Yearly Traffic Safety Analysis

7,892 CRASHES IN
OHIO, OH
2023

All metrics benchmarked against2022

In 2023, Butler County recorded 7,892 total crashes, a 2.4% decrease from the 8,087 crashes reported in 2022. While overall crashes and injuries declined, the number of total fatalities remained unchanged at 34. A notable year-over-year shift was the 9.9% increase in crashes involving a driver under the influence, which rose from 332 to 365.

7,892

-2.4%was 8,087

Total Crash Events

34

Persons Killed

2,850

-6.2%was 3,039

Persons Injured

1,297

-7.2%was 1,397

Hit-and-Run Crashes

Note: "Persons Killed" (34) counts individual fatalities across all crash events. "Fatal" in the severity table below (31) 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 traffic crashes in Butler County showed a downward trend from 2022 to 2023, decreasing by 2.4% from 8,087 to 7,892. This decline was accompanied by a 6.2% reduction in total injuries, which fell from 3,039 to 2,850. The number of total fatalities remained stable at 34 for both years.

1,297

Hit-and-Run Crashes — 2023

-7.2% vs prior (1,397)

Hit-and-run incidents in Butler County saw a notable decrease between 2022 and 2023. The total number of hit-and-run crashes fell by 7.2%, from 1,397 to 1,297. Consequently, the hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, also trended downward from 17.3% in 2022 to 16.4% in 2023.

Vulnerable Road User Casualties

2

Pedestrians Killed

Prior: 4-50.0%

32

Motorists Killed

Prior: 306.7%

45

Pedestrians Injured

Prior: 450.0%

2,805

Motorists Injured

Prior: 2,994-6.3%

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 temporal patterns of crashes in Butler County remained consistent year-over-year. Friday was the peak day for crashes in both 2023 (1,332 crashes) and 2022 (1,403 crashes). Similarly, the 4 p.m. hour was the most frequent time for incidents in both periods, with 675 crashes in 2023 and 717 in 2022. The overall daily and hourly distributions show no significant shifts between the two years.

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 in Butler County decreased slightly from 0.42% in 2022 to 0.39% in 2023, with the number of fatal crashes dropping from 34 to 31. The proportion of serious injury crashes remained stable at 2.0% of all incidents in both years. Crashes resulting in minor injuries saw a slight proportional increase from 12.5% to 12.9%, while possible injury crashes decreased from 11.4% to 10.6% of the total.

Severity is per crash event (most severe injury). 31 fatal crash events resulted in 34 persons killed.

Outcome by Severity (Crash Events)

Fatal31fatal crashes0.4%
-8.8%prior 34
Serious Injury156serious injury crashes2%
-4.3%prior 163
Minor Injury1,017minor injury crashes12.9%
1.0%prior 1,007
Possible Injury839possible injury crashes10.6%
-8.8%prior 920
No Injury5,849no injury crashes74.1%
-1.9%prior 5,963

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

The majority of crashes in both 2023 and 2022 occurred in clear weather and on dry roads. In 2023, 61.5% of crashes were in clear weather, compared to 62.8% in 2022. There was a notable decrease in crashes on snowy roads, from 272 incidents in 2022 to 73 in 2023. Conversely, crashes on wet roads increased from 1,354 to 1,500. Crashes in daylight conditions made up a slightly larger share of the total, rising from 65.9% in 2022 to 68.2% in 2023.

Weather

Clear4,852 (61.5%)
-4.4%prior 5,076
Cloudy1,890 (23.9%)
5.8%prior 1,786
Rain879 (11.1%)
11.7%prior 787
Snow125 (1.6%)
-46.8%prior 235
Other/Unknown85 (1.1%)
-33.6%prior 128
Fog; Smog; Smoke35 (0.4%)
16.7%prior 30
Freezing Rain or Freezing Drizzle10 (0.1%)
0.0%prior 10
Sleet; Hail9 (0.1%)
-43.8%prior 16
Severe Crosswinds7 (0.1%)
0.0%prior 7

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

Lighting

Daylight5,379 (68.2%)
1.0%prior 5,328
Dark - Lighted Roadway1,207 (15.3%)
-10.7%prior 1,352
Dark - Roadway Not Lighted689 (8.7%)
-10.2%prior 767
Dawn/Dusk498 (6.3%)
2.3%prior 487
Other/Unknown79 (1.0%)
-31.9%prior 116
Dark - Unknown Roadway Lighting40 (0.5%)
8.1%prior 37

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

Road Surface

Dry6,212 (78.7%)
-0.7%prior 6,254
Wet1,500 (19.0%)
10.8%prior 1,354
Snow73 (0.9%)
-73.2%prior 272
Other/Unknown70 (0.9%)
-23.1%prior 91
Ice28 (0.4%)
-69.6%prior 92
Slush5 (0.1%)
-72.2%prior 18
Sand; Mud; Dirt; Oil; Gravel3 (0.0%)
-50.0%prior 6
Water (Standing; Moving)1 (0.0%)

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

Vehicles & Demographics

The top vehicle makes involved in crashes remained consistent, with Chevrolet, Ford, and Honda being the top three in both 2023 and 2022. Chevrolet involvement decreased from 2,319 to 2,175, and Ford from 2,071 to 2,032. In terms of persons involved, most age groups saw stable or slightly decreasing numbers, but there was an increase in persons aged 65 and older, from 1,795 in 2022 to 1,925 in 2023.

Top Vehicle Makes (14,962 vehicles)

1
CHEVROLET2,175 (14.5%)
-6.2%prior 2,319
2
FORD2,032 (13.6%)
-1.9%prior 2,071
3
HONDA1,581 (10.6%)
1.9%prior 1,551
4
TOYOTA1,499 (10%)
-0.9%prior 1,512
5
NISSAN754 (5%)
-6.6%prior 807
6
KIA633 (4.2%)
4.1%prior 608
7
HYUNDAI587 (3.9%)
-9.1%prior 646
8
DODGE553 (3.7%)
-6.4%prior 591
9
JEEP501 (3.3%)
0.4%prior 499
10
GMC436 (2.9%)
4.3%prior 418

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

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

Sex Distribution (18,153 persons with recorded sex)

Male9,883 (54.4%)
-2.8%prior 10,168
Female8,270 (45.6%)
-1.7%prior 8,409

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 5, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: ohio, OH
  • Total crash records analyzed: 7,892
  • Total persons involved: 19,088
  • Total vehicles involved: 14,962

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). "ohio, OH Crash Intelligence Report: 2023." Published July 5, 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/statewide/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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Butler County, OH Crash Report — 2023 | ThatCarHitMe.com