Yearly Traffic Safety Analysis

488 CRASHES IN
BEACHWOOD, OH
2025

All metrics benchmarked against2024

In Beachwood, total crashes saw a slight increase of 0.62% from 485 in 2024 to 488 in 2025. The most significant year-over-year shift was a 100% decrease in fatalities, dropping from 3 in 2024 to 0 in 2025.

488

0.6%was 485

Total Crash Events

0

-100.0%was 3

Persons Killed

205

-12.4%was 234

Persons Injured

45

-6.3%was 48

Hit-and-Run Crashes

Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) 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 · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in Beachwood remained relatively stable, increasing by only 0.62% from 485 in 2024 to 488 in 2025. However, total injuries decreased by 12.39%, falling from 234 in 2024 to 205 in 2025, and fatalities saw a 100% reduction, from 3 in 2024 to 0 in 2025.

45

Hit-and-Run Crashes — 2025

-6.3% vs prior (48)

Hit-and-run crashes decreased by 6.25%, falling from 48 in 2024 to 45 in 2025. Concurrently, the overall hit-and-run rate also saw a slight decrease, moving from 9.9% in 2024 to 9.2% in 2025.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 3-100.0%

2

Pedestrians Injured

Prior: 0%

203

Motorists Injured

Prior: 234-13.2%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · 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 with 89 crashes in 2024 to Monday with 100 crashes in 2025. Similarly, the peak hour for crashes moved from 3 PM with 60 crashes in 2024 to 5 PM with 49 crashes in 2025, indicating a change in temporal patterns.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities decreased by 100%, dropping from 3 in 2024 to 0 in 2025. Serious injuries (code A) also decreased from 10 (2.1% of crashes) in 2024 to 8 (1.6%) in 2025, and possible injuries (code C) fell from 96 (19.8%) to 63 (12.9%). Conversely, minor injuries (code B) increased from 52 (10.7%) to 62 (12.7%), and crashes with no injuries increased from 324 (66.8%) to 355 (72.7%).

Outcome by Severity (Crash Events)

Serious Injury8serious injury crashes1.6%
-20.0%prior 10
Minor Injury62minor injury crashes12.7%
19.2%prior 52
Possible Injury63possible injury crashes12.9%
-34.4%prior 96
No Injury355no injury crashes72.7%
9.6%prior 324

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in clear weather conditions slightly increased from 242 in 2024 to 245 in 2025, while rain-related crashes decreased from 67 to 43. Snow-related crashes increased from 39 to 52, and ice-related crashes rose significantly from 2 to 14. Daylight crashes decreased from 393 to 377, while crashes in dark-lighted conditions increased from 68 to 80.

Weather

Clear245 (50.2%)
1.2%prior 242
Cloudy144 (29.5%)
5.1%prior 137
Snow52 (10.7%)
33.3%prior 39
Rain43 (8.8%)
-35.8%prior 67
Fog; Smog; Smoke2 (0.4%)
Freezing Rain or Freezing Drizzle1 (0.2%)
Severe Crosswinds1 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight377 (77.3%)
-4.1%prior 393
Dark - Lighted Roadway80 (16.4%)
17.6%prior 68
Dawn/Dusk26 (5.3%)
30.0%prior 20
Dark - Roadway Not Lighted5 (1.0%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry330 (67.6%)
-2.1%prior 337
Wet104 (21.3%)
-11.1%prior 117
Snow39 (8.0%)
39.3%prior 28
Ice14 (2.9%)
Slush1 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes saw a slight increase from 967 in 2024 to 970 in 2025. Passenger cars involved increased from 513 to 527, while Sport Utility Vehicles decreased slightly from 299 to 296. Among top makes, Chevrolet saw an increase from 76 to 83, while Toyota decreased from 60 to 54.

Top Vehicle Makes (970 vehicles)

1
OTHER/UNKNOWN525 (54.1%)
1.5%prior 517
2
CHEVROLET83 (8.6%)
9.2%prior 76
3
TOYOTA54 (5.6%)
-10.0%prior 60
4
HONDA49 (5.1%)
4.3%prior 47
5
FORD44 (4.5%)
-2.2%prior 45
6
JEEP41 (4.2%)
20.6%prior 34
7
SUBARU34 (3.5%)
25.9%prior 27
8
HYUNDAI29 (3%)
-19.4%prior 36
9
NISSAN24 (2.5%)
-25.0%prior 32
10
VOLKSWAGEN14 (1.4%)
-17.6%prior 17

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records

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

Sex Distribution (1,227 persons with recorded sex)

Female638 (52.0%)
-2.9%prior 657
Male589 (48.0%)
-2.5%prior 604

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-12-31 (365 days)
  • Geographic scope: Beachwood, OH
  • Total crash records analyzed: 488
  • Total persons involved: 1,250
  • Total vehicles involved: 970

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). "Beachwood, OH Crash Intelligence Report: 2025." Published July 6, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/beachwood/2025-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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Beachwood, OH Crash Report — 2025 | ThatCarHitMe.com