, this period saw a concerning 100% increase in total fatalities, rising from 5 to 10. Total injuries remained relatively stable, experiencing a minor decrease of 0.63% from 792 to 787.
758
Hit-and-Run Crashes — 2024
▼ -9.3% vs prior (836)
Hit-and-run incidents decreased year-over-year, with the total number of hit-and-run crashes falling from 836 to 758. Consequently, the hit-and-run crash rate also saw a reduction, decreasing from 31.1% in the prior year to 29.9% in the current year.
Vulnerable Road User Casualties
1
Pedestrians Killed
9
Motorists Killed
29
Pedestrians Injured
758
Motorists Injured
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 temporal patterns of crashes remained largely consistent year-over-year, with Friday remaining the peak day for crashes in both periods, recording 431 incidents in the current year compared to 451 in the prior year. Similarly, 3 PM continued to be the peak hour for crashes, with 219 incidents in the current year, down from 259 in the prior year. The lowest number of crashes occurred on Sunday in both periods, with 294 in the current year and 299 in the prior year.
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
A notable shift occurred in crash severity, with total fatalities increasing by 100% from 5 in the prior year to 10 in the current year, causing the fatal crash rate to rise from 0.19% to 0.39%. Serious injuries also saw an increase, with 42 incidents (1.7% of crashes) in the current year compared to 35 incidents (1.3% of crashes) in the prior year. Conversely, minor injuries saw a slight decrease in count from 308 to 303, though their proportion of total crashes slightly increased from 11.5% to 12.0%. Possible injuries increased in both count and proportion, from 223 (8.3%) to 230 (9.1%).
Outcome by Severity (Crash Events)
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
Changes were observed in crash conditions, with crashes occurring in clear weather increasing from 1,231 to 1,366, while those in cloudy conditions decreased from 1,040 to 711. Crashes on dry road surfaces decreased from 2,117 to 1,880, while crashes on wet surfaces slightly increased from 484 to 497. Additionally, crashes occurring on snow-covered roads increased from 32 to 73, and those on icy roads increased from 9 to 36.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
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 vehicles involved in crashes decreased from 5,054 in the prior year to 4,695 in the current year. While Passenger Cars involved remained stable (2,449 to 2,470), there was a decrease in Sport Utility Vehicles involved, from 1,358 to 1,073. The age distribution of persons involved showed a general decrease across most age groups, with the 21-25 age group seeing a reduction from 667 to 544. Similarly, both male and female persons involved in crashes decreased, from 3,188 to 2,944 for males and from 2,775 to 2,535 for females.
Top Vehicle Makes (4,695 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
587 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (5,479 persons with recorded sex)
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 6, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: Canton, OH
- Total crash records analyzed: 2,535
- Total persons involved: 5,869
- Total vehicles involved: 4,695
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). "Canton, OH Crash Intelligence Report: 2024." Published July 6, 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/canton/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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2024-01-01 – 2024-12-31
Generated: July 6, 2026 · All rights reserved