Yearly Traffic Safety Analysis

1,189 CRASHES IN
CUYAHOGA FALLS, OH
2024

All metrics benchmarked against2023

Total crashes in Cuyahoga Falls increased by 8.78% from 1093 in 2023 to 1189 in 2024. Despite this increase in overall crashes, total fatalities significantly decreased by 83.33%, from 6 in 2023 to 1 in 2024. This notable reduction in fatalities is the most significant year-over-year shift.

1,189

▲ 8.8%was 1,093

Total Crash Events

1

▼ -83.3%was 6

Persons Killed

253

▼ -18.6%was 311

Persons Injured

187

▲ 29.9%was 144

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 · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Cuyahoga Falls saw an increase, with total crashes rising by 8.78% from 1093 in 2023 to 1189 in 2024. Conversely, fatalities experienced a substantial decline of 83.33%, decreasing from 6 in 2023 to 1 in 2024. Total injuries also decreased by 18.65%, from 311 in 2023 to 253 in 2024.

187

Hit-and-Run Crashes — 2024

▲ 29.9% vs prior (144)

Hit-and-run crashes increased by 29.9% from 144 incidents in 2023 to 187 in 2024. The hit-and-run crash rate also rose, increasing from 13.2% of total crashes in 2023 to 15.7% in 2024. This represents an increase of 2.5 percentage points year-over-year.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 3↓-66.7%

0

Motorists Killed

Prior: 3↓-100.0%

11

Pedestrians Injured

Prior: 11→0.0%

242

Motorists Injured

Prior: 300↓-19.3%

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 peak day for crashes shifted from Tuesday in 2023 (188 crashes) to Friday in 2024 (199 crashes). The peak hour also changed, moving from 4 p.m. in 2023 (106 crashes) to 5 p.m. in 2024 (132 crashes). Crashes on Fridays increased by 25.95% (from 158 to 199), while crashes on Tuesdays decreased by 9.57% (from 188 to 170).

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

The fatal crash rate decreased significantly from 0.5% of total crashes in 2023 to 0.1% in 2024. While serious injury crashes remained relatively stable in count (20 in 2023 vs. 18 in 2024), their proportion of total crashes slightly decreased from 1.8% to 1.5%. Crashes resulting in minor injuries also saw a decrease, falling from 10.1% of total crashes in 2023 to 7.4% in 2024. Conversely, crashes with no injuries increased their proportion from 79.3% to 84.4% year-over-year.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.1%
↓-83.3%prior 6
Serious Injury18serious injury crashes1.5%
↓-10.0%prior 20
Minor Injury88minor injury crashes7.4%
↓-20.0%prior 110
Possible Injury78possible injury crashes6.6%
↓-13.3%prior 90
No Injury1,004no injury crashes84.4%
↑15.8%prior 867

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

Crashes occurring in clear weather conditions increased by 18.0% from 573 in 2023 to 676 in 2024, while those in cloudy conditions rose by 7.4% from 298 to 320. Crashes during daylight hours increased by 10.0% from 794 to 873. Incidents on dry road surfaces increased by 17.5% from 770 to 905, whereas crashes on wet road surfaces decreased by 7.9% from 240 to 221.

Weather

Clear676 (56.9%)
↑18.0%prior 573
Cloudy320 (26.9%)
↑7.4%prior 298
Rain123 (10.3%)
↓-1.6%prior 125
Snow55 (4.6%)
↓-29.5%prior 78
Other/Unknown9 (0.8%)
↓-35.7%prior 14
Freezing Rain or Freezing Drizzle3 (0.3%)
Sleet; Hail2 (0.2%)
Fog; Smog; Smoke1 (0.1%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash

Lighting

Daylight873 (73.4%)
↑9.9%prior 794
Dark - Lighted Roadway197 (16.6%)
→0.0%prior 197
Dawn/Dusk66 (5.6%)
↑32.0%prior 50
Dark - Roadway Not Lighted40 (3.4%)
↑5.3%prior 38
Dark - Unknown Roadway Lighting8 (0.7%)
↑33.3%prior 6
Other/Unknown5 (0.4%)
↓-37.5%prior 8

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field

Road Surface

Dry905 (76.1%)
↑17.5%prior 770
Wet221 (18.6%)
↓-7.9%prior 240
Snow42 (3.5%)
↓-16.0%prior 50
Ice13 (1.1%)
↓-27.8%prior 18
Other/Unknown8 (0.7%)
↓-27.3%prior 11

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 increased by 7.7% from 2090 in 2023 to 2251 in 2024. Ford remained the top make involved, increasing from 283 to 288 vehicles, while Honda saw a 18.0% increase from 206 to 243 vehicles. The age group 0-15 years saw a 29.6% decrease in persons involved (from 331 to 233), while the 55-64 age group experienced a 16.1% increase (from 267 to 310).

Top Vehicle Makes (2,251 vehicles)

1
FORD288 (12.8%)
↑1.8%prior 283
2
HONDA243 (10.8%)
↑18.0%prior 206
3
CHEVROLET236 (10.5%)
↓-3.7%prior 245
4
TOYOTA219 (9.7%)
↑15.3%prior 190
5
HYUNDAI134 (6%)
↑0.8%prior 133
6
KIA126 (5.6%)
↑15.6%prior 109
7
NISSAN120 (5.3%)
↑6.2%prior 113
8
JEEP118 (5.2%)
↑11.3%prior 106
9
SUBARU84 (3.7%)
↑42.4%prior 59
10
DODGE76 (3.4%)
↑10.1%prior 69

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records

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

Sex Distribution (2,615 persons with recorded sex)

Male1,335 (51.1%)
↓-0.1%prior 1,337
Female1,280 (48.9%)
↓-0.8%prior 1,290

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 5, 2026

Data Coverage

  • Reporting period: 2024-01-01 through 2024-12-31 (366 days)
  • Geographic scope: Cuyahoga Falls, OH
  • Total crash records analyzed: 1,189
  • Total persons involved: 2,756
  • Total vehicles involved: 2,251

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). "Cuyahoga Falls, OH Crash Intelligence Report: 2024." Published July 5, 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/cuyahoga-falls/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

Cuyahoga Falls, OH Crash Report — 2024 | ThatCarHitMe.com