ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · OHIO, OH · 2024
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/ohio/statewide/2024-annual-report
Yearly Traffic Safety Analysis
8,191 CRASHES IN
OHIO, OH
2024
In 2024, Butler County recorded 8,191 total crashes, a 3.8% increase from the 7,892 crashes reported in 2023. While overall crash volume rose modestly, the data shows a notable increase in incidents involving vulnerable road users. Specifically, pedestrian-involved crashes increased by 38.8% year-over-year, from 49 to 68, with related fatalities more than doubling from 2 to 5.
8,191
▲ 3.8%was 7,892
Total Crash Events
36
▲ 5.9%was 34
Persons Killed
3,085
▲ 8.2%was 2,850
Persons Injured
1,323
▲ 2.0%was 1,297
Hit-and-Run Crashes
Note: "Persons Killed" (36) counts individual fatalities across all crash events. "Fatal" in the severity table below (33) 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 · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic crashes in Butler County trended upward in 2024 compared to the previous year. The total number of crashes increased by 299, from 7,892 to 8,191. This was accompanied by a rise in both total injuries, which grew from 2,850 to 3,085, and total fatalities, which increased from 34 to 36.
1,323
Hit-and-Run Crashes — 2024
▲ 2.0% vs prior (1,297)
The number of hit-and-run crashes in Butler County saw a slight increase from 1,297 in 2023 to 1,323 in 2024. However, because the total number of crashes also increased, the hit-and-run rate as a percentage of all crashes slightly decreased. In 2024, hit-and-runs accounted for 16.2% of all crashes, down from 16.4% in the prior year, indicating a relatively stable trend.
Vulnerable Road User Casualties
5
Pedestrians Killed
31
Motorists Killed
55
Pedestrians Injured
3,030
Motorists Injured
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · 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 largely consistent year-over-year, with some minor shifts. Friday continued to be the day with the highest number of crashes, increasing from 1,332 in 2023 to 1,424 in 2024. The peak hour for crashes shifted slightly earlier, from 4 p.m. in 2023 (675 crashes) to 3 p.m. in 2024 (727 crashes), though the afternoon commute hours remained the most frequent time for incidents in both periods.
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes in Butler County saw a slight shift towards more injuries in 2024. The fatal crash rate remained stable at approximately 0.4% of all crashes in both years, with 33 fatal crashes in 2024 compared to 31 in 2023. However, the proportion of crashes resulting in serious or minor injuries increased; serious injury crashes rose from 2.0% to 2.1% of the total, and minor injury crashes grew from 12.9% to 13.8%. Correspondingly, the share of crashes with no reported injuries decreased from 74.1% to 73.6%.
Severity is per crash event (most severe injury). 33 fatal crash events resulted in 36 persons killed.
Outcome by Severity (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Road & Environmental Conditions
The majority of crashes in both 2024 and 2023 occurred in clear weather and daylight conditions, with proportions remaining stable year-over-year. In 2024, approximately 61.5% of crashes happened in clear weather and 68.4% occurred during daylight hours, nearly identical to the prior year. However, there was a notable increase in crashes occurring on snowy roads, which rose from 73 incidents (0.9% of total) in 2023 to 149 (1.8% of total) in 2024. Similarly, crashes during snowy weather conditions increased from 125 to 208 year-over-year.
Weather
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The types of vehicles and demographics of individuals involved in crashes showed little change between 2023 and 2024. The top three vehicle makes involved in collisions remained Chevrolet, Ford, and Honda in both years, with their respective counts staying relatively stable. The age distribution of all persons involved in crashes was also consistent, with the 26-34 age group representing the largest share in both 2024 (14.9%) and 2023 (15.0%).
Top Vehicle Makes (15,516 vehicles)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
1,032 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (18,881 persons with recorded sex)
Source: Ohio Crash Data (ODOT TIMS) · Csv Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: ohio, OH
- Total crash records analyzed: 8,191
- Total persons involved: 19,888
- Total vehicles involved: 15,516
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: 2024." Published July 5, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Ohio Crash Data (ODOT TIMS), Csv Open Data. Available at: https://thatcarhitme.com/crash-data/ohio/statewide/2024-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Ohio Crash Data (ODOT TIMS) · Csv
Period: 2024-01-01 – 2024-12-31
Generated: July 5, 2026 · All rights reserved