Yearly Traffic Safety Analysis

354 CRASHES IN
ENGLEWOOD, OH
2025

All metrics benchmarked against2024

Total crashes in 2025 were 354, an increase of 6.95% from 331 crashes in 2024. The most significant year-over-year change was a 100% decrease in total fatalities, from 1 in 2024 to 0 in 2025. Additionally, serious injury crashes increased by 75%, from 4 in 2024 to 7 in 2025.

354

6.9%was 331

Total Crash Events

0

-100.0%was 1

Persons Killed

109

12.4%was 97

Persons Injured

40

25.0%was 32

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, crashes in Englewood increased by 6.95%, from 331 in 2024 to 354 in 2025. Total injuries rose by 12.37%, from 97 in 2024 to 109 in 2025. Fatalities decreased by 100%, from 1 fatality in 2024 to 0 fatalities in 2025.

40

Hit-and-Run Crashes — 2025

25.0% vs prior (32)

Hit-and-run crashes increased by 25%, rising from 32 crashes in 2024 to 40 crashes in 2025. The hit-and-run rate also increased from 9.7% in 2024 to 11.3% in 2025. This indicates an upward trend in hit-and-run incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 1-100.0%

0

Motorists Killed

Prior: 00.0%

3

Pedestrians Injured

Prior: 250.0%

106

Motorists Injured

Prior: 9511.6%

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 remained Friday in both periods, with 71 crashes in 2025 compared to 68 in 2024. The peak hour for crashes shifted from 5 PM with 32 crashes in 2024 to 4 PM with 42 crashes in 2025. Crashes occurring between 3 PM and 5 PM increased from 92 in 2024 to 109 in 2025.

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

Fatal crashes decreased by 100%, from 1 in 2024 to 0 in 2025. Serious injury crashes (severity A) increased by 75%, rising from 4 in 2024 to 7 in 2025. Minor injury crashes (severity B) and possible injury crashes (severity C) remained stable at 38 and 28 respectively in both periods.

Outcome by Severity (Crash Events)

Serious Injury7serious injury crashes2%
75.0%prior 4
Minor Injury38minor injury crashes10.7%
0.0%prior 38
Possible Injury28possible injury crashes7.9%
0.0%prior 28
No Injury281no injury crashes79.4%
8.1%prior 260

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 increased from 192 in 2024 to 203 in 2025, while cloudy conditions saw an increase from 76 to 92 crashes. Crashes in daylight conditions increased from 219 to 253, but those occurring in dark conditions on lighted roadways decreased from 74 to 56. Crashes on dry road surfaces increased from 252 to 278, while those on wet surfaces decreased from 66 to 58.

Weather

Clear203 (57.3%)
5.7%prior 192
Cloudy92 (26.0%)
21.1%prior 76
Rain37 (10.5%)
-14.0%prior 43
Snow14 (4.0%)
-6.7%prior 15
Other/Unknown6 (1.7%)
Sleet; Hail1 (0.3%)
Fog; Smog; Smoke1 (0.3%)

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

Lighting

Daylight253 (71.5%)
15.5%prior 219
Dark - Lighted Roadway56 (15.8%)
-24.3%prior 74
Dawn/Dusk24 (6.8%)
14.3%prior 21
Dark - Roadway Not Lighted16 (4.5%)
0.0%prior 16
Dark - Unknown Roadway Lighting4 (1.1%)
Other/Unknown1 (0.3%)

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

Road Surface

Dry278 (78.5%)
10.3%prior 252
Wet58 (16.4%)
-12.1%prior 66
Snow15 (4.2%)
87.5%prior 8
Ice2 (0.6%)
Other/Unknown1 (0.3%)

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 increased by 6.44%, from 637 in 2024 to 678 in 2025. The highest number of persons involved in crashes in 2025 was in the 26-34 age group with 162 persons, an increase from 126 persons in that age group in 2024. Chevrolet remained the most frequently involved vehicle make, with its count increasing from 112 in 2024 to 126 in 2025.

Top Vehicle Makes (678 vehicles)

1
CHEVROLET126 (18.6%)
12.5%prior 112
2
FORD89 (13.1%)
0.0%prior 89
3
HONDA65 (9.6%)
18.2%prior 55
4
TOYOTA60 (8.8%)
-3.2%prior 62
5
NISSAN42 (6.2%)
44.8%prior 29
6
KIA27 (4%)
35.0%prior 20
7
HYUNDAI27 (4%)
-6.9%prior 29
8
DODGE25 (3.7%)
-3.8%prior 26
9
CHRYSLER23 (3.4%)
43.8%prior 16
10
GMC21 (3.1%)
16.7%prior 18

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

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

Sex Distribution (875 persons with recorded sex)

Male476 (54.4%)
13.3%prior 420
Female399 (45.6%)
5.3%prior 379

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 5, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-12-31 (365 days)
  • Geographic scope: Englewood, OH
  • Total crash records analyzed: 354
  • Total persons involved: 894
  • Total vehicles involved: 678

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). "Englewood, OH Crash Intelligence Report: 2025." Published July 5, 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/englewood/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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Englewood, OH Crash Report — 2025 | ThatCarHitMe.com