Yearly Traffic Safety Analysis

1,494 CRASHES IN
BEAVERCREEK, OH
2025

All metrics benchmarked against2024

Total crashes in Beavercreek increased by 2.12%, from 1463 in the prior year to 1494 in the current year. Despite this overall increase in crashes, total fatalities saw a notable decrease of 40%, falling from 5 to 3. This marks a significant positive shift in crash outcomes year-over-year. Total injuries also decreased by 10.26%, from 429 to 385.

1,494

▲ 2.1%was 1,463

Total Crash Events

3

▼ -40.0%was 5

Persons Killed

385

▼ -10.3%was 429

Persons Injured

154

▼ -1.3%was 156

Hit-and-Run Crashes

Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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 Beavercreek shows a slight upward trend, with total crashes increasing by 2.12% from 1463 to 1494. However, total fatalities decreased by 40%, from 5 to 3, and total injuries also saw a reduction of 10.26%, from 429 to 385. This indicates a positive trend in reducing the most severe outcomes despite a rise in overall crash frequency.

154

Hit-and-Run Crashes — 2025

▼ -1.3% vs prior (156)

The number of hit-and-run crashes decreased slightly from 156 in the prior year to 154 in the current year. Consequently, the hit-and-run rate also saw a minor decrease, moving from 10.7% to 10.3% of all crashes. This indicates a slight downward trend in hit-and-run incidents.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 1↓-100.0%

3

Motorists Killed

Prior: 4↓-25.0%

4

Pedestrians Injured

Prior: 5↓-20.0%

381

Motorists Injured

Prior: 424↓-10.1%

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 Wednesday (250 crashes) in the prior year to Friday (284 crashes) in the current year. Similarly, the peak hour for crashes moved from 5 p.m. to 4 p.m., with both hours recording 144 crashes. These changes suggest a shift in the timing of peak crash occurrences.

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 from 4 in the prior year to 3 in the current year, leading to a drop in the fatal crash rate from 0.3% to 0.2%. Serious injury crashes also decreased by 44%, from 25 to 14, with their proportion of total crashes falling from 1.7% to 0.9%. While minor injury crashes slightly increased from 147 to 151, possible injury crashes decreased from 122 to 102.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.2%
↓-25.0%prior 4
Serious Injury14serious injury crashes0.9%
↓-44.0%prior 25
Minor Injury151minor injury crashes10.1%
↑2.7%prior 147
Possible Injury102possible injury crashes6.8%
↓-16.4%prior 122
No Injury1,224no injury crashes81.9%
↑5.1%prior 1,165

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 decreased from 912 to 846, while those in cloudy conditions increased from 248 to 350. There was a notable increase in crashes during snowy conditions, rising from 57 to 98, even as crashes on wet roads decreased from 314 to 266. Daylight crashes increased from 1007 to 1065, while crashes in dark-lighted roadway conditions decreased from 208 to 187.

Weather

Clear846 (56.6%)
↓-7.2%prior 912
Cloudy350 (23.4%)
↑41.1%prior 248
Rain172 (11.5%)
↓-13.1%prior 198
Snow103 (6.9%)
↑17.0%prior 88
Other/Unknown9 (0.6%)
↑12.5%prior 8
Fog; Smog; Smoke5 (0.3%)
Blowing Sand; Soil; Dirt; Snow3 (0.2%)
Severe Crosswinds3 (0.2%)
Freezing Rain or Freezing Drizzle2 (0.1%)
Sleet; Hail1 (0.1%)

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

Lighting

Daylight1,065 (71.3%)
↑5.8%prior 1,007
Dark - Lighted Roadway187 (12.5%)
↓-10.1%prior 208
Dark - Roadway Not Lighted146 (9.8%)
↑4.3%prior 140
Dawn/Dusk87 (5.8%)
↓-10.3%prior 97
Other/Unknown5 (0.3%)
→0.0%prior 5
Dark - Unknown Roadway Lighting4 (0.3%)
↓-33.3%prior 6

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

Road Surface

Dry1,097 (73.4%)
↑4.0%prior 1,055
Wet266 (17.8%)
↓-15.3%prior 314
Snow98 (6.6%)
↑71.9%prior 57
Ice22 (1.5%)
↓-15.4%prior 26
Other/Unknown8 (0.5%)
↓-20.0%prior 10
Slush3 (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 increased from 2656 to 2751 year-over-year. While Chevrolet, Honda, and Ford remained the top three vehicle makes involved, crashes involving Jeep vehicles decreased from 125 to 104, and Dodge vehicles decreased from 100 to 89. Regarding persons involved, the 21-25, 26-34, 35-44, and 45-54 age groups saw increases in their representation in crashes, while the 0-15, 16-20, 55-64, and 65+ age groups saw decreases.

Top Vehicle Makes (2,751 vehicles)

1
CHEVROLET394 (14.3%)
↑4.5%prior 377
2
HONDA363 (13.2%)
↑4.6%prior 347
3
FORD298 (10.8%)
↑4.6%prior 285
4
TOYOTA256 (9.3%)
↓-0.4%prior 257
5
NISSAN154 (5.6%)
↑6.9%prior 144
6
KIA129 (4.7%)
↑22.9%prior 105
7
HYUNDAI126 (4.6%)
↑10.5%prior 114
8
JEEP104 (3.8%)
↓-16.8%prior 125
9
DODGE89 (3.2%)
↓-11.0%prior 100
10
MAZDA70 (2.5%)
↑48.9%prior 47

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

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

Sex Distribution (3,572 persons with recorded sex)

Male1,876 (52.5%)
↑2.1%prior 1,837
Female1,696 (47.5%)
↑3.7%prior 1,636

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 7, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-12-31 (365 days)
  • Geographic scope: Beavercreek, OH
  • Total crash records analyzed: 1,494
  • Total persons involved: 3,682
  • Total vehicles involved: 2,751

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). "Beavercreek, OH Crash Intelligence Report: 2025." Published July 7, 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/beavercreek/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

ThatCarHitMe.com · An Injuria.ai Company

Beavercreek, OH Crash Report — 2025 | ThatCarHitMe.com