Yearly Traffic Safety Analysis

171 CRASHES IN
CHEVIOT, OH
2025

All metrics benchmarked against2024

Total crashes in 2025 decreased to 171, a 5.5% reduction compared to 181 crashes in 2024. A notable shift was observed in speeding-related crashes, which decreased by 60.7% year-over-year. Fatalities remained at zero in both periods.

171

-5.5%was 181

Total Crash Events

0

Persons Killed

42

Persons Injured

46

-2.1%was 47

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 crash activity in Cheviot experienced a slight decline, with total crashes decreasing by 5.5% from 181 in 2024 to 171 in 2025. Despite this, total injuries remained constant at 42 across both years. There were no fatalities reported in either the 2024 or 2025 periods.

46

Hit-and-Run Crashes — 2025

-2.1% vs prior (47)

The number of hit-and-run crashes slightly decreased from 47 in 2024 to 46 in 2025. However, the hit-and-run crash rate increased from 26.0% in 2024 to 26.9% in 2025.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

4

Pedestrians Injured

Prior: 40.0%

38

Motorists Injured

Prior: 380.0%

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, though the number of crashes on this day decreased from 30 in 2024 to 27 in 2025. The peak crash hour shifted from 5 PM with 17 crashes in 2024 to 3 PM with 15 crashes in 2025. Additionally, crashes occurring at 7 PM saw a significant increase from 4 in 2024 to 13 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

The number of serious injury (A) crashes remained stable at 3 in both 2024 and 2025. Minor injury (B) crashes increased by 61.5%, rising from 13 in 2024 to 21 in 2025. Conversely, possible injury (C) crashes decreased by 43.8%, falling from 16 in 2024 to 9 in 2025.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes1.8%
0.0%prior 3
Minor Injury21minor injury crashes12.3%
61.5%prior 13
Possible Injury9possible injury crashes5.3%
-43.8%prior 16
No Injury138no injury crashes80.7%
-7.4%prior 149

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 snowy weather conditions significantly increased by 300%, rising from 2 in 2024 to 8 in 2025. Similarly, crashes on snowy road surfaces increased by 166.7%, from 3 in 2024 to 8 in 2025. Crashes during cloudy conditions decreased from 30 in 2024 to 18 in 2025.

Weather

Clear118 (69.0%)
-6.3%prior 126
Rain23 (13.5%)
9.5%prior 21
Cloudy18 (10.5%)
-40.0%prior 30
Snow8 (4.7%)
Other/Unknown3 (1.8%)
Freezing Rain or Freezing Drizzle1 (0.6%)

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

Lighting

Daylight115 (67.3%)
-3.4%prior 119
Dark - Lighted Roadway35 (20.5%)
-12.5%prior 40
Dark - Roadway Not Lighted8 (4.7%)
14.3%prior 7
Dawn/Dusk7 (4.1%)
-36.4%prior 11
Other/Unknown4 (2.3%)
Dark - Unknown Roadway Lighting2 (1.2%)

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

Road Surface

Dry132 (77.2%)
-9.0%prior 145
Wet31 (18.1%)
-6.1%prior 33
Snow8 (4.7%)

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 decreased slightly from 347 in 2024 to 339 in 2025. Ford vehicles saw a notable increase in involvement, rising from 34 in 2024 to 49 in 2025, becoming the most involved make. Nissan vehicles experienced a decrease in involvement, from 30 in 2024 to 17 in 2025.

Top Vehicle Makes (339 vehicles)

1
FORD49 (14.5%)
44.1%prior 34
2
CHEVROLET44 (13%)
-4.3%prior 46
3
HONDA42 (12.4%)
13.5%prior 37
4
TOYOTA39 (11.5%)
-11.4%prior 44
5
NISSAN17 (5%)
-43.3%prior 30
6
HYUNDAI15 (4.4%)
0.0%prior 15
7
KIA14 (4.1%)
-33.3%prior 21
8
DODGE10 (2.9%)
-33.3%prior 15
9
MAZDA8 (2.4%)
60.0%prior 5
10
GMC8 (2.4%)
14.3%prior 7

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

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

Sex Distribution (336 persons with recorded sex)

Male171 (50.9%)
-11.9%prior 194
Female165 (49.1%)
0.6%prior 164

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: Cheviot, OH
  • Total crash records analyzed: 171
  • Total persons involved: 364
  • Total vehicles involved: 339

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). "Cheviot, 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/cheviot/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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Cheviot, OH Crash Report — 2025 | ThatCarHitMe.com