Yearly Traffic Safety Analysis

1,189 CRASHES IN
BEAVERCREEK, OH
2023

All metrics benchmarked against2022

Total crashes in 2023 were 1189, down from 1253 in 2022, a decrease of 5.11%. The most significant change observed was a 33.33% reduction in total fatalities, from 3 in 2022 to 2 in 2023.

1,189

▼ -5.1%was 1,253

Total Crash Events

2

▼ -33.3%was 3

Persons Killed

322

▼ -17.2%was 389

Persons Injured

134

▼ -7.6%was 145

Hit-and-Run Crashes

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) 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 · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash metrics in Beavercreek showed a declining trend year-over-year. Total crashes decreased by 5.11%, from 1253 in 2022 to 1189 in 2023. Fatalities saw a 33.33% reduction, decreasing from 3 to 2, and total injuries declined by 17.22%, from 389 to 322.

134

Hit-and-Run Crashes — 2023

▼ -7.6% vs prior (145)

Hit-and-run crashes decreased from 145 in 2022 to 134 in 2023. The hit-and-run rate also saw a slight decrease, moving from 11.6% in 2022 to 11.3% in 2023.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 1↓-100.0%

2

Motorists Killed

Prior: 2→0.0%

6

Pedestrians Injured

Prior: 6→0.0%

316

Motorists Injured

Prior: 383↓-17.5%

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · 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 in 2022, with 242 incidents, to Tuesday in 2023, with 211 incidents. The peak hour remained 5 PM for both periods, though the number of crashes at this hour decreased from 127 in 2022 to 119 in 2023.

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The fatal crash rate decreased from 0.24% in 2022 to 0.17% in 2023. The proportion of crashes resulting in no injury increased from 77.2% in 2022 to 80.1% in 2023, while the combined total of serious, minor, and possible injury crashes decreased from 283 to 235.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.2%
↓-33.3%prior 3
Serious Injury19serious injury crashes1.6%
↓-13.6%prior 22
Minor Injury122minor injury crashes10.3%
↓-19.2%prior 151
Possible Injury94possible injury crashes7.9%
↓-14.5%prior 110
No Injury952no injury crashes80.1%
↓-1.6%prior 967

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Road & Environmental Conditions

Crashes occurring in snowy weather decreased by 53.8%, from 65 incidents in 2022 to 30 in 2023. Similarly, crashes on snow-covered road surfaces dropped from 51 in 2022 to 18 in 2023. Crashes in "Dark - Lighted Roadway" conditions also saw a notable decrease of 46 incidents, from 184 in 2022 to 138 in 2023.

Weather

Clear756 (63.6%)
↓-1.3%prior 766
Cloudy248 (20.9%)
↓-3.1%prior 256
Rain138 (11.6%)
↓-6.1%prior 147
Snow30 (2.5%)
↓-53.8%prior 65
Other/Unknown9 (0.8%)
↑12.5%prior 8
Fog; Smog; Smoke3 (0.3%)
Sleet; Hail3 (0.3%)
↓-40.0%prior 5
Severe Crosswinds2 (0.2%)

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight822 (69.1%)
↓-1.9%prior 838
Dark - Lighted Roadway138 (11.6%)
↓-25.0%prior 184
Dark - Roadway Not Lighted137 (11.5%)
↓-8.1%prior 149
Dawn/Dusk77 (6.5%)
↑16.7%prior 66
Other/Unknown11 (0.9%)
↑37.5%prior 8
Dark - Unknown Roadway Lighting4 (0.3%)
↓-50.0%prior 8

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry907 (76.3%)
↓-3.6%prior 941
Wet238 (20.0%)
↑2.1%prior 233
Ice19 (1.6%)
↓-9.5%prior 21
Snow18 (1.5%)
↓-64.7%prior 51
Other/Unknown7 (0.6%)
↑16.7%prior 6

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 2267 in 2022 to 2146 in 2023. There was an increase of 90 persons aged 0-15 involved in crashes, rising from 250 in 2022 to 340 in 2023, while the 16-20 age group saw a decrease of 31 persons. The number of female persons involved in crashes increased by 41, from 1351 to 1392, contrasting with a decrease of 113 male persons.

Top Vehicle Makes (2,146 vehicles)

1
CHEVROLET308 (14.4%)
↓-12.3%prior 351
2
FORD253 (11.8%)
↓-7.0%prior 272
3
HONDA244 (11.4%)
↓-13.2%prior 281
4
TOYOTA218 (10.2%)
↑9.5%prior 199
5
NISSAN104 (4.8%)
↓-4.6%prior 109
6
HYUNDAI101 (4.7%)
↑26.3%prior 80
7
JEEP85 (4%)
→0.0%prior 85
8
DODGE84 (3.9%)
↓-12.5%prior 96
9
KIA76 (3.5%)
↓-11.6%prior 86
10
GMC58 (2.7%)
↑3.6%prior 56

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (2,790 persons with recorded sex)

Male1,398 (50.1%)
↓-7.5%prior 1,511
Female1,392 (49.9%)
↑3.0%prior 1,351

Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
  • Report generated: July 7, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: Beavercreek, OH
  • Total crash records analyzed: 1,189
  • Total persons involved: 2,875
  • Total vehicles involved: 2,146

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: 2023." Published July 7, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/beavercreek/2023-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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Beavercreek, OH Crash Report — 2023 | ThatCarHitMe.com